Introducing the Industry Solutions blog channel! Whether you operate in Financial Services, Telecommunications, Retail, or Manufacturing, you can now explore specific use cases and data architectures to accelerate time-to-market and drive competitive advantage. Explore the channel and find insights tailored to your sector: mongodb.social/6016B84C5q

MongoDB is now available in the Grok Build Plugin Marketplace! You get: - Agent Skills for MongoDB workflows and best practices - MCP Server for real-time, context-aware guidance See it in action.👇

☁️ @imagineagi's @skygodkingdom and @neo_lky work with some of the world's biggest companies, and their edge comes down to one thing: knowing exactly who to reach and having the data infrastructure to act on it fast. Their relationship graph spans people, companies, and connections across multiple layers, and MongoDB handles all of it without the schema overhead that slows most teams down.

What shipped last month? "Between Two Leaves" is back with a very special MongoDB.local London edition. Thibaut Gourdel and Nic Raboy take you through MongoDB 8.3, automated vector embeddings, massive infrastructure updates, and even a live demo. Watch the full episode 👉 mongodb.social/6010B84A5i

Last year was packed. This year will be bigger. MongoDB.local Bengaluru returns on 30 June with hands-on workshops, AI insights, technical deep dives, and a community of builders shaping what's next. Don't just watch the recap. Be part of the next one. 💥👉 Use code MDBSocialBLR26 to request your spot. mongodb.social/6010B82N8o

⚡ In agentic workloads, performance gains compound. MongoDB 8.3 delivers up to 45% more reads, 35% more writes, 15% more ACID transactions — without changing a line of application code. Learn more from our Senior Director of Database Product Management, Osmar Olivo.

Arek Borucki started with a MongoDB University course and ended up as an ML Engineer at @huggingface. 🧑‍💻 What he shared about scaling MongoDB in production applies to your stack right now.👇

Most agent failures are actually data failures. Teams keep tuning prompts, swapping models, and adding guardrails when the real issue is data that isn't retrieval ready, stale context, or workflows that can't maintain state. MongoDB Field CTO Pete Johnson breaks down the three layers where these systems actually fail: mongodb.social/6016B8WBro

"No matter what AI workload you run, you always need LLMs, a harness, and a data layer." That's MongoDB President and CEO @cj_mongodb on @Bloomberg Open Interest, making the case that the data layer is where agentic AI lives or dies, and that it has to scale as those workloads scale. MongoDB added 2,500 new customers last quarter, with frontier labs and AI-native companies like @ElevenLabs already building on MongoDB as their data layer. Watch the full conversation with Dani Burger → mongodb.social/6018B8lCkC

How long does it REALLY take to earn our new Gen AI Skill Badges? We put it to the test at MongoDB.local London. Can you beat her time? 👀 Start earning now: mongodb.social/6012B8b0be

“Lift and shift” isn’t modernization. Today’s applications need to be modular, AI-ready, and built for real-time decision-making. Legacy systems can’t keep up with the demands of always-on consumer experiences. Hear how organizations in APAC are modernizing faster, scaling in real time, and reducing the cost of maintaining legacy infrastructure in our newest report with @IDC: mongodb.social/6019B8bxb7

May was a busy month for our MongoDB Community members and startups! 💚 A BIG congratulations to: MongoDB Champion of the Month - Abirami Sukumaran MUG Leaders of the Month - Brice Fotzo and Abdul Rahman Masri Attal Creator of the month - Matteo Rossi Startup of the month - Pawbud Read more about our winners: mongodb.social/6014B8iHTn

.@MongoDB just reported a strong first quarter. Total revenue reached $688 million — up 25% year-over-year — driven by four consecutive quarters of more than 29% growth from Atlas. We’re seeing momentum across many of our AI products: MCP server usage is growing significantly, @VoyageAI customers have more than doubled quarter-over-quarter, and Vector Search adoption is far outpacing overall company growth.

MongoDB just announced Q1 FY2027 earnings. Highlights include: 📈 Total revenue of $687.6M, a 25% increase YoY ☁️ A 29.4% YoY increase in Atlas revenue, accounting for 75% of total Q1 revenue 🤝 2,500 additional customers for a total of more than 67,700 customers Read more here: mongodb.social/6015B8w8yT

Meet PlanPass AI - the winner of the Agentic Evolution Hackathon at MongoDB.local London! In the UK, navigating building compliance for house design can be incredibly complex for builders and developers. PlanPass AI uses an agentic workflow to: -Scrape local council documents based on your post code to build a real-time "compliance intelligence" engine -Create a summary of the probability of approval by the local council before you even submit Create a summary of the probability of approval by the local council before you even submit -Download your designs as PDFs or DXF files for AutoCAD Powered by MongoDB and LangChain, PlanPass AI ensures your designs are fully compatible with UK building standards from day one. Congratulations to our winners @RrekhaA, @david9887_, and Rostam Sodagari on the win, and to everyone who came out for the hackathon! 🏆 Watch the full pitch from MongoDB.local London 👉 mongodb.social/6016B8ZRlI

After talking to hundreds of customers and startups, @cj_mongodb sees three things that will hold in the AI wave: the model layer, the data layer, and the agent layer. 🎥 Watch the full interview with @HarryStebbings to learn why MongoDB is built to serve as the long-term memory and reasoning layer for the agentic era: mongodb.social/6015B8XifH

In every tech transformation, something changes. But one thing has stayed constant. Our President & CEO Chirantan @cj_mongodb joined @HarryStebbings of @20vcFund to discuss why data remains the constant across every major technology shift — from mainframes, to cloud, to AI. Watch the full conversation: mongodb.social/6017B8VcEb