MongoDB Blog 10 Years of MongoDB Atlas: Built for What’s Next June 25, 2026 Home Closing the Gap Between Agentic Promise and Impact with Industry Leading Retrieval A recent McKinsey report* noted that AI agents and robots “could generate about $2.9 trillion in US economic value per year,” while another study from WRITER** quantified the speed at which organizations have moved toward agents: 97% of C-suite executives surveyed indicate their companies have deployed AI agents, and 75% expect agents to become members of the C-suite in the next five years. August 13, 2026 Home MongoDB for the Agentic Era: Built for Developers and AI Agents How developers work has dramatically changed. Anthropic's 2026 Agentic Coding Trends Report* found that developers now use AI in roughly 60% of their engineering work. Coding agents are no longer just executing decisions; they're helping make them. If you’re building software today, it has to work for both humans and the agents working alongside them. August 13, 2026 Home Atlas at 10 Years: Celebrating the Customers Behind the Platform Since I joined MongoDB in March, it’s become clear that people build on MongoDB because they trust it to power what matters most. July 29, 2026 Home How Greater China Organizations Power AI And Compliance At Scale Organizations across Greater China are heavily investing in data-driven technologies to deliver innovative digital services and experiences. According to Morgan Stanley Research, AI investments in China alone could deliver a 52% return on invested capital by 2030*. July 28, 2026 Home MongoDB Atlas Delivers Greater Capacity, Reliability, and Operational Confidence Production reliability is rarely lost in a single dramatic moment. More often, it is challenged by the realities operators face every day: cloud capacity constraints that delay critical scaling operations or the need to recover a single collection without disrupting an entire environment. July 14, 2026 Home Data Sovereignty Is a Spectrum. Your Strategy Should Be Too. When organizations talk about “data sovereignty,” they are usually expressing concerns about how concrete legal and regulatory regimes apply to their workloads—from data protection laws and sectoral localization rules to requirements around exit strategies and third‑party access. July 13, 2026 Home “Hello, Community!”: Meet the 2026 MongoDB Champions! We are thrilled to announce this year’s new cohort of MongoDB Champions! July 8, 2026 Home Introducing Atlas Gen2 on AWS for M30+ Dedicated Clusters Today, we’re introducing Gen2 for Atlas M30+ Dedicated Clusters on AWS: a major step forward in performance, cost control, and infrastructure flexibility for teams running production workloads on MongoDB Atlas. July 7, 2026 Home Atlas Stream Processing Brings Operational Data to Apache Iceberg Every order placed, message sent, or sensor reading captured lands in an operational database. Analysts, data scientists, and AI teams all want that data, because the freshest signal about a business lives in the systems running it. But getting this data from the application layer to the lakehouse, continuously and at scale, has been one of the most stubborn problems in the modern data stack. July 6, 2026 Home Improving Agent Retrieval with Native Reranking and Hybrid Search In production AI, what the system retrieves shapes everything that follows. It determines whether an application surfaces the right context in the first place and how much irrelevant information gets passed to an LLM. That affects two things you care about most: answer quality and cost. July 2, 2026 Home MongoDB Search and Vector Search Now Run Anywhere MongoDB is excited to announce the general availability of MongoDB Search (full-text) and Vector Search for MongoDB Enterprise Advanced and MongoDB Community Edition. Since announcing the public preview at MongoDB.local New York last year, these milestones represent MongoDB’s commitment to ensuring developers can build intelligent, search-driven applications wherever their data lives without compromising on capability, data control, or infrastructure flexibility. July 1, 2026 Home Retrieval Accuracy Is Now a Competitive Advantage The token economy is here. And as soon as you have an economy, people start budgeting. So it’s no surprise that most conversations about AI now come back to the token budget. Teams are being asked to show the value of inference—the action phase of AI—spend and justify the cost. The answer traces back to the data that was retrieved and fed to the LLM. This step is intuitively referred to as “retrieval.” June 30, 2026 Home See more Ready to get Started with MongoDB Atlas? Start Free