NEW YORK—June 22, 2023—MongoDB, Inc. (NASDAQ: MDB) today at its developer conference MongoDB.local NYC announced five new products and features for its industry-leading developer data platform, MongoDB Atlas, that make it significantly faster and easier for customers to build modern applications, for any workload or use case. The new products and features include: generative AI capabilities with MongoDB Atlas Vector Search for highly relevant information retrieval and personalization, MongoDB Atlas Search Nodes for dedicated resources with search workloads at enterprise scale, MongoDB Atlas Stream Processing for high-velocity streams of complex data, significant scaling and efficiency improvements for MongoDB Time Series collections, and new capabilities using MongoDB Atlas Data Federation for querying data and isolating workloads on Microsoft Azure. Together, these new features for MongoDB Atlas enable businesses to dramatically improve operational efficiency and speed up their pace of innovation by standardizing many types of workloads on a single developer data platform across the enterprise. To learn more about MongoDB Atlas, visit mongodb.com/atlas.
Organizations today face an inflection point with the explosion of new technology like generative AI and the exponential growth of different types of data being generated in real-time. Organizations of all sizes want to be able to take advantage of new technology like large language models (LLMs) and process streams of real-time data to provide highly engaging end-user experiences and take autonomous action on that data more quickly to build new classes of applications. The choice of a database is fundamental to ensuring not only the success of an application but also how fast it can be built, deployed, and continually updated. Organizations want a unified, fully managed platform for their developer teams that makes it easy to build, deploy, and scale modern applications seamlessly.
MongoDB Atlas is the leading multi-cloud developer data platform that accelerates and simplifies building with data. MongoDB Atlas provides an integrated set of data and application services in a unified environment to enable developer teams to quickly build with the capabilities, performance, and scale modern applications require. Tens of thousands of customers and millions of developers rely on MongoDB Atlas every day so they can innovate more quickly, efficiently, and cost-effectively with modern applications for virtually every use case across an organization. As the use of MongoDB Atlas has rapidly grown, customers have asked for even more integrated capabilities to meet the growing demands of their businesses and end-users, and MongoDB is meeting that demand:
“The new MongoDB Atlas capabilities announced today are in response to the feedback we get from customers all around the world—they love that their teams are able to quickly build and innovate with MongoDB Atlas and want to be able to do even more with it across the enterprise,” said Dev Ittycheria, President and CEO at MongoDB. “With the new features we’re launching today, we’re further supporting not only customers who are just getting started, but also customers who have the most demanding requirements for functionality, performance, scale, and flexibility so they can unleash the power of software and data to build advanced applications to transform their businesses.”
LangChain is a framework designed to simplify the creation of applications using large language models. “By modularizing the components of an application powered with a large language model, LangChain aims to make the app building experience flexible, yet cohesive,” said Harrison Chase, Co-Founder and CEO, LangChain. “Similarly, MongoDB Atlas brings the database and vector store in one place—thus also providing flexibility and cohesiveness. Together, we’re a natural fit to enhance developer productivity, which has been demonstrated by the organic community enthusiasm which has already led to several integrations.”
LlamaIndex is a data framework to help customers build large language model apps. “We are excited to be partnering with MongoDB, as we share the same goal of simplifying how developers build modern apps with LLMs that are connected to external or proprietary data,” said Jerry Liu, CEO at LlamaIndex. “With the announcement of MongoDB Atlas Vector Search, developers can now easily store all the requisite data, from context chunks to indexes and vectors, in one platform while connecting it to their preferred LLM with LlamaIndex.”
Nomic is a company that helps improve AI explainability and accessibility. “MongoDB and Nomic is a powerful combination of technologies that allows you to store and search across vectors with MongoDB and visualize them with Nomic,” said Brandon Duderstadt, CEO at Nomic. “Using the two technologies together you can get a deeper understanding of your data with Nomic and then operationalize it in a battle tested platform with MongoDB Atlas.”
Beamable is a technology company that provides a full-stack, live operations platform that allows game developers to both build and operate live games with 32 games currently live and dozens more in active development. “We built our platform on MongoDB Atlas due to its workload versatility, and ability to easily scale vertically and horizontally,” said Ali El Rhermoul, CTO at Beamable. “We’ve been evaluating MongoDB Atlas Vector Search capabilities in conjunction with OpenAI Embeddings for use in generative AI applications, and were impressed by how trivial it was to set up and use. This means we and our game developer community can build novel AI-powered experiences on Beamable, with familiar technology and without expanding the technology stack.”
Pureinsights is an independent search technology and services company that partners with MongoDB to help customers deploy search-based applications on MongoDB Atlas. “We’ve been working with Atlas Vector Search while in private preview and are excited to be partnering with MongoDB to help enable this new capability for our customers,” said Kamran Khan, CEO at Pureinsights. “Being able to store and use vectors within the MongoDB Atlas platform powers new workloads and exciting AI-powered experiences that users want, like semantic search and generative answers.”
Anywhere Real Estate is the parent company of some of the world’s leading real estate brokerage brands and service businesses. “Our development teams were spending too much time doing undifferentiated work managing our previous search solution, and we are currently rolling out our new solution powered by MongoDB Atlas and Atlas Search to our brand portfolio, which includes Better Homes and Gardens Real Estate, CENTURY 21, Coldwell Banker, Corcoran, ERA, and Sotheby’s International Realty,” said Damian Ng, Senior Vice President of Technology at Anywhere Real Estate. “Atlas Search allows us to ingest data from hundreds of Multiple Listing Services sources, aggregate the data, and provide customers with a search solution that efficiently delivers accurate and up-to-date information. Since implementing Atlas Search, we’ve observed a 60 percent improvement in response time for search results, and we’re excited that MongoDB is decoupling its architecture to have dedicated nodes for Atlas Search so we can have even greater flexibility and control with our search workloads.”
Hootsuite is a global leader in social media management that powers social media for brands and organizations around the world, from the smallest businesses to the largest enterprises. “Using Time Series collections with MongoDB Atlas, we were able to build a new feature that processes and stores a high volume of streaming data without ballooning our storage costs,” said Chris Martin, Senior Software Developer at Hootsuite. “It also saved us from provisioning and maintaining a separate database built specifically for the purpose.”
MongoDB Developer Data Platform
MongoDB Atlas is the leading multi-cloud developer data platform that accelerates and simplifies building with data. MongoDB Atlas provides an integrated set of data and application services in a unified environment to enable developer teams to quickly build with the capabilities, performance, and scale modern applications require.
Headquartered in New York, MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today’s wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit mongodb.com.
This press release includes certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements concerning MongoDB’s new capabilities for MongoDB Atlas to build new classes of applications. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as “anticipate,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “project,” “will,” “would” or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: the impact the COVID-19 pandemic may have on our business and on our customers and our potential customers; the effects of the ongoing military conflict between Russia and Ukraine on our business and future operating results; economic downturns and/or the effects of rising interest rates, inflation and volatility in the global economy and financial markets on our business and future operating results; our potential failure to meet publicly announced guidance or other expectations about our business and future operating results; our limited operating history; our history of losses; failure of our platform to satisfy customer demands; the effects of increased competition; our investments in new products and our ability to introduce new features, services or enhancements; our ability to effectively expand our sales and marketing organization; our ability to continue to build and maintain credibility with the developer community; our ability to add new customers or increase sales to our existing customers; our ability to maintain, protect, enforce and enhance our intellectual property; the growth and expansion of the market for database products and our ability to penetrate that market; our ability to integrate acquired businesses and technologies successfully or achieve the expected benefits of such acquisitions; our ability to maintain the security of our software and adequately address privacy concerns; our ability to manage our growth effectively and successfully recruit and retain additional highly-qualified personnel; and the price volatility of our common stock. These and other risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission (“SEC”), including under the caption “Risk Factors” in our Quarterly Report on Form 10-Q for the quarter ended April 30, 2023, filed with the SEC on June 2, 2023 and other filings and reports that we may file from time to time with the SEC. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.