A Year of Thrill: Celebrating the New MongoDB University
Staying ahead in the ever-evolving tech world is like being on a rollercoaster - it’s exciting but it can also make your head spin! When we set out to revamp MongoDB University , we wanted to provide developers with frictionless access to the learning content they needed to conquer their challenges. It’s been one year since the launch and we are over the moon about how far the new MongoDB University has come - a one-stop hub with fresh certifications and new content, all available online. But none of this would have been possible without the incredible support of our engaged learners who have embarked on this ride with us. Our commitment to delivering top-notch educational resources has been nothing short of award-winning, earning us the prestigious Silver Excellence Award from the Brandon Hall Group in the category of ‘Best Advance in Creating an Extended Enterprise Learning Program’. The success of the new University has also been featured at industry events, including Cognition and the Customer Education Management Association Conference. So, let’s buckle up and take a tour through the revamped MongoDB University! New content With over 1,000 learning assets, including videos, hands-on labs, code recaps, quizzes, and courses, there’s something for everyone. Plus, now we have you covered with language subtitles in Chinese (Traditional and Simplified), Korean, Spanish, Deutsch, Japanese, Italian, French, and Portuguese. The best part? All of the content is free, online, and you can take your time and learn at your own pace. Let’s explore three of our newest courses: Data Modeling for MongoDB: This course guides you through the foundational steps of creating an effective data model in MongoDB, including identifying entities and workloads, mapping and modeling relationships between entities, and using key schema design patterns. Atlas Essentials: In this course, you’ll gain the foundational knowledge and skills needed to use MongoDB Atlas, the multi-cloud developer data platform. MongoDB for SQL Professionals: This course will help you leverage your SQL skills to get started with MongoDB quickly. You can practice what you learn and gain valuable real-world skills with labs hosted in our in-browser development environment. The new experience allows you to explore hands-on exercises as part of our courses, or you can dive directly into a standalone lab . The labs include step-by-step instructions that guide you through each scenario and even provide hints along the way. And for those looking for nuggets of MongoDB wisdom, explore the catalog of over 30 Learning Bytes . These short videos cover a wide variety of topics and are designed to help you get the knowledge you need quickly. New certifications Our freshly revamped certifications are recognized by professional institutions and are your ticket to having your knowledge and skills formally validated and recognized by MongoDB. They are a great way to elevate yourself in your current role and increase your marketability for future roles. Certifications come with bragging rights, inclusion in the Credly Talent Directory, and a shiny Credly badge that makes it easy for you to share your achievement. So, let’s explore the two new certifications: MongoDB Associate Developer: Certify that you possess the essential skills to create beginner-level applications utilizing MongoDB as a backing database for Java, Python, C#, PHP, or Java applications. MongoDB Associate Database Administrator: Validate your MongoDB database administration skills by certifying your knowledge of building, supporting, and securing MongoDB infrastructure. And if you need a boost, once you complete one of the certification learning paths you will automatically unlock a 50% discount on a certification exam. Educators and students can check out the Academia program to learn how to receive a free exam. All aboard! This is just the beginning of the adventure and we are excited for what is yet to come. So, fasten your seatbelt, and let’s keep learning together! With over 1,000 learning assets, MongoDB University has what you need to pick up new skills and advance your career. Explore free courses, practice with hands-on labs, and earn MongoDB certifications.
Why We’re Celebrating Developers (And Why We Always Will)
No matter the future, developers will build it. This is the fundamental message for MongoDB’s Love Your Developers campaign, which we created to celebrate, recognize, and support all that developers have done and continue to do. When the campaign launched earlier this year, it took a more historical view on how developers have shaped the history of computing from its earliest days — even before computers were invented. We wanted to show that — even in the eras when hardware was the primary focus — programming language pioneers, like Grace Hopper, and innovative engineers, like Jerry Lawson, fundamentally shaped the future through software. (To read more about the campaign, and why we launched it, check out our announcement blog article .) Introducing the MongoDB Developer Spotlight Series Just like in the past, today’s technologies aren’t developed in a vacuum. It takes entire teams of developers — experimenting, innovating, testing — to build and deploy applications that transform how we interact with the world. That is why we’re introducing our MongoDB Developer Spotlight Series. Our aim is to celebrate the diversity of experiences and approaches that exist among and throughout the global developer community. To do this, we will highlight stories from today’s community champions, developer advocates, newbies, senior engineers — and more. It’s our hope that these stories will help inspire the next generation of developers who will further shape our future. In this new series, we’ll introduce you to developers like Trina Yau. Trina went from being a pharmacist to a software engineer at Cisco. While initially concerned about her nontraditional background, she was later told by recruiters that her unique journey was a strength, rather than a weakness. This revelation showed her that, in order to become a developer, one must only possess a curious mind. In other words, there is no singular path to working in software. In a forthcoming post, Trina (who is also a MongoDB Community Creator) will share with us why developing isn’t just a way to earn a living, but a way to connect with people and share experiences through technology. This series will also spotlight developers like Justin Jenkins, who is a Software Development Engineer at Pushpay and a MongoDB Community Creator. He got his start at an early age, building his own computers and coding in BASIC - before he even knew that developing was a thing. In a future post, Justin will share tips based on his own experiences. For example, in his view, newbie developers know more than they think when it comes to getting started. Through MongoDB’s social channels, we’ll share all of these developers’ insights, tips, advice, and origin stories. So stay tuned. And let us know what you think. #LoveYourDevelopers Because no matter what the future holds, it’s developers who will build it. If you’d like to learn how you can get involved in MongoDB’s own Developer Community, head on over to our Community Forum . There, you’ll find updates, announcements, and ways to interact with other developers.
MongoDB Atlas for Telecommunications Launches in Dallas, Alongside AT&T and Cisco
MongoDB has officially launched MongoDB Atlas for Telecommunications, a new program for telecommunications companies to accelerate innovation and maximize the use of their data to better serve customers. The program includes expert-led innovation workshops, tailored technology partnerships, and industry-specific knowledge accelerators that provide customized training paths designed for modernization and innovative digital services leveraging the potential of modern 5G networks. Visit the MongoDB Atlas for Industries page to learn more. MongoDB Atlas for Telecommunications launched against a backdrop of hundreds of developers and industry IT leaders at our MongoDB.local gathering in Dallas. Throughout the event, speakers and product announcements emphasized how the telecommunications industry is currently utilizing MongoDB Atlas to gain a competitive advantage. Atlas for the Edge 5G has opened up new revenue streams for Communication Service Providers (CSPs), with whole new industries racing to take advantage of the up to 100x improvements in speed and throughput that these new networks offer. However, while these networks offer significant speed enhancements, the underlying cloud computing environments, without any optimization, remain the primary bottleneck to delivering the sorts of data processing capabilities that these new, ultra-low latency applications demand. Atlas for the Edge addresses this issue by providing reliable data connectivity across the cloud, data centers, and devices, catering to critical real-time use cases like machine learning, disaster recovery, and autonomous vehicles. MongoDB's Atlas developer data platform ensures consistent data management, irrespective of the data's origin, storage location, or destination. This solution not only offers the ability to deploy MongoDB at any edge location, thereby enhancing performance and cost efficiency but also unifies data across various sources, ensuring a singular, dependable data source. Furthermore, with Atlas Stream Processing , real-time data processing from numerous devices, including sensors and mobile phones, is made possible. This allows for functions like anomaly detection and predictive maintenance on data sets. In terms of security, data encryption is ensured at all stages, and users can also benefit from advanced access controls or integrate with external identity management solutions. You can learn more about how MongoDB and Verizon are building the next generation of mobile 5G networks on our Mobile Edge Computing page. Atlas Stream Processing Atlas Stream Processing is especially beneficial for CSPs as it aids in real-time network performance analysis, ensuring quicker responses and enhancing customer experiences. With the ability to quickly detect anomalies, CSPs can maintain consistent network performance. Moreover, with data security as a priority in today's digital landscape, Atlas Stream Processing encrypts data both in transit and at rest, ensuring the safe processing of CSP data streams. For CSPs, being able to adapt and react in real time is essential. By leveraging Atlas Stream Processing, they can optimize operations, offer improved services, and make data-driven decisions promptly, ensuring they remain competitive in the ever-evolving industry. Vector Search Atlas Vector Search , a new addition to the MongoDB Atlas product line, enables CSPs to build intelligent applications powered by semantic search and generative AI over unstructured data, giving customers results that go beyond keyword matching and that infer meaning and intent from a user’s search term. By employing Atlas Vector Search, CSPs can quickly sift through vast datasets, including customer profiles, service logs, or network patterns, to find relevant insights. Such capabilities can enhance customer service, as CSPs can more readily understand user behavior and preferences, helping to uncover new opportunities to address customer needs. Additionally, as CSPs diversify their offerings and integrate more with digital services, the ability to conduct nuanced searches becomes essential for product innovation and market differentiation. Learn more about Atlas Vector Search on our product page . Attendees of MongoDB.local Dallas were also treated to talks by Luke Rice, Director of Technology at AT&T, and Shaun Roberts, Principal Engineer at Cisco, both of whom outlined how they were utilizing MongoDB Atlas to transform how they do business. Going on a modernization journey with AT&T Rice presented an overview of AT&T's platform for address management, validation, and qualification. This platform is crucial for the accurate deployment of products and services to customers, determining service eligibility based on location, and handling address inconsistencies from various sources. It supports both geocoding and reverse geocoding, translating addresses to geospatial coordinates and vice versa. It interacts with third-party address data providers and has the ability to match and merge inconsistent address data. The system's importance extends beyond mere validation and service qualification, heavily influencing much of AT&T's product and service lifecycle. From planning where to build out infrastructure, to working with construction and engineering during builds, and setting up services in areas where addresses are yet to be finalized, the system plays a pivotal role. Additionally, it aids in sales, order provisioning, billing, and dispatching for service management, handling around 380 million unique addresses and managing around 14 million daily transactions. Currently, AT&T’s address management system consists of several aging and sometimes overlapping systems, creating issues with maintenance and efficiency. AT&T is on a modernization journey to integrate approximately 12 of these systems into a singular solution, the Intelligent Network Location Application Platform (IN-LAP). At the center of IN-LAP is MongoDB Atlas. The primary benefit of MongoDB Atlas to AT&T is its simplified and flexible data structure, which helps them create their single source of truth. And with MongoDB’s flexible schema, AT&T is ready to continuously adapt digital products to new data demands and technologies, like edge computing and AI, without extensive and time-consuming database redesign. MongoDB Atlas also offers AT&T benefits from reduced data duplication, multiple data ingestion options, and built-in geospatial functions, allowing them to perform calculations like point-to-point distances without third-party tools. We do require our Solutions like [IN-LAP] to be multi-region, and so that [multi-cloud] being built into the Atlas platform enables me to just focus on building value. Luke Rice, Director of Technology at AT&T Ultimately, accelerating time to market for new products is key for Rice and AT&T. MongoDB Atlas offers AT&T a level of "platformization" that allows developers to focus solely on delivering business value, relieving them of the operational intricacies and management responsibilities of running a large and mission-critical database. Lastly, MongoDB’s native multi-region, multi-cloud support gives Rice and his team reassurance that they can easily scale IN-LAP to different regions and countries in the future. How Cisco empowers its workforce to build a better customer experience Roberts shared how Cisco’s Customer Experience (CX) team leverages MongoDB in the company’s groundbreaking Ascension product. Ascension is a platform that empowers people from across the company, including those with little to no coding knowledge, to develop customer-focused innovations using a cloud-native, low-to-no-code solution. Shaun and his CX team had specific requirements for Ascension. They wanted: A scalable, production-grade system. To engage a broader spectrum of their development base, including those not traditionally involved in coding. A cutting-edge, compliant solution upholding Cisco's stringent security standards. A solution that could be managed by a compact, volunteer-based tiger team. Initially, they experimented with a range of on-prem solutions, including OpenStack, VMware, Arango, and Microsoft SQL. Unfortunately, none met their criteria, particularly when it came to scaling the usage of Ascension. This was especially true for their core application, the Cisco Virtual Tac Engineer, which manages tens of thousands of cases daily. Ascension cut development time by 40% to 60% compared with traditional methods. In the end, to meet their ambitious goals and stringent requirements, Cisco built its solution using MongoDB Atlas. MongoDB Atlas now serves as the primary database for Ascension and also operates as the de facto database-as-a-service (DBaaS) for client apps built using Ascension, with 98% of all applications built by Ascension users running on MongoDB Atlas. With MongoDB at its core, Ascension helps power some of the most exciting innovations across Cisco Customer Experience, helping the company bring amazing efficiency and service to its customers. The results speak for themselves: Ascension cut development time by 40% to 60% compared with traditional methods. Over a year, Ascension user numbers surged from 20 to over 900. Ascension processes 450,000 to 500,000 workflows daily, amounting to about 12 million monthly. Ascension uptime stands at an impressive 99.9%, with the minor downtime attributed to upgrades. On average, an engineer at Cisco dedicating time to Ascension spends 12 hours a week on it. Learn more about how to take advantage of the MongoDB Atlas for Telecommunications program on our MongoDB for Industries page.
Atlas Vector Search Commands Highest Developer NPS in Retool State of AI 2023 Survey
Retool has just published its first-ever State of AI report and it's well worth a read. Modeled on its massively popular State of Internal Tools report, the State of AI survey took the pulse of over 1,500 tech folks spanning software engineering, leadership, product managers, designers, and more drawn from a variety of industries. The survey’s purpose is to understand how these tech folk use and build with artificial intelligence (AI). As a part of the survey, Retool dug into which tools were popular, including the vector databases used most frequently with AI. The survey found MongoDB Atlas Vector Search commanded the highest Net Promoter Score (NPS) and was the second most widely used vector database - within just five months of its release. This places it ahead of competing solutions that have been around for years. In this blog post, we’ll examine the phenomenal rise of vector databases and how developers are using solutions like Atlas Vector Search to build AI-powered applications. We’ll also cover other key highlights from the Retool report. Check out our AI resource page to learn more about building AI-powered apps with MongoDB. Vector database adoption: Off the charts (well almost...) From mathematical curiosity to the superpower behind generative AI and LLMs, vector embeddings and the databases that manage them have come a long way in a very short time. Check out DB-Engines trends in database models over the past 12 months and you'll see that vector databases are head and shoulders above all others in popularity change. Just look at the pink line’s "up and to the right" trajectory in the chart below. Screenshot courtesy of DB-engines, November 8, 2023 But why have vector databases become so popular? They are a key component in a new architectural pattern called retrieval-augmented generation — otherwise known as RAG — a potent mix that combines the reasoning capabilities of pre-trained, general-purpose LLMs and feeds them real-time, company-specific data. The results are AI-powered apps that uniquely serve the business — whether that’s creating new products, reimagining customer experiences, or driving internal productivity and efficiency to unprecedented heights. Vector embeddings are one of the fundamental components required to unlock the power of RAG. Vector embedding models encode enterprise data, no matter whether it is text, code, video, images, audio streams, or tables, as vectors. Those vectors are then stored, indexed, and queried in a vector database or vector search engine, providing the relevant input data as context to the chosen LLM. The result are AI apps grounded in enterprise data and knowledge that is relevant to the business, accurate, trustworthy, and up-to-date. As the Retool survey shows, the vector database landscape is still largely greenfield. Fewer than 20% of respondents are using vector databases today, but with the growing trend towards customizing models and AI infrastructure, adoption is guaranteed to grow. Why are developers adopting Atlas Vector Search? Retool's State of AI survey features some great vector databases that have blazed a trail over the past couple of years, especially in applications requiring context-aware semantic search. Think product catalogs or content discovery. However, the challenge developers face in using those vector databases is that they have to integrate them alongside other databases in their application’s tech stack. Every additional database layer in the application tech stack adds yet another source of complexity, latency, and operational overhead. This means they have another database to procure, learn, integrate (for development, testing, and production), secure and certify, scale, monitor, and back up, And this is all while keeping data in sync across these multiple systems. MongoDB takes a different approach that avoids these challenges entirely: Developers store and search native vector embeddings in the same system they use as their operational database. Using MongoDB’s distributed architecture, they can isolate these different workloads while keeping the data fully synchronized. Search Nodes provide dedicated compute and workload isolation that is vital for memory-intensive vector search workloads, thereby enabling improved performance and higher availability With MongoDB’s flexible and dynamic document schema, developers can model and evolve relationships between vectors, metadata, and application data in ways other databases cannot. They can process and filter vector and operational data in any way the application needs with an expressive query API and drivers that support all of the most popular programming languages. Using the fully managed MongoDB Atlas developer data platform empowers developers to achieve the scale, security, and performance that their application users expect. What does this unified approach mean for developers? Faster development cycles, higher performing apps providing lower latency with fresher data, coupled with lower operational overhead and cost. Outcomes that are reflected in MongoDB’s best-in-class NPS score. Atlas Vector Search is robust, cost-effective, and blazingly fast! Saravana Kumar, CEO, Kovai discussing the development of his company’s AI assistant Check out our Building AI with MongoDB blog series (head to the Getting Started section to see the back issues). Here you'll see Atlas Vector Search used for GenAI-powered applications spanning conversational AI with chatbots and voicebots, co-pilots, threat intelligence and cybersecurity, contract management, question-answering, healthcare compliance and treatment assistants, content discovery and monetization, and more. MongoDB was already storing metadata about artifacts in our system. With the introduction of Atlas Vector Search, we now have a comprehensive vector-metadata database that’s been battle-tested over a decade and that solves our dense retrieval needs. No need to deploy a new database we'd have to manage and learn. Our vectors and artifact metadata can be stored right next to each other. Pierce Lamb, Senior Software Engineer on the Data and Machine Learning team at VISO TRUST What can you learn about the state of AI from the Retool report? Beyond uncovering the most popular vector databases, the survey covers AI from a range of perspectives. It starts by exploring respondents' perceptions of AI. (Unsurprisingly, the C-suite is more bullish than individual contributors.) It then explores investment priorities, AI’s impact on future job prospects, and how it will likely affect developers and the skills they need in the future. The survey then explores the level of AI adoption and maturity. Over 75% of survey respondents say their companies are making efforts to get started with AI, with around half saying these were still early projects, and mainly geared towards internal applications. The survey goes on to examine what those applications are, and how useful the respondents think they are to the business. It finds that almost everyone’s using AI at work, whether they are allowed to or not, and then identifies the top pain points. It's no surprise that model accuracy, security, and hallucinations top that list. The survey concludes by exploring the top models in use. Again no surprise that Open AI’s offerings are leading the way, but it also indicates growing intent to use open source models along with AI infrastructure and tools for customization in the future. You can dig into all of the survey details by reading the report . Getting started with Atlas Vector Search Eager to take a look at our Vector Search offering? Head over to our Atlas Vector Search product page . There you will find links to tutorials, documentation, and key AI ecosystem integrations so you can dive straight into building your own GenAI-powered apps . If you want to learn more about the high level possibilities of Vector Search, then download our Embedding Generative AI whitepaper.
Introducing a New Way to Explore, Discover, and Get Started with the Right MongoDB Partner
At MongoDB, our partners have always been an integral part of our growth and success, so it is especially important to harness the power of our global partner ecosystem to connect customers to innovative technology and services. Working alongside our partners, MongoDB Atlas , the leading multi-cloud developer data platform, is accelerating and simplifying building with data. Together, we enable developers to quickly build with the capabilities, performance, and scale generative AI applications required to drive business value. As our partner ecosystem continues to grow, it is important that customers can easily find the perfect MongoDB partner based on competencies like use cases, industry expertise, products, and platform services. We want to enable customers to find vetted and exemplary solutions that work with MongoDB. To make this partner discovery a reality, we’re thrilled to introduce the MongoDB Partner Ecosystem Catalog , a new way to explore the many MongoDB partners and find the best-combined solution. "MongoDB is passionate about partners and customers and our partner ecosystem is designed based on customer needs and feedback. Launching the MongoDB Partner Ecosystem Catalog is another step in that journey. This new catalog will make it easier to connect customers with the right partner at the right time to ensure they have the technology and support they need to be successful. This is especially important as more organizations look to capitalize on the power of generative AI both in how they build applications and how their customers interact with applications." -Alan Chhabra, Executive Vice President, Worldwide Partners and Asia This new catalog enables customers to discover everything the MongoDB partner ecosystem has to offer in one place. With over 1,000 partners and counting across the globe, we’ve identified, vetted, and highlighted those that we believe to be most impactful and capable of driving the best experiences for customers. Today at MongoDB.local Paris, MongoDB also announced the launch of MongoDB Atlas for Retail , part of the Atlas for Industries program, to accelerate innovation in the retail industry through tailored partnerships, expert-led innovation workshops, and an industry-specific incubator that builds customized training paths for customers. Customers are now able to explore a variety of different partners, from cloud providers to system integrators, technology partners, and those partnering with MongoDB to build AI solutions. Using this discovery tool, customers are now able to explore and filter the MongoDB partner ecosystem based on: The use case or problem they are trying to solve Industry-specific focus In-depth details about what a partner offers and how they work with MongoDB Documentation and instruction on how to get started Building this feature for the MongoDB partner ecosystem is one of the initial steps to enhance discoverability, highlight relevant product integrations, get developers started quickly, and continue to grow our partner network. Participating partners can join and contribute to an engaged and thriving ecosystem. Hear from some of the companies included in our MongoDB Partner Ecosystem Catalog launch: Erik Bovee, Head of Business Development at MindsDB "We are thrilled to be a launch partner for MongoDB's new partner ecosystem catalog. Our MindsDB integration allows any MongoDB developer to easily build enterprise-grade AI solutions with real-time data by plugging any AI model directly into their MongoDB collections. MindsDB can be used to take advantage of vector features, create embeddings, call LLMs from within collections, and offers automation and orchestration for AI workflows over dynamic data. Together, we'll continue to help developers streamline building powerful, AI-enriched applications." Asvin Ramesh, Sr. Director, Partner Alliances at HashiCorp "HashiCorp and MongoDB have both been working to improve developer efficiency and innovation with integrated capabilities that evolve with an organization's environment. As part of the new MongoDB Partner Ecosystem Catalog, customers will have an easier path to identifying which integrations will work for them and get started quicker with direct access to documentation.” Eyal Sacharov, SVP, Research & Chief Architect, CTO at BigID "We provide our customers with a single platform for data visibility and control for security, compliance, privacy, and governance. We're able to help customers get more value from their data and reduce their data risk - accurately, at scale, and fit for their environment. We are proud to be part of the new Partner Ecosystem Catalog and look forward to helping more joint customers discover, manage, and protect their data." Aaqib Gadit, Chief Revenue Officer at DigitalOcean “DigitalOcean and MongoDB have a shared vision of making cloud acceleration for startups and SMBs simpler so they can focus on innovating and building,” said Aaqib Gadit, Chief Revenue Officer. “MongoDB's new Partner Ecosystem Catalog will make this even easier as startups and businesses alike will be able to quickly find the ideal partner for each project they are working on. We are excited to be part of this launch and committed to working with even more joint customers.” Keshav Varma, ISU Head, Technology, Software and Services Business Group, at Tata Consultancy Services (TCS) "It is a priority for us to help organizations transform their legacy data infrastructure in a fast, secure way, and MongoDB is one of our key technology partners in making this happen. TCS's deep domain knowledge across industries, sustained investments in research & innovation, and collaboration with MongoDB shall accelerate customer's growth and transformation journeys.” Eric Allen, Partner Leader at gravity9 “We are in the business of helping our clients accelerate their digital journey and providing them with the best digital products, and MongoDB is integral to this. Being part of MongoDB’s new Partner Ecosystem Catalog makes it easier for us to connect with the customers we can help the most to realize their vision.” The MongoDB Partner Ecosystem Catalog is one of many improvements we are working on to connect customers to the solutions, and partners, they need to unlock value. Soon, customers will be able to navigate the MongoDB Partner Ecosystem by region of service and with additional filtration, as well as review testimonials. We look forward to continuing to work with our partners to help customers build and scale their applications on MongoDB. Visit our website to learn more about the MongoDB Partner Program and apply to be part of our ecosystem .
Welcoming the Grainite Team to MongoDB: Accelerating Atlas Stream Processing
Tens of thousands of customers and millions of developers rely on MongoDB Atlas to run business-critical applications because of its flexible document data model and ability to work with virtually any type of data using a single, intuitive developer data platform that can run on all major cloud providers. Earlier this year, we announced that we would enable developers to apply the benefits of the document model and a unified interface to streaming data with Atlas Stream Processing . In a short amount of time, we have seen a strong response from developers eager to use this capability to simplify building event-driven applications. To accelerate the development of our streaming offering, we are thrilled to announce that the team behind Grainite — a streaming application platform, backed by Sequoia Capital and Menlo Ventures, that makes it easy to read, process, store, and query events in real-time — has now joined MongoDB. Grainite was founded by world-class technologists Ashish Kumar, who spent over ten years running structured storage products and other high-scale infrastructure projects at Google, and Abhishek Chauhan, who previously served as CTO of Cloud Networking at Citrix. Ashish and Abhishek bring with them a team of talented engineers to MongoDB who will help accelerate the development of Atlas Stream Processing and the release of new capabilities that will make it even easier for customers to process and analyze streaming data for real-time application experiences. “We’re excited to be joining a company that shares our vision for making it effortless to build event-driven applications,” said Kumar. “We’re looking forward to continuing to develop a world-class streaming platform that will make it easier for developers to incorporate real-time data into their applications and becoming part of an organization that can significantly amplify the reach and impact of event-driven applications for developers and end users.” We look forward to welcoming the Grainite team to MongoDB and sharing updates on Atlas Stream Processing and our broader streaming roadmap in the near future.
Congratulations to the 2023 EMEA MongoDB Innovation Award Winners
Throughout 2023, MongoDB has recognized the exceptional successes our APAC and North America customers realize when they build with MongoDB Atlas. Today, we are pleased to announce the recipients of the 2023 EMEA MongoDB Innovation Awards. These customers join a premiere group of organizations that have been recognized for boldly exploring the power of data and harnessing it to build the applications of tomorrow. The professionals behind these innovative projects span industries, use cases, and geographies. However, what remains constant is each organization's unfailing commitment to delivering deeper insights, powerful features, and capabilities, as well as seamless experiences, to their customers. We congratulate each of the EMEA MongoDB Innovation Award winners for delivering big results and invite you to find inspiration in their work below. Building the Next Big Thing Since being originally founded in Finland as a food delivery service, Wolt expanded their offering into groceries, gifts, and other items, and makes it possible for people living in hundreds of cities across 25 countries to get whatever they need, delivered quickly and reliably to their front door. Due to the rapidly increasing scale in their business and new partnerships with enterprise retailers, Wolt needed to rethink their existing tooling that is used by their tens of thousands of merchant partners to manage their offering inside Wolt’s delivery platform. To provide their merchants with multi-venue management capabilities, increased automation, and no limitations on amounts of menu items, Wolt chose fully-managed MongoDB Atlas due to its flexible data document model, support for Kafka and event-driven architectures, high performance, and limitless scalability. Industry Transformation Gong ’s Revenue Intelligence Platform uses proprietary AI technology to enable revenue teams to utilize customer interactions to increase business efficiency, improve decision-making, and accelerate revenue growth. Gong chose MongoDB Atlas as a high-performing transactional database due to its ability to handle Gong’s complex data structures and algorithms, and indeed MongoDB Atlas was able to support 30-40 million daily interactions and mission-critical search queries. Through the adoption of MongoDB Atlas, Gong’s queries take only 20-30 milliseconds, and with Atlas’ sharding capabilities, Gong future-proofed its environment for ongoing growth and gained greater control over its customer data. Innovative Leadership in Diversity, Equity, and Inclusion As part of its "Inclusion for All" strategy, Vodafone is committed to ensuring our digital society is accessible to all, and that women feel empowered to participate in it. In addition, Vodafone’s mission is to have 40% of women in management roles by 2030. Earlier this year, Vodafone UK teamed up with MongoDB to host interactive sessions and networking for “Digital & IT Women in Tech Week.” With a shared goal of reducing the gender gap in technology and inspiring young women to build their careers by pursuing leadership roles, the week’s events brought together more than 200 Vodafone employees to discuss breaking workplace biases and enhancing gender equality in the industry. In addition, Vodafone spoke at the 2023 MongoDB.local London event in the IDEA Lounge. Inspiring Innovation Ernst & Young LLP (EY) manages high volumes of transactional data and its clients and internal teams work under strict timelines to file taxes and meet regulatory deadlines. Their cloud-based Global VAT Reporting Tool (GVRT) platform automates and digitizes the preparation of 242 different types of returns across 79 countries. With support from MongoDB Professional Services, EY planned and executed a data migration from their previous database solution to MongoDB Atlas so that the GVRT tool could fully benefit from MongoDB’s developer data platform. Since migrating to Atlas, EY experienced a significant performance boost, they reduced costs by as much as 50%, and they are able to scale without limitations to handle increased data volumes, transactional loads, and concurrent user requests during peak periods. Find out Who Uses MongoDB and read more about our customers’ MongoDB Atlas successes.
Realm is Now Atlas Device SDKs
This post is also available in: Deutsch , Français , Español , Português . Change is essential to growth and progress in open source technology. MongoDB is announcing today that we’re renaming Realm to MongoDB Atlas Device SDKs. We will continue offering MongoDB Atlas Device SDKs as a free and open source project under Apache License 2.0. MongoDB acquired Realm and its technology in 2019 and has continued development of the project to provide developers a synchronized data layer between devices and the cloud that makes it easier to build mobile applications, including support for multiple programming languages, development frameworks, and cloud providers. MongoDB will continue open source development of Realm as Atlas Device SDKs, and developers are free to use the project — with or without MongoDB Atlas — to build reactive mobile applications using the technology of their choice. Regular updates to the project will continue to be available on its Github repository . Please engage with us on the MongoDB Community Forum with questions or feedback.
Hot Off the Press: MongoDB Launches Two New Books at MongoDB.local London
It’s well known that developers today are facing immense demand to build new, modern applications at an accelerated pace. In fact, recent data from IDC predicts that by 2025 there will be a shortfall of 4 million developers . As the industry moves towards more complex and advanced technologies, developers remain the foundation – as well as the key – to expanding emerging, innovative technologies, from AI to IoT and other automation applications. The skills required to develop these technologies are becoming increasingly specialized. In turn, the need for accessible resources, training, and education is only becoming more pressing. That’s why we’re delighted to launch MongoDB Press – our very own official series of educational books – penned by a mix of our in-house experts and trusted industry voices, covering both technical and strategic topics. We’re thrilled that our first two books of the series – Mastering MongoDB 7.0 and Practical MongoDB Aggregations – will be launched at MongoDB .local London 2023 . Practical MongoDB Aggregations was written by our very own Executive Solutions Architect, Paul Done, and is intended for developers with a baseline understanding of the MongoDB Aggregation Framework. The book will allow readers to learn more about building aggregation pipelines. You can get 20% off now by visiting mongodb.com/books . Attendees at MongoDB .local London will be able to get signed copies of the book while supplies last Mastering MongoDB 7.0 is available for pre-order and was written by a team of MongoDB experts. It provides a deep-dive into the latest features of MongoDB. By the end of the book, readers will have gained the practical understanding required to design, develop, administer, and scale MongoDB-based database applications, both on-premises and on the cloud.
Continued Excellence: MongoDB Receives Fourth Consecutive Google Cloud Partner of the Year Award
MongoDB and Google Cloud have closely partnered since 2018 to enable customers to build innovative applications through deep integrations and just reached another notable milestone. For the fourth year running, MongoDB has been honored as Google Cloud's Technology Partner of the Year, specifically in the category of Data & Smart Analytics. Over the past six years, the two companies have combined their strengths in advanced analytics and best-in-class database technology to drive innovation on behalf of customers. Throughout 2022, customer demand for our combined offerings became more pronounced, as evidenced by a surge in customers purchasing MongoDB on the Google Cloud Marketplace. MongoDB's integration with Google Cloud's products and services, like BigQuery and Google Application Integration, reached new levels, bringing customers more value through deepened integration. Furthermore, the collaborative endeavors expanded into domains such as Google Cloud’s foundation models and the emerging field of generative AI. Google & MongoDB focused on helping Startups especially those for Generative AI To make it easier for startups to embrace this joint innovation, earlier this year MongoDB announced the AI Innovators Program . Through the program, startups gain access to additional MongoDB Atlas Credits, accelerated partnership and marketing opportunities, and more. Early-stage companies can opt into this program when applying to MongoDB for Startups via the Google for Startups Cloud Program or our joint landing page , Startups can use these programs to develop and launch the AI capabilities that will set their business apart and launch them from ideation to IPO. BigQuery Partner Center Since 2017, MongoDB and Google Cloud have partnered to make BigQuery and MongoDB integration seamless. Most recently, Google designated MongoDB as Google Cloud Ready for BigQuery after validating the integration using a three-part process, including data integration tests and analysis of benchmarks. This validates that MongoDB Atlas has met a core set of functional and interoperability requirements when integrating with BigQuery, making it easier for customers to choose MongoDB Atlas in Google Cloud’s BigQuery Partner Center. Google Cloud Application Integration In the rapidly evolving realm of digital transformation, enterprises must deliver seamless and scalable solutions for their business operations in order to maintain a competitive edge. To fulfill these requirements, organizations frequently employ robust integration platforms like Google Clouds Application Integration. Functioning as an iPaaS (Integration Platform as a Service) solution within the Google Cloud ecosystem, Application Integration offers the capacity to construct integrations that link with numerous third-party applications through Integration Connectors. The MongoDB connector allows native operations such as insertion, updating, and deletion of document objects in MongoDB. The Google Cloud Application Integration simplifies the complex task of connecting data and applications for customers looking to build new applications. To get started with Google Cloud's Application Integration and MongoDB Atlas, read the documentation page . Summary Since partnering together MongoDB and Google Cloud have collaborated on many integrations to help companies achieve their goals and customers are taking notice. “Working with the right technology partners has helped us to avoid analysis paralysis that can happen when developer teams spend a lot of time trying to understand and manage every detail,” says Sethu Madhav Vure, IT Architect for Ulta Beauty. “Instead, we convert a proof of concept into a working solution, and quickly bring it to market. It’s been a major shift in our IT culture as we try out new things weekly and see incredible support from leadership,” Vure said. Ready to get started with MongoDB Atlas on Google Cloud? Check out our Google Cloud Marketplace listing to get started today. You can also learn more about our partnership on our Google integrations page .
MongoDB Announces Queryable Encryption with Equality Query Type Support
The general availability of Queryable Encryption offers end-to-end encryption of sensitive data while preserving the ability to run equality queries on that encrypted data, helping customers meet the strictest data privacy requirements. This technology allows developers to query encrypted sensitive data in a simple, intuitive way. We are releasing the equality query type with the 7.0 release and in future releases will add support to the range, prefix, suffix, and substring query types. First announced in preview in MongoDB 6.0 in 2022, Queryable Encryption introduced a fast state-of-the-art encrypted search algorithm using innovative cryptography engineering built and designed by MongoDB’s Cryptography Research Group with decades of experience designing state-of-the-art encrypted search algorithms. Since its initial release last year, MongoDB has worked in partnership with its customers including leading Fortune 500 companies in the healthcare and insurance industries to fine-tune the release for general availability. This client-side encryption approach uses novel encrypted data structures that allow developers to run efficient, expressive queries on encrypted workloads for the first time. Data remains encrypted at all times on the database, including in memory and in the CPU; keys never leave the application and cannot be accessed by the database server. Queryable Encryption: How it works Here is a sample flow of operations where an authorized user wants to query the encrypted data. In this example, let’s assume we are retrieving the records for an SSN number. Authorized users run an equality query to get specific SSN number records Recognizing the query is against an encrypted field, the driver requests the encryption keys from the customer-provisioned key provider, such as AWS Key Management Service (AWS KMS), Google Cloud KMS, Azure Key Vault, or any KMIP-enabled provider, such as HashiCorp Vault. The MongoDB driver gets the encryption keys from the key provider The driver submits the encrypted query along with a cryptographic token to the MongoDB server with the encrypted fields rendered as ciphertext. Queryable Encryption implements a fast encrypted search algorithm that allows the server to process queries on the encrypted data, without knowing the data. The data and the query itself remain encrypted at all times on the server. The MongoDB server returns the encrypted results of the query to the driver. The query results are decrypted with the keys held by the driver and returned to the client and shown as plaintext. Here are some of the key benefits of Queryable Encryption technology: Run equality queries on encrypted data: With Queryable Encryption, customers can run equality queries on encrypted data using a fast state-of-the-art encrypted search algorithm. This algorithm allows the server to process and retrieve matching documents without the server understanding anything about the data or why the document should be returned. Groundbreaking query technology based on standards-based cryptography: Queryable Encryption introduces a fast state-of-the-art encrypted search algorithm that uses NIST standards-based primitives. These are well-tested and established public standards to ensure the confidentiality and integrity of data. Faster application development cycle: Queryable Encryption allows developers to easily encrypt sensitive data without changes to their application code with many language-specific drivers to choose from. There is no crypto experience required and it’s intuitive and easy for developers to set up and use. Developers don't have to figure out how to use the right algorithms, encryption options, etc to implement their right encryption solution. MongoDB has done all that complex work for them. Reduce operational risk as sensitive workloads are protected on the cloud: Eliminate common security concerns when moving database workloads to the cloud. Customers can keep their data on any of the cloud providers and be assured that their data is protected. Since encryption keys are only accessible within the customer environment, the data cannot be decrypted by a 3rd party or the cloud provider. The only place where the data is unencrypted is in the application. Strong technical controls for critical data privacy use cases: Can help customers meet strict data privacy requirements such as HIPAA, GDPR, CCPA, PCI, and more. Queryable Encryption uses strong data protection techniques and end-to-end encryption. Resources For more information on Queryable Encryption, refer to the following resources: Queryable Encryption Documentation Queryable Encryption Quick Start Queryable Encryption FAQ Queryable Encryption Driver Compatibility
4 Big Reasons to Upgrade to MongoDB 7.0
This post is also available in: Deutsch , Français , Español , Português Lately, we've been hitting the road and making news at a series of events in major cities across the globe. One of the big highlights is the release of MongoDB 7.0 , which offers a comprehensive suite of features designed to streamline operations, improve performance, and enhance security. With this release, MongoDB reaffirms itself as a top choice for organizations looking to boost the productivity of their development teams as they build modern, distributed applications. Version 7.0 has all the features released in prior versions with additional features aimed at making it easier for developers to build software. #1 - Enhanced performance MongoDB 7.0 brings significant improvements to working with time series data, especially demanding, high-volume datasets of all shapes. These improvements result in improved storage optimization and compression, as well as improved query performance. Developers will experience even better handling of high cardinality data, improved scalability, and overall performance; enabling you to manage time-series data more efficiently and cost-effectively. Change streams will now support even wider use cases: handling changes in large documents, even with pre-images and post-images, without causing unexpected errors. #2 - Smoother migrations Updates to cluster-to-cluster sync (mongosync) will enable more efficient data migration in a variety of scenarios. Cluster-to-cluster sync now provides greater flexibility in syncing between clusters with unlike topologies, such as from replica sets to sharded clusters. Filtered sync allows for syncing specific data sets instead of the entire cluster. Atlas Live Migrate now supports migrations for clusters running MongoDB 6.0.4+ delivering migrations that are faster and more resilient in cases of interruption during the migration process. #3 - Streamlined developer experience With new enhancements to the aggregation pipeline — including compound wildcard indexes , approximate percentiles, and bitwise operators — developers can enjoy greater flexibility and performance in indexing and querying data. With MongoDB 7.0, developers can also implement user role variables within aggregation pipelines enabling a single view to display different data based on the logged-in users’ permissions. Support for fine-grained updates and deletes in time-series collections and new metrics to help select a shard key to help reduce developer effort and streamline the development process. #4 - Stronger security MongoDB 7.0 strengthens security capabilities with Queryable Encryption to help customers encrypt sensitive data and run equality queries on fully randomized encrypted data. The security enhancements ensure that developers can build and deploy applications with confidence, knowing that their data is protected and compliant with the latest security standards and protocols. Why wait? With a host of new features and enhancements designed to make your team more productive, MongoDB 7.0 is the perfect choice for organizations looking to take their development to the next level. From enhanced performance to stronger security features, MongoDB 7.0 makes it easier to build the next big thing. Register for Atlas now and start building today . If you'd like guidance on upgrading to 7.0, our professional services team offers upgrade support to help ensure a smooth transition. To learn more, see MongoDB Consulting . Check out the full session on What's New in MongoDB 7.0 on our YouTube channel!