Treemaps, one of the most requested chart types, are now native.
We also shipped 2FA. Admins turn it on from Authentication settings, and everyone sets up their own from their account.
Metabot now works with OpenAI, AWS Bedrock, and Azure on top of what was already there. Pick whichever LLM you're already paying for. Plus a new feature with our MCP
In v60, we added AI features to all plans, including Open Source. With v61, we give you the controls for AI governance that make it yours to deploy safely.
Some call it the Fun Police. We prefer: AI that s realistic for orgs of all types to roll out, including those who need tighter oversight over who gets to use it (bit of a mouthful though).
AI analytics is only as good as the context you give it. Without a semantic layer - a unified, shared definition of metrics, segments, and business logic - AI (and everyone else) is guessing at what "active user" or "revenue" means at your company.
Data Studio is the analyst workbench where that foundation gets built. Define metrics once. Transform raw tables using SQL or Python. See dependencies before changing anything. Publish what's trusted to your Library. Then get reliable answers from AI
Big news: We've made AI available on all plans, no markup, no lock-in, full control.
Just bring your model and start talking to your data with Metabot, or building AI-powered workflows. That's not all, to celebrate, we also released several new AI goodies:
Official MCP server
Metabot in Slack
AI Agent Skills
And a lot more: https://www.metabase.com/release...
You've got data your customers want. Building analytics yourself is cool if you've got months and a few devs you want to punish. Embedding Metabase is faster and simpler. From simple charts to reporting tools anyone can use, customized to match your UI.
Metabase is the easy, open source way for anyone in your company to ask questions or learn from data. Now you can easily set up Metabase for your company without being an engineer with Metabase Cloud.