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Top 3 Wins and Wants from the Latest TDWI Modernization Report

We recently reported that analyst and research firm TDWI had released its latest report on IT modernization: Maximizing the Business Value of Data: Platforms, Integration, and Management . The report surveyed more than 300 IT executives, data analysts, data scientists, developers, and enterprise architects to find out what their priorities, objectives, and experiences have been in terms of IT modernization. In many ways, organizations have made great progress. From new data management and data integration capabilities to smarter processes for higher business efficiency and innovations, IT departments have helped organizations get more value from the data they generate. In other cases, organizations are still stuck in data silos and struggling with improving data quality as data distribution increases due to the proliferation of multi-cloud environments. In this article, we'll summarize the top three areas where organizations are winning and the top three ways that organizations are left wanting when it comes to digital transformation and IT modernization. Download the complete report, Maximizing the Business Value of Data: Platforms, Integration, and Management , and find out the latest strategies, trends, and challenges for businesses seeking to modernize. Wins 1. Cloud migration Moving legacy applications to the cloud is essential for organizations seeking to increase operational efficiency and effectiveness, generate new business models through analytics, and support automated decision-making — the three biggest drivers of modernization efforts. And, most organizations are succeeding. Seventy-two percent of respondents in the TDWI survey reported being very or somewhat successful moving legacy applications to cloud services. Migrating to the cloud is one thing, but getting data to the right people and systems at the right time is another. For organizations to get full value of their data in the cloud, they also need to ensure the flow of data into business intelligence (BI) reports, data warehouses, and embedded analytics in applications. 2. 24/7 operations The ability to run continuous operations is a widely shared objective when organizations take on a transformation effort. Increasingly global supply chains, smaller and more dispersed office locations, and growing international customer bases are major drivers of 24/7 ops. And, according to the TDWI survey, more than two-thirds of organizations say they've successfully transitioned to continuous operations. 3. User satisfaction Organizations are also winning the race to match users' needs when provisioning data for BI, analytics, data integration, and the data management stack. Eighty percent of respondents said their users were satisfied with these capabilities. Additionally, 72% trusted in the quality of data and how it's governed, and 68% were satisfied that role-based access controls were doing a good job of ensuring that only authorized users had access to sensitive data. Wants 1. Artificial intelligence, machine learning, and predictive intelligence Machine learning (ML) and artificial intelligence (AI) comprise a key area where organizations are left wanting. While 51% of respondents were somewhat or very satisfied with their use of AI and ML data, almost the same number (49%) said they were neither satisfied nor dissatisfied, somewhat dissatisfied, or very dissatisfied. Similar results were also reported for data-driven predictive modeling. The report notes that provisioning data for AI/ML is more complex and varied than for BI reporting and dashboards, but that cloud-based data integration and management platforms for analytics and AI/ML could increase satisfaction for these use cases. 2. More value from data Perhaps related to the AI/ML point, the desire to get more value out of their data was cited as the biggest challenge organizations face by almost 50% of respondents. Organizations today capture more raw, unstructured, and streaming data than ever, and they're still generating and storing structured enterprise data from a range of sources. One of the big challenges organizations reported is running analytics on so many different data types. According to TDWI, organizations need to overcome this challenge to inform data science and capitalize modern, analytics-infused applications . 3. Easier search A big part of extracting more value from data is making it easy to search. Traditional search functionality, however, depends on technically challenging SQL queries. According to the TDWI report, 19% of users were dissatisfied with their ability to search for data, reports, and dashboards using natural language. Unsurprisingly, frustration with legacy technologies was cited as the third biggest challenge facing organizations, according to the survey. The way forward "In most cases, data becomes more valuable when data owners share data," the TDWI report concludes. Additionally, the key to making data more shareable is moving toward a cloud data platform , one that makes data more available while simultaneously governing access when there's a need to protect the confidentiality of sensitive data. Not only does a cloud data platform make data more accessible and shareable for users, it also creates a pipeline for delivering data to applications that can use it for analytics, AI, and ML. Read the full TDWI report: Maximizing the Business Value of Data: Platforms, Integration, and Management .

January 11, 2023

MongoDB Named a Leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems

MongoDB is proud to be named a Leader in the 2022 Gartner® Magic Quadrant for Cloud Database Management Systems (DBMS). We believe this achievement makes MongoDB the only pure-play application database provider recognized as a Leader. Here at MongoDB, we feel the true achievement is not in the placement, rather the means by which it was achieved. At MongoDB we strive to offer engineering teams an enhanced approach through a unified developer data platform as opposed to contending with multiple disparate and fragmented technologies and products. Our desire is to give customers a single cohesive design philosophy with a consistent workflow, API, data model, query language, management and navigation through this unified data developer platform. This design is flexible enough to service almost any application - so significantly reduces cognitive toil engineering teams have to deal with. Therefore, teams can build and release faster, evolving their apps at higher velocity than competitors. We believe that this philosophy has been validated, not only by the community of developers that have built up around MongoDB, but now by this placement in this publication from Gartner. Based on our conversations with customers, we don’t think that having a tool for every job makes sense because over time, the tax and cost of learning, managing and supporting those different tools doesn’t make a lot of sense or just becomes cost-prohibitive. 1 Dev Ittycheria, MongoDB CEO - November 2022 Cloud Database Management Systems are defined by Gartner as “Core capabilities are that vendors fully supply provider-managed public or private cloud software systems that manage data in cloud storage. Data is stored in a cloud storage tier. Optionally, they may cater to multiple data models and data types — relational, nonrelational (document, key value, wide column, graph), geospatial, time series and others.” To help users understand this emerging technology landscape, Gartner published its first Cloud Database Management Systems Magic Quadrant back in 2020. Two years on and after an evolving criteria, Gartner has named MongoDB as a Leader in its debut as a qualifying vendor for the latest 2022 Magic Quadrant. We believe MongoDB was named a Leader in this report due to the R&D investments made in further building out capabilities in MongoDB Atlas , our multi-cloud developer data platform. These investments were driven by the demands of the developer communities we work with. You told us how you struggle to bring together all of the data infrastructure needed to power modern digital experiences – from transactional databases to analytics processing, full-text search, and edge computing. This is exactly what our developer data platform offers. It provides an elegant, integrated, and fully-managed data architecture accessed via a unified set of APIs. With MongoDB Atlas, developers are more productive, they ship code faster and improve it more frequently. Cloud native - First and foremost Virtually every organization we work with at MongoDB has a cloud strategy. It's not zero sum, so there are some apps that will never go there. However, everyone is either using or looking to use the cloud because of the agility it brings to them. MongoDB delivers this to our customers via a fully managed, cloud-native document-based database; MongoDB Atlas , our globally distributed developer data platform. This platform easily and securely reduces time spent on development cycles and empowers organizations with flexible schema and the tools they need to innovate. MongoDB Atlas ’ multi-cloud clusters take the concept a step further by enabling a single application to use multiple clouds simultaneously. With multi-cloud clusters, data is easily distributed across different public clouds, like Amazon Web Services ( AWS ), Google Cloud Platform ( GCP ), and Microsoft Azure . This enables data mobility and resilience without the complexity of manual data replication. This philosophy was taken a stage further earlier this year with the delivery of our serverless architecture . This abstracts away server, storage, and network provisioning, plus the management overhead. Thus, organizations and their development teams can focus on building differentiating features and creating great app experiences for their customers. Such expanding product vision was called out by Gartner as a notable strength. The authors of the magic quadrant recognised our plans to deliver more comprehensive analytics support and SQL capabilities alongside the existing functionality delivered to date. These additions have extended the document data model to embrace time series , application search and application-driven analytics use cases among others, and deliver an industry proven multi-model general purpose operational and transactional database. The community of MongoDB users have also spoken on Gartner Peer Insights™; 97% of MongoDB users who provided reviews to Gartner Peer Insights platform said they would recommend us 2 (based on 36 ratings in the last 12 months, as on December 21, 2022). Evaluating a leader in the Magic Quadrant for cloud database management systems Gartner evaluated 20 of the most significant cloud DBMS vendors against 15 criteria (7 on execution and 8 on vision). These criteria span current product offering, market responsiveness and record through to innovation and the business model. Our rapid adoption in the past decade and move to cloud was highlighted by Gartner as a strength. It is our opinion that our placement as a Leader in this Magic Quadrant is an acknowledgement of this. Visit the Gartner website to obtain the full report here (requires Gartner subscription) 3 . Customer momentum Organizations frequently start their journey with MongoDB by employing it as an operational database. This can be for both, new cloud-native services, as well as modernized legacy apps. Both scenarios are routinely enhanced by appending application search, mobile and analytics use cases to the core operational database requirement. Increasingly more diverse teams are now improving customer experience and attaining business agility by embracing what the MongoDB community have become accustomed to for years. Examples include: Forbes for migration to the cloud in six months Verizon for pioneering 5G connectivity and data storage to the edge Powerledger for legacy data platform migration Getting started on your Cloud journey MongoDB Atlas is engineered to help you make the shift to the cloud. We can come in to understand more about your key transformation initiatives and workshop ideas with your teams to accelerate delivery. In the interim, your engineers and developers can familiarize themselves with MongoDB right away by signing up for a free account on MongoDB Atlas . Have them create a free database cluster, load your own data or our sample data sets, and explore what’s possible within the platform. From November 2022, we have enhanced the MongoDB learning experience . The updated program includes an expanded catalog of courses, streamlined developer certifications, 24/7 exam access, hands-on Atlas labs, and foreign language support. Additionally, the MongoDB Developer Center hosts an array of resources including tutorials, sample code, videos, and documentation. 1 Source: SiliconANGLE article, 28th November 2022: “ MongoDB’s Dev Ittycheria on how the cloud is expanding developers’ influence”, Mike Wheatley 2 Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. 3 Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. The Gartner logo is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. All rights reserved.

January 10, 2023

Top 10 MongoDB Blogs of 2022

2022 was a year of many milestones at MongoDB — from global events to enhancements to the MongoDB Atlas developer data platform , and everything in between. Our most popular blog posts reflected these achievements, covering announcements, events, and more, from MongoDB 6.0 to Queryable Encryption to our annual Partner of the Year awards. Read on for a roundup of all our top blog posts from 2022. 10. Recognizing MongoDB's Partners of the Year Partners are a big part of MongoDB’s success, helping our customers modernize their infrastructure with MongoDB, integrating MongoDB into their existing systems, and even selling Atlas on their marketplaces. Other partners also help adapt the MongoDB developer data platform to various sectors and niches, such as streaming data, ecommerce, and financial services. Read Working Together: MongoDB’s Partner of the Year Awards to learn about a few of these organizations. 9. Syncing data with cluster-to-cluster sync Data sync and backups are a key part of the Atlas developer data platform. Until recently, however, there was no easy way to sync data across clusters, especially if they were in different environments — think syncing a hybrid cluster with a cloud-native one. This blog introduces cluster-to-cluster sync, which enables one-way synchronization between any two MongoDB clusters, regardless of type. The sync process is very flexible, includes real-time monitoring, and controls to pause, resume, or reverse synchronization at any time. Read Keeping Data in Sync Anywhere with Cluster-to-Cluster Sync . 8. How MongoDB 6.0 improves time series data Utilized in everything from IoT devices to ecommerce, time series data is an important use case for many industries. Since their release in MongoDB 5.0, time series collections have been continuously improved to help developers tackle a wider range of problems, including columnar compression for smaller storage footprints, densification for filling data gaps, and enhanced indexing on time series collections for better read performance. Read MongoDB Announces New Time Series Capabilities Coming For MongoDB 6.0 . 7. Reducing complexity with Apollo GraphQL and MongoDB Atlas As a layer that unifies your cloud data, APIs, and services into a single, accessible schema (known as a graph), GraphQL brings a streamlined, monolithic approach to operations while retaining the benefits of a microservices architecture. This post discusses how the scalability, reliability, and usability of the MongoDB Atlas developer data platform make it an ideal data layer for any tech environment that utilizes a graph. Read Building a Modern App Stack with Apollo GraphQL and MongoDB Atlas . 6. Improvements to change streams Change streams enable applications to recognize data changes throughout their environment, simplifying the creation of event-driven applications and abilities like real-time personalization, notifications, and more. This post explains the upgrades to change streams in depth, including the ability to retrieve the before and after states of documents to address more use cases; support for data definition language (DDL) operations (such as creating or dropping indexes with a single command) to simplify database management; and filtering notifications from aggregation frameworks for improved performance. Read Change Streams in MongoDB 6.0 — Support Pre- and Post-Image Retrieval, DDL Operations, and more . 5. Breaking biases and getting more women into tech leadership Even as representation in tech improves, only 26.7% of technologists are women — who leave the sector at a rate 45% higher than their male counterparts. For International Women’s Day, MongoDB senior product designer Ksenia Samokhvalova sat down with executives for a panel discussion on the root causes of (and potential solutions for) this issue. They discussed the differences between inclusivity and diversity, the hurdles for retention, how bias begins at a young age, and the importance of mentorship. Read Breaking the Bias: How Can We Get More Women into Top-Level Tech . 4. Highlights from MongoDB World 2022 After three years, MongoDB World returned to New York City’s Javits Center from June 7-9 for three days of exploration, inspiration, and innovation. Readers were eager to get the scoop on everything they missed, from new product launches to workshops. Day 1 kicked off the conference with keynotes announcing the latest features and outlining the concept of a developer data platform, an integrated set of data and application services with a unified developer experience. Day 2 included over 80 breakout sessions on topics ranging from diversity to data modeling to building with Rust. The last day featured a keynote from renowned inventor Ray Kurzweil, interactive competitions and challenges at the Builder’s Fest, and the “Chaos Presentation” from MongoDB CTO Mark Porter. Read our recaps for day 1 , day 2 , and day 3 of MongoDB World. If you are interested in watching full sessions from MongoDB World, check out our playlist on YouTube . 3. Introducing MongoDB's Prometheus monitoring integration A popular open source monitoring platform, Prometheus features a flexible query language (PromQL), a versatile data model that supports time series data, customizable alerting, a large, active user community, and consistent updates. In this post, learn how the integration enables Prometheus to collect hardware and monitoring metrics from MongoDB and display them directly in the Prometheus UI or via Grafana dashboards. You can simplify monitoring with the Prometheus integration for MongoDB, removing the need to toggle between interfaces and keeping all your metrics in one place. Read Introducing MongoDB’s Prometheus Monitoring Integration . 2. Queryable Encryption For years, Queryable Encryption (QE) existed only as a theory: What if users could query fully-encrypted data, and only have to decrypt it once the results were returned? Given that data has traditionally been encrypted at rest or in transit — but not during the querying process — a feature like QE would add an additional layer of protection and remove a known vulnerability. We were happy to see that readers were as excited as we were at the release of Queryable Encryption in preview. This announcement was only possible after years of research and partnerships with outside experts from Brown University, the University of Chicago, and a leading organization in the field. For more background on the evolution of Queryable Encryption, check out Wired’s article, A Long Awaited Defense Against Data Leaks May Have Just Arrived . Now, you can run fast, rich queries on encrypted data at scale, keeping it secure throughout its lifecycle. Queryable Encryption also helps speed up app development because it is easy to use and set up, is compatible with MongoDB drivers, and supports strong key management and cryptography. Read MongoDB Releases Queryable Encryption Preview . 1. 7 reasons to upgrade to MongoDB 6.0 The release of MongoDB 6.0 was big news this year. It brought improvements and new features in areas, like security, change streams, time series collections, operations, and more — making the developer data platform even easier to run, scale, and build with. As with other releases, MongoDB 6.0 removes data silos, eliminates complexity, and frees up teams to spend less time troubleshooting custom architectures — and more time creating apps and products. Some highlights were the inclusion of Atlas Search facets to easily filter results, the creation of initial sync (via file copy) to quickly catch up new or slow nodes in your replica sets, and the addition of new operators to aggregation frameworks for faster analysis and deeper insights. Read 7 Big Reasons to Upgrade to MongoDB 6.0 . We hope you had a great 2022, and that you enjoyed attending our events, reading our blogs, and using the MongoDB Atlas developer data platform. As always, you can sign up for a free (forever) cluster on Atlas.

December 19, 2022

Forrester Study: How IT Decision Makers Are Using Next-Generation Data Platforms

Data is critical to every financial institution; it is recognized as a core asset to drive customer growth and innovation. As the need to leverage data efficiently increases, however, the legacy technology that still underpins many organizations is not built to support today’s requirements. Not only is this infrastructure costly and complex, it doesn’t support the diversity of workloads and functions that modern applications require. To overcome these challenges, organizations are increasingly adopting an integrated data platform that offers a seamless developer experience, runs anywhere, and scales to meet growing business needs. To better understand how such data platforms are being used, MongoDB commissioned Forrester Consulting to survey global IT decision makers at financial services and fintech organizations. In this article, we’ll share findings from the survey to help answer questions such as: What impact are legacy technologies having on financial services? What are the requirements for a data platform? And, for those already adopting next-generation data platforms, what benefits are they experiencing? According to the survey, the majority of decision makers are aware of issues related to legacy technologies: 57% of respondents said that their legacy technology was too expensive and doesn’t fulfill the requirements of modern applications. 50% said legacy technology cannot support the volume, variety, and velocity of transactional data. 47% noted that their systems landscape struggled to handle the rate of change required to stay up to date with customer expectations. Download the full study: What’s Driving Next-Generation Data Platform Adoption in Financial Services What is a next-generation data platform? Within the context of this study, a next-generation data platform is defined as supporting flexible and versatile data models, offering multiple access patterns (e.g., document, relational, graph), and catering to the speed, scale, performance, integration, and security needs of small or large organizations for new development or modernization efforts. All of these features are included in a single platform that delivers real-time, consistent, and trusted data to support a business. Adoption of next-generation data platforms in the financial services and fintech space is already high, with nearly 90% of respondents saying they are already adopting. The benefits are already understood, with 74% of respondents acknowledging not only that there are technology benefits but also that a next-generation data platform frees up teams to focus on innovation and enables faster software builds and iterating at scale (76%). The key to innovation - What's driving the adoption of next-gen data platforms? Security and risk management are key use cases Given the huge amount of confidential client and customer data that the financial services industry deals with on a daily basis — and the strict regulations — security must be of highest priority. The perceived value of this data also makes financial services organizations a primary target for data breaches. Many organizations are still working to realize the full potential of adopting next-generation data platforms; however, it’s understood that such platforms are the only way to manage cost, maximize security, and continue to innovate. Fraud protection (51%), risk management (46%) and anti-money laundering (46%) are high priorities for any new data platform, according to respondents. And, these findings directly correlate with 40% of respondents saying that their current database is unable to meet security requirements. Multi-cloud is driving investment Regardless of their size and business mix, most financial institutions have come to understand the benefits of cloud and multi-cloud services. Multi-cloud — the practice of leveraging cloud services from more than one provider — is no longer just a nice-to-have option. Regulators, however, are increasingly focused on cloud concentration risk as so much of the technology underpinning global financial services relies on so few large cloud services providers. Regulators have so far offered financial institutions warnings and guidance rather than enacting new regulations, although they are increasingly focused on ensuring that the industry is considering plans. An outage or cyberattack at a large public cloud provider, they worry, could derail the global financial system. Decision makers are finding that multiple clouds provide them with lower costs, higher performance, and greater flexibility. This is why, according to the survey, the top driver for investment for decision makers when adopting next-generation data platforms is multi/hybrid cloud capabilities (49%), followed by scalability (44%). Improving real-time analytics capabilities The ability to perform real-time analytics is key for financial institutions, as they need to provide more personalized customer experiences, react more quickly to market trends, and detect and prevent potential threats. With legacy systems, few of these organizations can respond to changes in data minute by minute or second by second. Among survey respondents, real-time analytics was the top feature (54%) that organizations are interested in with regard to next-generation data platforms. With improved analytics capabilities, businesses can analyze any data in place and deliver insights in real time. Legacy infrastructure is holding organizations back To remain competitive and build experiences that retain customers, financial institutions need to master their data estate. Specifically, they need to free themselves from the rigid data architectures associated with legacy mainframes and monolithic enterprise banking applications. Only then can developers build high-quality customer-facing applications rather than maintain legacy systems. High costs and data complexity are the top challenges driving organizations to modernize legacy workloads and unlock business agility. According to 57% of IT decision-makers questioned, legacy technology is too expensive and does not fulfill the requirements of modern applications. This correlates with 79% of respondents seeking a data platform that will address multiple workloads — ranging from transactional to analytical — as data continues to expand. What is the impact? Financial organizations use next-generation data platforms to replace legacy technologies that fragment and duplicate data and cause internal silos. This change also addresses key needs like reducing costs, lowering complexity, better onboarding for customers, and meeting security requirements. Once in place, a next-generation data platform provides several advantages, including minimizing data inconsistencies (43%), expanding geographical coverage (42%), freeing up resources (40%), and reducing time-to-market for new ideas (37%). Other advantages include eliminating the impact of database downtime for upgrades, migrations, and schema changes. And, additional benefits can be seen within the customer and employee experience, as they engage with and access information. Based on these benefits, financial services organizations are looking to increase investment in next-generation data platforms by an average of one million dollars or more in the next one to three years. The volume and variety of data that financial services companies must deal with will only increase in the coming years. As such, figuring out how to leverage, protect, and innovate around that data will put organizations in good stead moving forward. A next-generation data platform can be the key to making this happen. About the study MongoDB commissioned Forrester Consulting to conduct a study questioning global IT decision makers at financial services and fintech organizations to evaluate the impact they are experiencing when adopting next-generation data platforms. The study evaluates the benefits, challenges, and barriers of adoption that decision makers are experiencing, as well as the outcomes after adoption. To create this study, Forrester Consulting supplemented this research with custom survey questions asked of database/data platform strategy decision-makers in finserv (73%) or fintech (27%) from North America (22%), Europe (39%), and APAC (39%). The organizations questioned had 1,000+ employees. The custom survey began and was completed in September 2022. Download the full study — What’s Driving Next-Generation Data Platform Adoption in Financial Services — to learn about organizations’ needs and plans for using next-generation data platforms.

December 13, 2022

MongoDB Donates Laptops to Metropolitan School - Frankfurt

MongoDB has teamed up with one of its customers, Cyntegrity , to provide 20 MacBook Air laptops to the Metropolitan School - Frankfurt (MSF). This step is part of an initiative to support the school’s students, including Ukrainian refugees who are studying there after leaving their home country due to instability created by war . Cyntegrity is a German-based, risk-based quality management software company as well as a customer of MongoDB. Cyntegrity has a strong focus on education, and Artem Andrianov , the company’s CEO, has been a vehement supporter of those affected by the Russian invasion of Ukraine since the conflicts began in February 2022. Support for Ukraine Andrianov has positioned Cyntegrity to support displaced Ukrainians as well as those who actively work to aid in conflict zones. At the start of the conflict, Cyntegrity outlined their initial plan of support, including: Hiring Ukrainian software developers, IT specialists, and software testers who have arrived in the European Union. Making regular donations to Doctors Without Borders, which regularly treats victims in conflict zones. Offering relocation packages to all employees affected by the conflict. Developing The Butterfly Challenge , a program aimed at collaborating to make a difference and add value to the world around us all. Knowing that Andrianov and Cyntegrity are always looking for ways to help displaced Ukrainian people, MongoDB employees Kevin Litwiak, Ladi Olusola, and Dayana Nikolova worked to procure the laptops and get them into the hands of people who could use them as learning tools. Laptops for learning Through collaboration with leadership at the MongoDB New York City headquarters, 20 laptops were collected and then distributed to MSF with the help of Andrianov, who worked behind the scenes to find an institution that would be able to use the laptops to support refugee aid efforts. The laptops, pre-loaded with MongoDB, arrived at MSF with an aim to provide all students, including refugee-status students, with the technology they need to learn and to stay connected with family and friends as they enter a new life in Europe. “This donation has been fabulous in improving our secondary school IT equipment,” said Tatyana Bogushevitch, head of marketing at Metropolitan School Frankfurt. “The laptops support the learning of all Secondary School students, including all our Ukrainian students. This donation is positively impacting the education of 350 students.” Other ways to help Ukrainian refugees Even as headlines focus on other topics, Ukrainian people are still being displaced and attempting to flee conflict for a stable life in other countries. The United Nations has reported that there are currently 5.2 million Ukrainian refugees who have fled their country and still need help. Here are ways to support Ukrainian refugees across the globe: Consider housing a refugee. Currently, most Ukrainian refugees have relocated largely to Poland, Germany, Romania, Moldova, Hungary, and Slovakia. You can register your interest in housing refugees by visiting Homes for Ukraine . You can find opportunities to volunteer in local Ukrainian efforts by visiting Refugee Council USA . You can donate to a variety of nonprofits working to support refugees as they migrate and after they settle. Visit the Save Ukraine website to learn more. About Metropolitan School - Frankfurt Metropolitan School - Frankfurt is an IB World School with a clear international profile offering an outstanding, inspirational education. Students are inspired to become well-rounded, independent thinkers equipped with the skills, knowledge, and understanding to master the challenges of the future. Metropolitan School - Frankfurt has developed multiple initiatives to support Ukrainians as they are welcomed in Germany. Through its school kitchen — in cooperation with Werksküchen Catering and the volunteer time of teachers — it provides daily food supplies for up to 200 refugees per day, including snacks, fruit, and a hot meal for the arrivals after their long journey. The school also provides some daily necessities for refugees. If you would like to assist in these efforts by the school, you can: Donate personal products and daily necessities from this list of needed items . Visit Global Citizen for a list of various ways you can take action to show support for Ukraine. Donate to MSF to support their meal program or reach out to the institution for more details. About Cyntegrity Cyntegrity has created a fully automated, centralized risk management cloud platform for improving patient safety, data integrity, and clinical trial transparency. Its vision is based on three main pillars: Control of risks, performance, and data quality Application of the latest data mining technologies to gain new knowledge about the data Follow up on the identified risks until resolution and development of a risk-based strategy for a focused use of resources are available for a trial Cyntegrity’s intelligent RBQM solution has evolved in progressive ways over time and opened the opportunity for BioPharma to optimize the clinical trial operations with the GCP-driven workflow, predictive analytics, and intelligence of the specialized algorithms. About MongoDB MongoDB helps companies get their ideas to market faster with a developer data platform built on the leading modern database. Support transactional, search, analytics, and mobile use cases while using a common query interface and the data model developers love. Headquartered in New York, with offices across North America, Europe, and Asia-Pacific, and a workforce that is now mostly remote, we are close to where you do business. MongoDB has more than 37,000 customers in more than 100 countries. The MongoDB database platform has been downloaded over 300 million times and there have been more than 1.5 million MongoDB University registrations. You can try MongoDB Atlas for free by registering today . MongoDB is also working to help support the people of Ukraine during this time. For those in Ukraine, MongoDB is offering free Atlas credits to a project called Unterkunft Ukraine , which helps refugees fleeing Ukraine find temporary housing. The company is also making MongoDB Atlas credits available for organizations that are developing software projects to help alleviate the current humanitarian crisis in Ukraine. If you are working on a project that provides assistance in the region, fill out the application to apply for free MongoDB Atlas credits.

December 8, 2022

MongoDB Named as a Leader in The Forrester Wave™: Translytical Data Platforms, Q4 2022

In The Forrester Wave™: Translytical Data Platforms, Q4 2022, translytical data platforms are described by Forrester as being “designed to support transactional, operational, and analytical workloads without sacrificing data integrity, performance, and analytics scale.” Characterized as next-generation data platforms, the Forrester report further notes that “Adoption of these platforms continues to grow strongly to support new and emerging business cases, including real-time integrated insights, scalable microservices, machine learning (ML), streaming analytics, and extreme transaction processing.” To help users understand this emerging technology landscape, Forrester published its previous Translytical Data Platforms Wave back in 2019. Three years on, Forrester has named MongoDB as a Leader in its latest Translytical Data Platforms Wave. We believe MongoDB was named a Leader in this report due to the R&D investments made in further building out capabilities in MongoDB Atlas , our multi-cloud developer data platform. These investments were driven by the demands of the developer communities we work with day-in, day-out. You told us how you struggle to bring together all of the data infrastructure needed to power modern digital experiences – from transactional databases to analytics processing, full-text search, and streaming. This is exactly what our developer data platform offers. It provides an elegant, integrated, and fully-managed data architecture accessed via a unified set of APIs. With MongoDB Atlas, developers are more productive, they ship code faster and improve it more frequently. Translytics and the Rise of Application-Driven Analytics Translytics is part of an important shift that we at MongoDB call application-driven analytics . By building smarter apps and increasing the speed of business insights, application-driven analytics gives you the opportunity to out-innovate your competitors and improve efficiency. To do this you can no longer rely only on copying data out of operational systems into separate analytics stores. Moving data takes time and creates too much separation between application events and actions. Instead, analytics processing has to be “shifted left” to the source of your data – to the applications themselves. This is the shift MongoDB calls application-driven analytics . It’s a shift that impacts both the skills and the technologies developers and analytics teams use every day. This is why understanding the technology landscape is so important. Overall, MongoDB is good for customers that are driving their strategy around developers who are tasked with building analytics into their applications. The Forrester Wave™: Translytical Data Platforms, Q4 2022 Evaluating the top vendors in the Translytic Data Platforms Wave Forrester evaluated 15 of the most significant translytical data platform vendors against 26 criteria. These criteria span current offering and strategy through to market presence. Forrester gave MongoDB the highest possible scores across eleven criteria, including: Number of customers Performance Scalability Dev Tools/API Multi-model Streaming Cloud / On-prem / distributed architecture Commercial model The report cites that “MongoDB ramps up its translytical offering aggressively”, and that “Organizations use MongoDB to support real-time analytics, systems of insight, customer 360, internet of things (IoT), and mobile applications.” Access your complimentary copy of the report here . Customer Momentum Many development teams start out using MongoDB as an operational database for both new cloud-native services as well as modernized legacy apps. More and more of these teams are now improving customer experience and speeding business insight by adopting application-driven analytics. Examples include: Bosch for predictive maintenance using IoT sensor data. Keller Williams for relevance-based property search and sales dashboarding. Iron Mountain for AI-based information discovery and intelligence. Volvo Connect for fleet management. Getting started on your Translytics Journey The MongoDB Atlas developer data platform is engineered to help you make the shift to Translytics and application-driven analytics – leading to smarter apps and increased business visibility. The best way to get started is to sign up for an account on MongoDB Atlas . Then create a free database cluster, load your own data or our sample data sets, and explore what’s possible within the platform. The MongoDB Developer Center hosts an array of resources including tutorials, sample code, videos, and documentation organized by programming language and product. Whether you are a developer or a member of an analytics team, it's never been easier to get started enriching your transactional workloads with analytics!

November 29, 2022

MongoDB and AWS: How a decade-old collaboration got even better in 2022

Developers select MongoDB because it makes building with data for almost any class of application easy and fast for them. They select Amazon Web Services (AWS) because it offers a comprehensive and broadly adopted cloud platform, offering more than 200 fully featured services. Bringing together MongoDB Atlas on AWS helps developers build and ship higher quality applications faster and scale them further. MongoDB has collaborated with AWS for close to a decade now, but 2022 has seen dramatic growth in both the quantity and quality of our joint activities, resulting in a strategic collaboration agreement announced earlier this year. Our collaboration spans joint product engineering and integration so MongoDB Atlas is a first-party service on AWS, and also extends to making it easy for customers to procure MongoDB Atlas on AWS. In 2022, we have worked more closely together than ever before. In this post, we'll cover what we've achieved, and how our customers benefit. If at any point you want to stop reading about the partnership and experience it in action, we invite you to get started for free with MongoDB's fully managed, pay-as-you-go listing on the AWS Marketplace . Delivering an outstanding customer experience Since re:Invent 2021, MongoDB and AWS have jointly seen an explosion in customer success, with MongoDB for Startups becoming one of the most widely used offerings in the AWS Activate program after we launched in July. And, since launching in the AWS Marketplace with pay-as-you-go pricing in December 2021, MongoDB Atlas has become one of the most popular self-service listings, with well over 1,000 customers. More broadly, we've seen our AWS Marketplace business show triple-digit growth through significant, mutual investments across engineering, sales, and marketing. We've also found great success working with AWS' Workload Migration and Proof of Concept programs, helping many new customers accelerate their migration to MongoDB Atlas on AWS over the past 12 months. Additionally, while MongoDB works closely with AWS across the globe, we devoted increased attention to Europe this past year, resulting in a considerable increase in customer adoption. As a result, AWS named us their AWS Marketplace Partner of the Year - EMEA in November 2022. One way that we've helped to accelerate such customer success is by making it easier to procure MongoDB Atlas on AWS. Over the past year, MongoDB and AWS have significantly simplified the purchasing experience for customers. We did this across a few key areas. One thing customers love about buying through AWS Marketplace is how seamless it makes the purchasing experience. However, historically this has been slowed somewhat for MongoDB customers by the need to agree to separate legal terms. Starting in November 2022, however, all Atlas on AWS customers purchasing through the AWS Marketplace Self Service listing use AWS Marketplace’s Standard Contract for Marketplace (SCMP) terms and conditions rather than MongoDB Cloud Terms of Service, thereby further reducing friction to getting productive, faster, with MongoDB. In 2022, we also helped customers buy MongoDB with confidence through AWS Marketplace Vendor Insights . AWS Vendor Insights "simplif[ies] third-party software risk assessments by compiling security and compliance information in a unified dashboard." It's an important way we're working together to increase customer confidence, ensuring they can buy MongoDB in AWS Marketplace with security and control. Close product collaboration Behind these improvements to our joint purchasing experience were significant improvements to how MongoDB Atlas integrates with key AWS services. MongoDB has long worked seamlessly with core AWS services such as Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3), and more recently has collaborated with AWS to ensure tight integration with AWS container services like Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Elastic Container Service (Amazon ECS), AWS serverless technologies like AWS Lambda, Amazon Eventbridge, and AWS Fargate; and edge computing services like AWS Wavelength . Over the past year, however, we've delved more deeply into AWS machine learning services (Amazon Comprehend, Amazon Kendra, Amazon Lex, etc.), AWS AppSync, Amazon Forecast, AWS Elastic Beanstalk, and more. In addition to direct integrations with AWS services, we made it simpler for customers to use MongoDB with important joint partners such as Datadog, Databricks, and Confluent. For Datadog, we improved MongoDB Atlas App Service to support forwarding logs on AWS to Datadog, thereby improving observability through real-time log analytics. With Databricks, we announced MongoDB as a data source within a Databricks notebook, thereby offering data practitioners an easier, more curated experience for connecting Databricks to MongoDB Atlas data. And with Confluent, we strengthened our integrations to help developers easily build robust, reactive data pipelines that stream events between applications and services in real time. Through innovations to the purchasing process and the product experience, we've helped make thousands of customers successful running MongoDB on AWS. Some joint customers, like Unqork , are upending entire industries with innovative approaches to technology and business. Others, like Volvo's Connected Solutions business , rely on MongoDB and AWS to scale their fleet management solution from tens of millions to billions of daily events. Other recent customers include Verizon , Marsello , GLS , and Shopline . Get started with MongoDB Atlas on AWS You needn't take our word for it, however. With just a few clicks — and no risk — you can get started for free with MongoDB Atlas on AWS . There's no upfront commitment, and if you choose to continue to build with MongoDB on AWS, you only pay for what you use.

November 28, 2022

10 years of MongoDB customers at AWS re:Invent

MongoDB has attended AWS re:Invent since its inception in 2012. A key reason for this is, of course, to help strengthen our partnership with AWS, which really began in 2015 and significantly expanded in March 2022 with a global, strategic collaboration agreement. But an even more fundamental reason for MongoDB's continued presence at AWS re:Invent over the years is the opportunity to engage with our many joint customers. Several MongoDB customers have been featured in re:Invent keynotes over the years. In fact, looking back at the customers AWS chose to feature in its keynotes, it's hard to find examples that are not MongoDB customers. Earlier this year, AWS celebrated 10 years of re:Invent by showcasing an equal number of "memorable customer moments" from the re:Invent mainstage. It was a great way to reaffirm AWS Leadership Principle #1 (Customer Obsession). It was also a great way to shine a light on the great things MongoDB's customers are doing. Rather than rewind on the many MongoDB customers spotlighted at re:Invent, let's look at those AWS called "most memorable" in its blog. All in on cloud Back in 2015, Capital One CIO Rob Alexander took to the re:Invent stage to discuss Capital One's "all in" approach to cloud. "We’re either using or experimenting with nearly every AWS service," Alexander said. What he didn't say, but which the company has been quite public about over the years, was how Capital One uses MongoDB in tandem with AWS services. A few months after Alexander's re:Invent comments, Capital One's Oron Gill Haus spoke at MongoDB World on Hygieia , the company's open source DevOps dashboard. Hygieia, built on MongoDB, provides the foundation for the company's attempts to reimagine banking. Haus detailed why MongoDB is so critical to Capital One's need to innovate quickly on customers' behalf, stressing how the variety and velocity of data makes MongoDB an ideal solution: We get data in from all different kinds of sources and formats, and we get it at different times. Now, what we have to do is predict the future and how you're planning on using the data. That's where traditional databases fall down. That's where you'll see MongoDB. We want to have the ability to find insights and be able to react quickly to those insights. Years later, Capital One advertises hundreds of jobs for those with MongoDB experience. (Hint: You may need to know how to roll back a MongoDB query for some of those jobs.) Capital One is doing impressive work with MongoDB, but it's not alone in its use of MongoDB for financial services. Goldman Sachs, Citi, Barclays, BBVA, Charles Schwab, FICO, HSBC, and Intuit are just a few MongoDB customers that have spoken publicly of how and why they use MongoDB. And, yes, some of these companies you may remember from the re:Invent main stage over the years. MongoDB to the Moon! Years before NASA Jet Propulsion Laboratory (JPL) took to the re:Invent stage (2016), the U.S. public agency was running MongoDB throughout NASA . By 2018, MongoDB was involved in the hugely interesting NASA Deep Space Network (DSN), a primary resource for communications and navigation for NASA's and partner agencies' interplanetary space missions. NASA had recently upgraded its decades-old infrastructure to base its modern Loading Analysis and Planning Software (LAPS) on Linux and MongoDB. LAPS, as a scientific paper details , "is responsible for long-term planning and forecasting, including studies and analysis of new missions, changed mission requirements, downtime, and new or changed antenna capabilities." Around the same time, and a key part of DSN operations, NASA was also looking for ways to improve the efficiency of operating antennas across the globe. The heart of this initiative was NASA's Link Complexity and Maintenance software (LCM), which stores all pertinent data in MongoDB. Hence, while it might not be accurate to say that MongoDB runs on the Moon, it would be true to say MongoDB helps NASA manage space missions to the Moon—and beyond. Can you hear me now? "[I]t’s just a massive moment for us at Verizon,” declared Hans Vestberg, chairman and CEO of Verizon, at re:Invent in 2019. He was talking about the company's partnership with AWS to deliver 5G network edge computing using AWS Wavelength. What wasn't said in the keynote, but that Robert Belson, Principal Engineer, Corporate Strategy, Verizon, explained , is that the vision was incomplete without MongoDB. “Verizon 5G Edge is a mobile edge computing platform, which embeds popular hyperscaler compute and storage, such as AWS Wavelength, at the edge of our 4G and 5G networks so application builders can extend existing workloads using the same popular services they know and love," he explained. “However, certain services, such as databases, are not natively supported, which is where [MongoDB] Atlas and Realm come into play by creating unprecedented flexibility for the developer and the end customer.” As we've described, Verizon decided that a comprehensive data platform was needed to make its 5G edge computing dream a reality. So Verizon integrated Atlas Functions with the Verizon edge discovery service to help direct 5G mobile clients to the topologically closest database instance across a customer’s edge deployment. In tandem, Verizon has overlaid a data persistence layer using MongoDB Realm, thereby enabling personalized experiences to extend to the network edge. Verizon is also using Atlas Device Sync and Realm to ensure the seamless synchronization of data between devices, the cloud and edge-of-network, online and offline. Customers love MongoDB + AWS Beginning to see a pattern here? While not every customer highlighted by AWS at re:Invent is a MongoDB customer, many are, including the few for which we've been able to provide some detail. Others include Epic Games, which runs its wildly popular game Fortnite on MongoDB ; or Volkswagen, which uses MongoDB throughout its web applications and in its Car Net service ; or Siemens, which runs MongoDB at the heart of its Monet system to provide monitoring, controlling, and remote management of field devices for advanced energy management services. This year while watching the various customers take the stage in re:Invent keynotes, keep in mind that they're also very likely a MongoDB customer, because customers that seek the agility and performance of AWS also tend to like how MongoDB's flexible data model enables them to do much more with their data. Interested in learning more? The best way might be to try fully managed MongoDB Atlas for free. You can get started now .

November 28, 2022

Introducing the Next Generation of MongoDB Education

MongoDB University has always offered developers free, self-paced, on-demand ways to learn MongoDB and advance their careers. Now MongoDB has launched an enhanced University experience, with a rollout of new courses and features, and a seamless path to MongoDB certification to help take your skills and career to the next level. “MongoDB has always been a developer-first company. But it’s one thing to say that and support the current generation of developers and MongoDB users, it’s another to play a larger role in molding the developers of the future,” says Mark Porter, Chief Technology Officer, MongoDB. “Developers have gone from being a curiosity when I began my career to becoming a boardroom priority. If software and applications are the currency of the modern day economy, development teams are the market makers, and we want to support them on this journey.” Announced at our annual .local London developer conference, the new learning experience makes it easy to quickly pick up knowledge, develop a fundamental MongoDB skillset, and get certified. Beginning November 15, you can discover: New courses that make it easy to learn how to use MongoDB in the context of your preferred programming language, including Python, C#, Java, and Node.JS New discounts and incentives to support your growth. Now, any time you complete a new developer learning path , you will receive a 50% discount on the Associate Developer certification exam fee. And as always, all course content is free. Easier accessibility to course videos - registration is no longer required! Those who do register gain access to hands-on labs, quizzes, and certifications, as well as the ability to track their progress. Language Subtitles for all new courses . Chinese (Traditional and Simplified), Korean, Spanish, French, and Portuguese subtitles are now available. Short form content on newer features . Try our new “Learning Bytes” to build knowledge on MongoDB in 20 minutes or less. An enhanced certification experience with 24/7 exam access and robust study materials, including videos, study guides, and practice questions. Additionally, MongoDB University now offers course certificates and digital certification badges through Credly that strengthen your professional profiles on LinkedIn, and can be shared across Twitter and Facebook. Adding these badges will enhance your opportunities for roles that require MongoDB experience and enter you into the Credly talent pool, making you visible to recruiters and hiring managers looking for specific certifications. Updated labs that provide guided, hands-on activities that allow you to practice what you’ve learned and see real-time results of your work. Getting started with MongoDB University Badges Previous certifications continue to be valid and will now include digital badges, so be on the lookout for an email from our badging partner, Credly. You can then accept your MongoDB Certified badge and share it on LinkedIn, Twitter, and Facebook. When you accept, you will also be included in the Credly Talent Directory , which enables recruiters, hiring managers, and others to connect with you about opportunities based on the specific digital credentials you’ve earned. In-progress learning If you currently have in-progress courses with MongoDB University, those courses must be completed by December 1st in order to have your certificate transfer to the new University experience. If you don’t complete a course by the deadline, that course will still be available in the new University, but your progress will not be transferred. Ready to explore all the new possibilities? Get started with the next generation of MongoDB University today. Start learning today !

November 15, 2022

MongoDB Supports Cutting-Edge Startups with NVIDIA Inception

We are excited to announce that MongoDB for Startups is collaborating with NVIDIA Inception to power cutting-edge startups in AI, autonomous driving, gaming, robotics, healthcare, and more. Here, we answer frequently asked questions to provide a brief overview of the initiative. Why should a startup build its MVP with MongoDB for Startups and NVIDIA Inception? If you are a founder looking to build innovative technologies in AI, data science, gaming, and other breakthrough industries, then you’ll want to leverage MongoDB for Startups (a program that helps startups build faster and scale further with free MongoDB Atlas credits, one-on-one technical advice, co-marketing opportunities, and access to our partner network) and NVIDIA Inception (a free global program designed to nurture cutting-edge startups) for your MVP. Together with MongoDB and NVIDIA Inception, founders can leverage the most intuitive and flexible way to work with data so they can adapt quickly to the changing needs of a growing business. Utilizing MongoDB Atlas , a fully managed multi-cloud developer data platform, startups can scale rapidly while enjoying the freedom to run anywhere with the best cloud environments. NVIDIA Inception members get a custom set of ongoing benefits, such as NVIDIA Deep Learning Institute credits, marketing support, and technology assistance, which provides startups with the fundamental tools to help them grow. What is the MongoDB for Startups program? MongoDB for Startups is focused on creating a valuable technical startup program that enables the success of high-growth startups from ideation to IPO. We designed this program to give startups access to the best technical database for their rapidly scaling ventures. Apply to our program and you will receive: $500 in credits for all MongoDB cloud products (valid for 12 months) A dedicated technical advisor for a two-hour, one-on-one consultation to help you with your data migration and optimization Co-marketing opportunities Access to the MongoDB developer ecosystem and access to our VC partners What is the NVIDIA Inception Program? NVIDIA Inception helps startups in all industries accelerate growth and build their products faster. With more than 10,000 startup members, the program is free and available for tech startups in all stages. Inception members can receive: Up to $100K in AWS cloud credits Technical training and engineering guidance Product discounts Co-marketing and co-selling Customer introductions and VC exposure Apply to NVIDIA Inception and the MongoDB for Startups Program today.

October 21, 2022

Introducing Pay-As-You-Go MongoDB Atlas on Azure Marketplace

MongoDB was an official sponsor at the recent two-day, jam-packed 2022 Microsoft Ignite event. The centralized theme was “How to empower the customer to do more with less” in the Microsoft Cloud. The interactive conference created a meeting space for professionals to connect in-person with subject matter experts to discuss current and future points of digital transformation, attend workshops, learn key announcements, and discover innovative new offerings. Microsoft officially announced MongoDB to be part of a set of companies that make up the new Microsoft Intelligent Data Platform Partner Ecosystem and we are pleased to highlight our expanded alliance. Our partnership provides a frictionless process for developers to access MongoDB Atlas , the leading multi-cloud developer data platform available on the Microsoft Azure Marketplace . By procuring Atlas through the Azure Marketplace, customers can access a streamlined procurement and billing experience and use their Azure accounts to pay for their Atlas usage. MongoDB is also offering a free trial of the Atlas database through the Azure Marketplace. With the new Pay-As-You-Go Atlas listing on the Azure Marketplace, you only pay for the Atlas resources you use, with no upfront commitment required. You will receive just one monthly invoice on your Azure account that includes your Atlas usage, and you can apply existing Azure committed spend to it. Read the Azure Marketplace documentation to learn how to take advantage of the Microsoft Azure consumption commitment (MACC) and Azure commit to consume (CtC). You can even start free with an M0 Atlas cluster and scale up as needed. A free Atlas cluster comes with 512 MB of storage, out-of-the-box security features, and a basic support plan. If you’d like to upgrade your support plan, you can select one in Atlas and the additional cost will also be billed through Azure. MongoDB offers several support subscriptions with varying SLAs and levels of technical support. Whether you’re a new or existing Atlas customer, you can subscribe to Atlas directly from the Azure Marketplace. After you subscribe, you’ll be prompted to log in or create a new Atlas account. You can then deploy a new Atlas cluster or link your existing cluster(s) to your Azure account. Atlas customers can take advantage of best-in-class database features including: Production-grade security features, such as always-on authentication, network isolation, end-to-end encryption, and role-based access controls to keep your data protected. Global, high availability. Clusters are fault-tolerant and self-healing by default. Deploy across multiple regions for even better guarantees and low-latency local reads. Support for any class of workload. Build full-text search, run real-time analytics, share visualizations, and sync to the edge with fully integrated and native Atlas data services that require no manual data replication or additional infrastructure. New integrations that empower builders, developers, and digital natives to unlock the power of MongoDB Atlas when running on Azure—including PowerApps, PowerAutomate, PowerBI, Synapse, and Purview—to seamlessly add Atlas to existing architectures. With MongoDB Atlas on Microsoft Azure, developers receive access to the most comprehensive, secure, scalable, and cloud–based developer data platform in the market. Now, with the availability of Atlas on the Azure Marketplace, it’s never been easier for users to start building with Atlas while streamlining procurement and billing processes. Get started today through the Atlas on Azure Marketplace listing.

October 19, 2022

MongoDB and Google Partnership Gains Momentum

In April 2022 MongoDB launched a pay-as-you-go Atlas service on Google Cloud Marketplace. As we said at the time, this offering provides developers with a simplified subscription experience and gives enterprises more freedom in how they run MongoDB on Google Cloud. Since that launch, we've had many hundreds of customers sign up from a wide range of industries including Retail, Automotive, Education, Media & Entertainment, Healthcare, and more. But that's not all that happened in the past six months. Developers clearly love to build data-rich applications with MongoDB Atlas, and just as clearly they love to bring that data to life through Google Cloud's data services like Google BigQuery, Vertex AI, and more. To indulge that developer affection for MongoDB + Google Cloud, the two companies have been busy integrating our managed services to help customers make data smarter, more intuitive, and easier to use—wherever developers choose. Making data smart Modern applications must be able to automate the process of capturing and processing the data within an application. Combining real-time, operational, and embedded analytics enables a business to influence and automate decision-making for the app and provide real-time insights for the user. This year MongoDB and Google Cloud have combined to deliver best-in-class, application-level analytics. For example, in the weeks leading up to Google Cloud Next ’22, Google Cloud and MongoDB announced integration of Google BigQuery and MongoDB Atlas, among other Google data announcements . Many enterprises turn to BigQuery for its powerful, simple approach to data warehousing needs, but applying it to data in MongoDB wasn't always straightforward. To make moving and transforming data between Atlas and BigQuery easier, the MongoDB and Google teams worked together to build Dataflow templates that make it simple to package a Dataflow pipeline for deployment. The two companies also announced the integration of Atlas and BigQuery with Vertex AI to bring the power of Google's machine learning/AI expertise to MongoDB data. Developers can access a reference architecture and demo for retail and finance fraud detection scenarios. More integrations will roll out over the coming months. All of which is great for customers. For years customers like Universe, part of Live Nation, have used MongoDB with Google Cloud services such as Cloud Pub/Sub, Cloud Dataflow, and BigQuery to build data pipelines and more. In early 2022, Forbes, a 100-year old leader in business journalism, turned to MongoDB and Google Cloud to deliver a recommendation engine for its journalists, which uses Google Cloud's machine learning services to make suggestions to appropriate contributors. These and other customers have discovered that MongoDB's data platform and Google's data services are truly better together. Making data intuitive All those data smarts don't amount to much if developers can't easily make use of them. Over the past six months, MongoDB and Google Cloud have further partnered to ensure a simple, intuitive developer experience. For example, we've made it incredibly easy to deploy a serverless, MEAN stack (MongoDB, ExpressJS, AngularJS, NodeJS) application with Google Cloud Run (you can read the how-to or watch a video tutorial). Similarly, we've also combined with Vercel to make it simple to build full-stack serverless apps. Serverless means you don't need to worry about any hassle associated with managing infrastructure, and Cloud Run means deployment is also a breeze. More collaboration like this will follow, all with the goal of reducing developer friction and making it easier to use stacks that combine Google and MongoDB products together. Additionally, we've made it straightforward for developers to extend their MongoDB applications with APIs using Google's Apigee, a platform for managing and securing their APIs. For example, developers increasingly turn to Apigee and MongoDB to help enterprises pull data from legacy systems without needing the cumbersome process of integrating legacy systems. Recently, the MongoDB connector has been released in pre-GA to help developers build their APIs with MongoDB even more quickly. Developers love these and other integrations. For example, Conrad, a leading European retailer, needed to find a way to build an online B2B marketplace for its own and third-party products. Conrad turned to Atlas and Google Cloud. Together, the companies partnered to help Conrad shift to a microservices-based architecture and delivered a simple, fast, and comprehensive data environment. In like manner, TIM, a global fixed, mobile, cloud, and data center service provider, has leaned on Atlas and Google Cloud to create a dynamic data infrastructure, which has led to a dramatic improvement in customer satisfaction scores. Making data omnipresent MongoDB has always put a premium on developer flexibility, which has not only meant unparalleled support for a wide variety of languages, frameworks, etc., but also flexibility in deployment, including multicloud. Google, for its part, has been a leader in multicloud with Anthos, a platform that enables enterprises to manage GKE clusters and workloads running on virtual machines across environments. It's a way for developers to build once and deploy anywhere, including at the edge, in the data center, or on another cloud, yet with a single cloud control plane. Very cool. Among other benefits, this is a great way for enterprises to meet regulatory and data sovereignty requirements. It is not, however, the only way enterprises can attain that benefit with MongoDB and Google Cloud. As recently announced, MongoDB and Google Cloud have collaborated to give European customers additional choice in where they can securely keep their data, by making MongoDB available on the T-Systems Sovereign Cloud powered by Google Cloud. Finally, MongoDB and Google Cloud have announced the availability of MongoDB Enterprise Advanced on Google Cloud Marketplace. As much as developers love cloud, sometimes they have the need to self-manage MongoDB. With this listing we together offer that freedom. Now is the time to give it a try MongoDB and Google keep giving developers increasingly rich ways to make use of data with operational, application-centered analytics and ML/AI, while also serving up a wide array of choices of where to run those applications. There are many reasons to run MongoDB Atlas on Google Cloud, and one of the easiest is with our self-service, pay-as-you-go listing on Google Cloud Marketplace . Please give it a try and let us know what you think. Try our self-service, pay-as-you-go listing on Google Cloud Marketplace today.

October 11, 2022

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