MongoDB Blog
Announcements, updates, news, and more
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
Industry Solutions
Europe Data Residency for Atlas Embedding and Reranking
Today, MongoDB is announcing the public preview of data residency in Europe and the US for the Embedding and Reranking API Service, also known as ERAS, on MongoDB Atlas. It’s a critical priority to make industry-leading Voyage AI models available wherever our customers operate, while meeting their strictest regulatory requirements. The introduction of geography-specific data residency builds on the strong foundation of MongoDB Atlas’s enterprise-grade data privacy, security, and compliance features, and will help organizations operating in Europe meet local data sovereignty requirements when building AI-powered search into their applications.
Introducing Atlas App Connections: Secure, One-Click Access for AI Tools
For builders using AI coding tools, speed is everything. Integrations that require generating a credential, filing an access request, or waiting on a custom build can stop momentum (and productivity) in its tracks.
How Indian Organizations in Regulated Industries Are Scaling with MongoDB
Scaling while ensuring regulatory compliance is a major challenge that many Indian organizations today face, particularly when operating in industries like financial services, retail, education, and aviation.
Leading Indian Organizations Are Driving India’s AI Future With MongoDB
Millions of Indians now use AI on a daily basis. It’s been said before, but the technology’s possibilities are incredible, whether you’re using AI to build an app with just a few sentences, or whether a virtual assistant is not only answering your questions but actually anticipating your needs.
Close the Database Blind Spot with MongoDB Atlas Observability
Modern applications generate more telemetry than ever before, yet one of the most critical systems in production often remains disconnected from the rest of the observability stack: the database. When incidents occur, operators shouldn’t have to jump between dashboards, stitch together signals from disconnected systems, or rely on brittle integrations just to understand what’s happening. Database telemetry should be part of the same operational picture as application and infrastructure telemetry.
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.
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.
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*.
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.
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.
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.
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.
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.
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.”
Run AI Wherever Your Compliance Framework Demands
The CTOs I talk to in regulated industries aren’t debating whether to build with AI. That decision has been made. What they're navigating is a harder question: how do you build AI at the standard your compliance framework requires, when most of the tooling was designed for environments you're not allowed to use?
MongoDB to Upskill Two Million Builders in India by 2030
Organizations across India are racing to take AI applications from experimentation to full-scale production, but the bottleneck is almost never the AI model—it's the data layer. That's why data infrastructure skills are so important to the AI economy, and it's why we're so excited to share that today at MongoDB .local Bengaluru, we announced plans to upskill two million Indian builders by 2030 through new local language initiatives and regional partnerships. The expanded MongoDB for Academia program will help equip the next generation of builders with the cloud, data, and AI skills required to scale India’s digital economy.
10 Years of MongoDB Atlas: Built for What’s Next
Nearly a decade ago, I joined MongoDB as a Senior Product Manager to help build the company’s new cloud product, MongoDB Atlas. Our customers had been telling us they wanted to bring MongoDB’s familiar developer experience to the cloud, with the reliability and confidence teams needed to run in production. Atlas was our answer.
BAAC Transforms Rural Banking With MongoDB-Powered Mobile App
One of Thailand’s largest state-owned banks, the Bank for Agriculture and Agricultural Co-operatives (BAAC), serves over 32 million customers and 7 million farmer households across Thailand. BAAC is focused on rural development, and the bank provides essential funding, knowledge, technology, and value-added services to Thai farmers.