News at MongoDB
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MongoDB Goes (Leafy) Green: Our Net Zero Commitment
At MongoDB, we have a deep commitment to sustainability and taking ownership of our environmental impact. In 2021, we internally announced our pledge to have net zero emissions (CO 2 e) by 2030, and have since benchmarked our emissions and have worked on developing a strategy to achieve this goal. Through this process, we discovered that over our last fiscal year we produced the same amount of carbon as driving a gas-powered vehicle around the globe more than 6,000 times. This amount may seem high because we calculated not only our Scope 1 (direct; e.g., offices) and Scope 2 (indirect; e.g., purchased electricity) emissions as is standard under current reporting requirements, but also our Scope 3 emissions (indirect; e.g., supply/value chain). These Scope 3 emissions account for ~97.5% of our total footprint. We have chosen to disclose this full amount because we are committed to reducing our entire carbon footprint as much as possible and want to be transparent on this journey. While 2030 may seem far away, we are committed to reducing emissions and already have taken immediate action. Last year, we invested in hiring a Sustainability Manager to help us tackle how we are going to achieve our goals and engage teams across the company to develop carbon reduction strategies. This included adding an interim target to be 100% powered by renewables by 2026. We can’t do this alone. A large part of our indirect emissions is from our cloud partners, so we have partnered with them to see what we can achieve for our customers together. In addition to reducing our direct footprint, we are also focused on cleaner energy sources. By 2025 our major partners—AWS, Google Cloud (GCP), and Microsoft Azure—will be 100% powered by renewables. Following their example, we have entered into our first virtual power purchase agreement to support the construction of a new 10MW solar plant in Texas and add renewable energy to the grid. This is unique for a company our size and is evidence of our commitment to sustainability. By reducing our emissions, we can help our customers reduce their own carbon impact through MongoDB and the cloud. Enabling our customers to make greener choices We have heard from our customers that sustainability is important to them and influences their purchasing decisions. We looked at our own technology and have re-engineered MongoDB Atlas to reduce power consumption by ~30%. While moving to the cloud can have a positive impact on reducing carbon emissions, the actual amount depends on various factors, including the cloud provider, the type and amount of workloads, and the location of data centers. That's why we've introduced a new level of transparency to help our customers make more sustainable choices, including our Green Leaf icon in MongoDB Atlas that highlights low-carbon AWS and GCP cloud regions and encourages customers to consider the carbon impact of their choices. Additionally, MongoDB Atlas Serverless takes this one step further. Serverless infrastructure can help customers reduce their carbon footprint by reducing their infrastructure overhead and only using computing resources only when needed rather than constantly running. This means less energy is consumed overall, and less waste is created. Additionally, with MongoDB Atlas Serverless, customers can quickly scale up or down in response to changing demand, ensuring they're not wasting resources on idle infrastructure. To drive awareness and use of our products’ sustainability features, we have released a quick reference blog and detailed white paper on sustainable architecture. Finally, to help our customers understand how these changes impact their footprint, MongoDB will now include a note on attributable carbon emissions on our customers’ invoices. Changes in our offices, operations, and beyond We are making actionable changes to gain momentum towards our larger net-zero goal within our offices. We are switching over 100% of the lights in our offices to LEDs, have eliminated many single-use items, and are reducing power consumption by regulating usage outside of peak hours– this is as simple as putting Zoom Screens on timers. Additionally, we have introduced a Supplier Code of Conduct to ensure ESG compliance throughout our value chain. Finally, we have partnered with our Green Team ERG to enable employee engagement in our sustainability goals. Our Green Team fosters employee engagement by organizing community building and educational events centered around environmentalism and act as a voice for our employees' drive for corporate sustainability. As of this year employees can donate towards a project selected by our Green Team leads focused on reforestation through points earned in our employee recognition tool. We are just getting started, and our commitment to you is to be as transparent as possible throughout this process. We encourage you to follow our progress on our Sustainability webpage and check out our latest CSR report , which dives deeper into our emissions benchmark. At MongoDB, we believe that sustainability is everyone's responsibility, and we are committed to doing our part to create a more sustainable future.
MongoDB Atlas Expands Globally with AWS
We’re proud to announce our global expansion of MongoDB Atlas on AWS (Amazon Web Services) in the Middle East, Europe, and APAC. The launch of regions in the United Arab Emirates (UAE), Zurich, Spain, Hyderabad, and Melbourne expands availability of MongoDB Atlas to 27+ AWS regions around the world. The UAE region is an AWS Recommended Region , meaning it has three Availability Zones (AZ), bringing significant infrastructure to the Middle East. When you deploy a cluster in the UAE, Atlas automatically distributes replicas to the different AZs for higher availability. If there’s an outage in one zone, the Atlas cluster will automatically fail over to keep running in the other two. And you can also deploy multi-region clusters with the same automatic failover built-in. We’re delighted that — as with customers in Bahrain, Cape Town, and more — United Arab Emirates organizations will now be able to keep data in their own country, delivering low-latency performance and ensuring confidence in data locality. UAE customers in government, financial services, and utilities in particular will benefit from this expansion. In addition to the launch in the UAE region, MongoDB Atlas is now available in Zurich and Spain, expanding to our already strong presence in the EMEA and giving our customers the ability to build and run applications with data sovereignty requirements for the region. MongoDB was awarded AWS Marketplace Partner of the Year - EMEA for 2022, and we are committed to continuing to make Atlas easily accessible across the region. Our expansion in APAC is also particularly exciting given the recent momentum of MongoDB Atlas on AWS in the region. Increased availability in India and Australia will help to secure the opportunity for APAC developers to have wider access to build with high performance. Companies like Open Government Products, Bendigo&Adelaide, Cathay Pacific, Dongwha, and Kasikorn will benefit from closer availability zones. We’re confident our developers around the world will appreciate this capability as they build tools to improve citizens’ lives and better serve their local users. Get started with MongoDB Atlas for free today on AWS Marketplace Learn more about MongoDB Atlas on AWS
Congratulations to the 2023 APAC Innovation Award Winners
I’m thrilled to announce the nine winners of the 2023 MongoDB APAC Innovation Awards . The MongoDB Innovation Awards honor projects and people who dream big. They celebrate the groundbreaking use of data to build compelling applications and the creativity of professionals expanding the limits of technology with MongoDB. This year, we have broken the awards down regionally to celebrate organizations in APAC, from startups to industry-leading enterprises, across a wide variety of industries, who are delivering big results. We are delighted to announce the winners below: 2023 MongoDB APAC Innovation Award Winners: Positive Impact Open Government Products Open Government Products (OGP) is an in-house team of engineers, designers, and product managers, who is a part of the Singapore Government, and is responsible for building technologies for the public good. OGP used MongoDB’s developer data platform, MongoDB Atlas to create its digital form builder, FormSG. Used by the Singapore government and public healthcare institutions, FormSG securely collects data from residents and businesses and helps public officers to create digital government forms in minutes. It eliminates the use of paper forms and the manual process of transcribing physical documents, which had raised concerns around data privacy and protection. During the pandemic, FormSG enabled public officers to collect more than 100,000 daily temperature declarations nationwide. Today, FormSG has served more than 120,000 public officers from 155 agencies and it has created more than 500,000 digital forms to help the government collect data on travel and health declarations by visitors to the country, applications for COVID-19 swab tests, and applications for financial assistance. Organization Transformation Bendigo and Adelaide Bank Bendigo and Adelaide Bank is one of Australia’s largest banks, with around 7,000 employees helping more than 2.2 million customers achieve their financial goals. The bank has been on a multi-year journey of transformation using MongoDB's developer data platform to improve efficiency and deliver a better customer experience as they fulfill their vision to become Australia’s bank of choice. Recently, the cloud team launched Ready-Set-MongoDB (or RSM). This event-driven framework allows developers to streamline the consumption of internal or external APIs, and applies data transformations and storage automatically within a MongoDB collection of their choice. Using MongoDB Atlas Search, the bank also enabled developers to gain insights across its multi-cloud deployments, identifying cost savings, and providing inventory information to account owners and technical stakeholders. Within the first 18 months of launching these programmes, the automation had saved the organization more than 1,100 developers days. It also helped reduce human involvement, removed stale data, and allowed engineers to focus on the things that matter. The development of Ready-Set-MongoDB is ongoing and improving, as new Bendigo multi-cloud challenges arise and new MongoDB products are released. The application is a perfect representation of how Bendigo's Technology Department is using modern technology, rapid development, and innovation-led problem solving to drive organizational transformation. Heroes in Health Redcliffe Lifetech Private Limited Over the last few years, Redcliffe Labs has become India's fastest growing technology-driven diagnostics service provider. Redcliffe Labs is on a mission to serve 500 Million Indians by 2030 with fusion of technology and world- class laboratories. The company already serves thousands of people daily, with more than 73 labs and close to 1500 walk-in centers across 180 cities. Redcliffe Labs has relied on MongoDB Atlas’ flexible document model to power its innovative Smart Health Report, a patient resource that provides a number of indicators and trackers to gauge holistic health. The MongoDB developer data platform's best in class security, compliance, and privacy controls allows Redcliffe's team to confidently handle even the most sensitive patient data. MongoDB Atlas takes care of many of the traditional database management challenges, which means that developers can spend their time building diagnostics for patients, rather than managing databases. Redcliffe Labs is focusing on incorporating next-generation technologies in the diagnostics space with an AI platform that will make Interactive Diagnostics reports, Advanced Health Profiling and more detailed Diagnostics and Health Alerts. Industry Disruptor Cathay Pacific Cathay Pacific , Hong Kong’s home carrier operating in more than 60 destinations worldwide, has been on an impressive journey to become one of the very first airlines to create a truly paperless flight deck. Until recently, a flight from Hong Kong to New York would require a crew to review more than 150 pages of finely printed text and charts before their flight and make ongoing updates throughout the trip. In 2019, Cathay Pacific conducted the first zero paper flight, removing 50kg of manuals, charts, maps, and flight briefing paperwork. They achieved this enormous feat with the help of one seamless and highly customized iPad application: Flight Folder. Built on MongoDB Atlas, Flight Folder is designed to improve the pilot briefing experience. MongoDB helped consolidate dozens of different information sources into one place, and made it possible for flight crews to easily share their experiences with others. It also included a digital refueling feature that helps crews become much more efficient with fueling strategies – saving significant flight time and costs. The use of MongoDB Device Sync enables seamless syncing and no data loss even when the app goes on- and offline mid-flight. Since the Flight Folder launch, Cathay Pacific has completed more than 340,000 flights with full digital integration in the flight deck. In addition to the greatly improved flight crew experience, flight times have been reduced, and digital refueling saves eight minutes of ground time on average. All these efficiencies have helped the company avoid the release of 15,000 tons of carbon. From Batch to Real-Time Adani Digital Labs Adani Digital Labs is the India-based digital innovation arm of the larger Adani group. The lab’s team's mission is to create one single platform – a SuperApp called AdaniOne – to empower a billion stories in India. To address several use cases and the huge scale that will be required by the superapp, the Adani Digital team selected MongoDB Atlas as its the main transactional database that will further enhance the application. A key component of the app is how it can bring together disparate data in order to provide a single view of activity across the application. In the first process, developers had taken out the data in batches and sent it to their database However, this was too slow and unpredictable as far as business requirements are concerned. Also, the consolidated view of customer history, orders, inventory, and supply chain network updates was likely to impact their customer's ability to generate revenue. Therefore, in order to find a better solution, Adani Digital Labs built a more modern architecture in line with MongoDB. Using MongoDB's Change Streams and the data platform's native Kafka connector, they created an event-based architecture that pushes the data out in real-time for analysis. Adani Digital Labs is still in the early phases of the SuperApp's rollout and collaborating with MongoDB as its developer data platform continues to help the firm to grow and deliver insights in real time. Industry 4.0 Dongwha Founded in 1948, the Dongwha Group has evolved from a singular focus on the wood and timber industry into a global leader across a number of sectors including building materials, chemicals and media. As part of its wider digital transformation strategy, Dongwha required smarter factories that would improve and optimize their production efficiency. Dongwha built an innovative Smart Factory Software platform that collects and analyzes data to enhance quality and production management capabilities. Originally, the platform was built with the community version of MongoDB. However, in order to scale and adapt, the team recently migrated to MongoDB Atlas in the cloud. This enabled them to store large volumes in the fastest and most secure way, optimize their solution for time series data, and make it easy to run machine learning across their data. Dongwha completed the migration seamlessly, without any disruption or downtime to their factories, and it has now been launched across five different sites. Over the last year, the application has significantly increased its availability and reliability while performance has improved by as much as 6x . As they look to the future, Dongwha plans to roll out the software to more of its international factories. Digital Native myBillBook India is home to more than 60 million small and medium-sized businesses (SMBs) but only a small portion of those SMBs are taking advantage of digitization and many still operate using pen and paper. In addition, many businesses in India still struggle with fluctuations in internet services, outages, and latency. FloBiz is on a mission to change that with myBillBook , a one-stop solution that helps SMBs create professional invoices, manage stock, collect payments, automate reminders through smart banking, engage with their customers, manage staff attendance and payroll and generate more than 25 business reports for accounting and decision making. The app is also mobile-first, so businesses can access them from their mobile devices and allows users to manage billing and inventory in both online and offline environments. The myBillbook app is powered by MongoDB Atlas, providing the flexible and scalable foundation for the business to do everything from building new features to performing complex analytical queries. In addition, Realm, MongoDB’s mobile database, with Atlas Device Sync, supports offline usage and automatic syncing with the cloud to ensure there is never data or functionality loss for users due to poor internet connection. Because of its success in supporting customers with business critical operations, more than 6.5 million business owners in India are now using myBillbook for their billing, accounting, collection and business growth. Customer Focused KASIKORN Business-Technology Group Established in 1945, Kasikornbank (KBank) is one of the largest and oldest banks in Thailand. Their mission is to strive towards service excellence and empower every customer’s life and business. One of KBank’s subsidiaries, KASIKORN Business-Technology Group (KBTG) , developed a mobile banking application – MAKE by KBank. MongoDB Atlas’ flexibility and ease of development enabled MAKE’s development team to choose the best type of database for its tasks, to automate data tiering with Atlas Online Archive, and to reduce hours spent on operational maintenance. With more time to focus on delivering new innovations to customers, they created unique features like Cloud Pocket which can allocate funds into unlimited customizable pockets for separate usage. They also built Pop Pay, a feature that allows users to easily search for nearby friends and transfer money by clicking their profile picture as well as “Expense Summary" a spending analysis services that helps inform and manage users’ financial habits. As of January 2023, MAKE has acquired more than 1 million users, and increased the number of transactions in MAKE from 900,000 to more than 7.5 million in a span of one year. Massive Scale China Mobile China Mobile provides mobile voice and multimedia services via its nationwide mobile telecommunications network across mainland China and Hong Kong. It is the world's largest mobile network operator by total number of subscribers. The telecommunications leader is using MongoDB to support one of its largest and most critical push services, which sends out billing details to more than 1 billion users every month. Prior to MongoDB, the tech team relied on Oracle, but as the user numbers increased, performance degraded. Despite large investments, it was still taking too long to do basic requests like finalize and deliver bills to users. In 2019, after comprehensive testing, China Mobile migrated to MongoDB. By taking advantage of MongoDB's native sharding, they were able to improve performance by 80% and go from 50 Oracle machines, to just 12 machines for the same workload. The service now handles all current requirements and is set up to scale with future growth. With the support of MongoDB, China Mobile is growing steadily,with more than 168 million monthly users and has one of the highest customer satisfaction scores in the China Mobile group.
MongoDB Welcomes New Cohort of Community Champions and Enthusiasts
MongoDB is excited to announce our new Community Champions and Community Enthusiasts joining the Community Advocacy Program . This program is a global community of passionate and dedicated MongoDB advocates. Through it, members can grow their knowledge, profile, and leadership by engaging with the larger community and advocating for MongoDB technologies and our users. Community Champions and Community Enthusiasts keep everyone informed and excited about our latest developments and offerings. They're the connective tissue between MongoDB and the organizers, contributors, and creators who represent the backbone of our community. They share their knowledge and experiences with others through a variety of media and events. Community Advocacy Program members also uplevel their knowledge of MongoDB technologies and build personal skills in advocacy and community engagement by working closely with MongoDB staff Members gain a variety of experiences and relationships that grow their professional stature as MongoDB practitioners and enable them to form meaningful bonds with community leaders. Returning Community Champion Nuri Halperin shared his experiences with the program: “Being part of the MongoDB Community Advocacy Program is a true honor. I get to work closely with people who are as enthusiastic as me about MongoDB, sharing our experiences and perspectives. It’s the place where we seriously geek-out, learn, and imagine new possibilities. This is the kind of deep engagement you can’t really get anywhere else.” To learn more about the Community Advocacy Program, please visit the MongoDB Community Advocacy Program page .
MongoDB Atlas Integrations for CDKTF are now Generally Available
MongoDB Atlas Integrations for AWS CloudFormation and CDK are now Generally Available
MongoDB Atlas for Government on AWS Achieves FedRAMP® Moderate Authorization
MongoDB has achieved the formal FedRAMP® Moderate Authorized designation for MongoDB Atlas for Government (US) , the most secure way for the US Government to deploy, run, and scale MongoDB in the cloud. Additionally, MongoDB has worked with an independent auditor to validate our ability to support customers subject to Criminal Justice Information Services (CJIS) requirements regarding how sensitive data is created, viewed, modified, transmitted, disseminated, stored, and destroyed. MongoDB Atlas for Government Atlas for Government is an independent, dedicated environment of MongoDB Atlas for the US public sector, as well as ISVs looking to build US public sector offerings. This developer data platform – an integrated set of data and application services that share a unified developer experience – supports a wide range of use cases including transactional workloads, time series data, search, and petabyte data storage. Built on AWS and running in US AWS regions, Atlas for Government has been generally available since June 2021 and provides the simplest way to deploy, operate, and scale modern applications, all in a FedRAMP Moderate Authorized environment. Atlas for Government highlights include: MongoDB clusters deployed in AWS GovCloud or AWS US East/West (US) regions , and leverage the full functionality of MongoDB's document database, Atlas Search, fully automated backup, time series, and more. Guaranteed high availability with a ~99.995% uptime SLA which auto-scales up or down to accommodate fluctuations in data consumption, affording greater flexibility and cost control. Unparalleled security , with all security features built-in at no additional cost. Also, Atlas for Government is operated by MongoDB employees who are US persons on US soil. Support for both AWS GovCloud regions so customers can create multi-GovCloud region clusters and backups that stay within those regions and copy to both. ISVs can use Atlas for Government to store US government data and rapidly build their own FedRAMP offerings. All encryption within Atlas for Government is FIPS validated. These features make Atlas for Government uniquely positioned to support mission-critical applications across the US public sector. How MongoDB powers key use cases across the public sector MongoDB Atlas is already powering innovative applications in a number of sectors. And now, Atlas for Government is primed to power critical applications across public sector agencies and the ISVs that support them. Healthcare MongoDB is built to bring together data from disparate databases, systems, and data formats to create a single view of the patient. And with Atlas for Government’s dynamic schema, government agencies can enrich their view of patients with data from new sources, such as connected health devices. Both MongoDB and FHIR natively support the JSON format, the standard that supports rich data structures and objects prevalent in healthcare such as patient data, claims, policies, and treatment information. Financial services Agencies that participate in financial services activities must fully commit to digital transformation – liberating data, empowering developers, and embracing disruption — to keep up with the expectations of instantaneous transactions. Whether it's trading platforms and end-to-end digital loan origination, or AI/ML-driven fraud detection systems and financial 'super apps', Atlas for Government enables innovation and speed for government agencies that conduct payments and core banking applications. Federal, state, and local government National, regional, and local governments are facing pressing challenges with rising costs, changing regulations, and complex technological demands. The traditional systems currently in place are expensive and improperly equipped to handle modern needs for scale, cost efficiency, and flexibility. Atlas for Government opens doors for new initiatives like building smart cities, planning for traffic and construction updates, and improving the welfare of citizens. Education From groundbreaking data-based research to the administrative management of schools’ complex ecosystems, proper data management can transform how educational institutions operate. A modern data platform helps institutions navigate complex challenges like providing continuous learning, teaching with limited resources, and retaining students and staff. Atlas for Government offers an intuitive, secure, cost-effective solution for institutions dedicated to all stages of education. How do I get started? Customers can fill out the form on the MongoDB Atlas for Government page and a MongoDB specialist will get in touch with further details to set up. The specialist will help you set up Atlas for Government clusters (US) and you can either launch a new workload, migrate your existing Atlas workload to Atlas for Government, or re-platform your existing workloads by engaging with our professional services. Please also refer to the technical documentation for Atlas for Government for more details, or learn more on MongoDB University .
5 Ways to Learn MongoDB
MongoDB offers a variety of ways for users to gain product knowledge, get certified, and advance their careers. In this guide, we'll provide an overview of the top five ways to get MongoDB training, resources, and certifications. #1: MongoDB University The best place to go to get MongoDB-certified and improve your technical skills is MongoDB University . At our last MongoDB.local London event, we announced the launch of a brand new, enhanced university experience, with new courses and features, and a seamless path to MongoDB certification to help you take your skills and career to the next level. MongoDB University offers courses, learning paths, and certifications in a variety of content types and programming languages. Some of the key features that MongoDB University offers are: Hands-on labs and quizzes Bite-sized video lectures Badges for certifications earned Study guides and materials Getting certified from MongoDB University is a great way to start your developer journey. Our education offerings also include benefits for students and educators . #2: MongoDB Developer Center For continued self-paced learning, the MongoDB Developer Center is the place to go. The Developer Center houses the latest MongoDB tutorials, videos, community forums , and code examples in your preferred languages and tools. The MongoDB Developer Center is a global community of more than seven million developers. Within the Developer Center, you can code in different languages, get access to integrate technologies you already use, and start building with MongoDB products, including: MongoDB, the original NoSQL database MongoDB Atlas , the cloud document database as a service and the easiest way to deploy, operate, and scale MongoDB MongoDB Atlas App Services , the easy way to get new apps into the hands of your users faster #3: Instructor-led training As an IT leader, you can help your team succeed with MongoDB instructor-led training taught live by expert teachers and consultants. With MongoDB’s instructor-led training offering, you can access courses aimed at various roles. Our Developer and Operations learning paths cover fundamental skills needed to build and manage critical MongoDB deployments. Beyond that, our specialty courses help learners master their skills and explore advanced MongoDB features and products. You can also modify how you want to learn. MongoDB offers public remote courses, which are perfect for individuals or teams who want to send a few learners at a time. If your goal is to upskill your entire team with MongoDB, our courses can be delivered privately, both onsite or remotely. Instructor-led training also provides the opportunity for Q&A, providing answers to your specific questions. #4: Resources Beyond formal training programs, MongoDB is committed to providing thought leadership resources for those looking to dive deeper and learn more about MongoDB and database technologies in general. Our website offers an active blog with ongoing thought leadership and how-to articles, along with additional coding documentation , guides, and drivers. You can also check out the MongoDB Podcast for information about new and emerging technology, MongoDB products, and best practices. #5: Events You can also engage with MongoDB experts at our many events, including MongoDB World, our annual conference for developers and other IT leaders. After MongoDB World, we take our show on the road with MongoDB .local events across the globe. These events give you the opportunity to learn in a hands-on fashion and meet other MongoDB users. MongoDB also hosts MongoDB days in various global regions, focusing on developer workshops and leveling up skills. Beyond that, you can keep up with our webinars and other learning opportunities through our Events page. Build your own MongoDB story Of course, many people like to learn by doing. To get started using MongoDB Atlas in minutes, register for free .
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 .
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.
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.
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.