MongoDB Blog
Announcements, updates, news, and more
Building Mahindra’s VehicleGPT on MongoDB Atlas
Vehicle manuals have become dense, multimodal knowledge bases: prose, diagrams, annotated photographs, safety notices, feature descriptions, and variant-specific instructions. For Mahindra & Mahindra, the challenge was not only to make that content searchable, but to make it useful inside the ownership journey.
Financial Crime Mitigation with MongoDB / Part II: Comprehensive Analysis
Welcome back to our series on Building a Financial Crime Mitigation Platform, in which we show how MongoDB ideally supports the demands from modern digital financial operations as a unified data platform. In case you missed it, be sure to check out the series overview.
Scaling Data Campaign Services for Rivian EV Fleets with MongoDB
Vehicle data campaigns are the fastest way to answer new, high-impact questions about vehicles in the field without permanently increasing baseline telemetry volume. At Rivian, campaigns must target large cohorts, route through different gateway paths for different vehicle variants, and produce results that are queryable by operational applications with predictable latency. The system also has to support multi-region high availability, high volume, high throughput, and comply with privacy and region-aware data governance regulations. This article explains what a data campaign service is, why scaling it can be challenging for automakers, and how Rivian solved those scalability challenges using MongoDB. We also share forward-looking development directions, such as using semantic search to shorten triage cycles and improve the reuse of past campaign outcomes.
Innovating with MongoDB | Customer Successes, April 2026
The energy across the tech industry is high, but it’s shifting. While the initial wave of excitement around generative AI was defined by what was possible in a sandbox, we are squarely in the era of execution. I spend more and more of my time talking to founders who are working to move past experimentation, and to build autonomous systems that handle high-stakes tasks without human intervention.
Security in the Age of AI
Everything we do at MongoDB starts with customers and we work backward from their needs. As a result, I frequently engage with customers, partners, and industry peers to proactively find new ways to collectively strengthen our defenses—ideally, long before any issues arise.
A Year of Momentum: Why MongoDB Is Winning by Collaborating with Google Cloud
Today, the race to deploy AI is at an inflection point—2026 is the year of the mandate, and making good on AI’s promise. Enterprises are no longer satisfied with chatbots; they are focused on building the next generation of AI applications: autonomous, agentic systems that can reason, act, and execute complex business logic.
LG Uplus Works With MongoDB to Expand AI Services and Modernize Architecture
LG Uplus, a key subsidiary of LG Corporation and a leader in mobile, internet, and AI transformation, today announced that it will work with MongoDB to expand the use of generative AI and accelerate its modernization strategy across the company.
Google Cloud Pub/Sub is Now Supported in Atlas Stream Processing
Atlas Stream Processing lets developers build real-time data pipelines directly within MongoDB, without stitching together separate streaming infrastructure. Today, we're extending that reach with native Google Cloud Pub/Sub sink support.