Yesterday, we welcomed 1000’s of builders and executives to MongoDB.native NYC, the most recent cease in our international .native sequence. Over the previous yr, we’ve related with tens of 1000’s of companions and prospects in 20 cities worldwide. Nevertheless it’s particularly significant to be in New York—the place MongoDB was based and the place we’re nonetheless headquartered.
Through the occasion, we launched new capabilities that advance MongoDB’s place because the world’s main trendy database. With MongoDB 8.2, our most feature-rich and performant launch but, we’re elevating the bar for what builders can obtain. We additionally shared extra about our Voyage AI embedding fashions and rerankers, which carry state-of-the-art accuracy and effectivity to constructing reliable, dependable AI functions. And with Search and Vector Search now in public preview for each MongoDB Group Version and Enterprise Server, we’re placing highly effective retrieval capabilities instantly into prospects’ environments—wherever they like to run.
I’m significantly excited concerning the launch of the MongoDB Software Modernization Platform, or AMP. Enterprises all over the place are grappling with the large prices of legacy methods that can’t help the calls for of AI. AMP just isn’t a easy “lift-and-shift.” It’s a repeatable, end-to-end platform that mixes AI-powered tooling, confirmed methods, and specialised expertise to reinvent crucial enterprise methods whereas minimizing price and danger. Early outcomes are spectacular: enterprises transferring from outdated methods to MongoDB are doing so two to 3 instances quicker, and duties like code rewriting are accelerating by an order of magnitude.
Changing into the world’s hottest trendy database
Once I replicate on MongoDB’s journey, I’m struck by how far we’ve come. Once I joined simply over a decade in the past, we had just a few thousand prospects. At present, MongoDB serves almost 60,000 organizations throughout each trade and vertical, together with greater than 70% of the Fortune 100 and cutting-edge AI-native startups.
But the rationale behind our development stays the identical. Relational databases constructed within the Nineteen Seventies had been by no means designed for the dimensions and complexity of recent functions. They had been inflexible, laborious to scale, and gradual to adapt. Our founders, who had lived these limitations first-hand whereas constructing DoubleClick, got down to create one thing higher: a database mannequin designed for the realities of the fashionable world. The doc mannequin was born.
Based mostly in JSON, the doc mannequin is intuitive, versatile, and highly effective. It permits builders to signify complicated, interdependent, and continuously altering knowledge in a pure method. And, as we enter the period of AI, those self same qualities—adaptability, scalability, and safety—are extra crucial than ever. The database an organization chooses might be one of the strategic choices figuring out the success of its AI initiatives.
Generative AI functions have already begun delivering productiveness positive factors, writing code, drafting paperwork, and answering questions. However the true transformation lies forward with agentic AI—functions that understand, determine, and act. These clever brokers don’t simply observe workflows; they pursue outcomes, reasoning about the very best steps to realize them. And in that loop, the database is indispensable. It supplies the reminiscence that permits brokers to understand context, the information that permit them to determine intelligently, and the state that may allow them to behave coherently.
Because of this an organization’s knowledge is its most beneficial asset. Giant language fashions (LLMs) might generate responses, however it’s the database that gives continuity, collaboration, and true intelligence. The way forward for AI just isn’t solely about reasoning—it’s about context, reminiscence, and the facility of your knowledge.
The best database for transformative AI
So what does the best database for agentic AI appear like? It should replicate at this time’s complexity and tomorrow’s change. It should converse the language of AI, which is more and more JSON. It should combine superior retrieval throughout uncooked knowledge, metadata, and embeddings—not simply precise matching however which means and intent. It should bridge personal knowledge and LLMs with the highest-quality embeddings and rerankers. And it should ship the efficiency, scalability, and safety required to energy mission-critical functions at a worldwide scale.
That is exactly what MongoDB delivers. We don’t merely test the containers on this listing—we outline them.
We’re solely simply getting began
That’s why I’m so optimistic about our future. The vitality and creativity we see at each MongoDB.native occasion remind me of the fervour that has at all times fueled this firm. As our prospects proceed to innovate, I do know MongoDB is within the good place to assist them succeed within the AI period.
We will’t wait to see what you construct subsequent.
To see extra bulletins and for the most recent product updates, go to our What’s New web page. And head to the MongoDB.native hub to see the place we’ll be subsequent.
