OpenMetadata

Announcing OpenMetadata 1.12: Standardize Quality Rules, Simplify Deployment, Embrace Open Standards 🚀 How many different ways has your organization written the same data quality test? We've released powerful capabilities that centralize test logic, eliminate Airflow complexity, and embrace industry standards—making OpenMetadata more accessible, standardized, and interoperable. Highlights: 📚 Data Quality Test Library - Define SQL-based test templates with parameters once, apply them everywhere without rewriting queries. Admins create reusable templates through a GUI; users apply them through simple forms—no YAML required. When "ARR must exceed $10k" means the same thing across every table, governance becomes achievable. Ad-hoc testing out, standardized enforcement in. ☸️ Kubernetes Orchestrator - Deploy OpenMetadata without Airflow dependency using Kubernetes as the native scheduler. Infrastructure simplified from four components to three (application server, database, search index). Leverage clusters you already run, eliminate deployment friction. Cloud-native deployment, simpler operations. 🔗 Open Standards Support - Import and export ODCS 3.1 data contracts. Ingest OpenLineage metadata from Flink, Spark, Airflow, and other compatible systems. OpenMetadata's richer semantic model remains a superset while enabling interoperability. Best-of-breed tools, no vendor lock-in. Even more in OpenMetadata 1.12: Human & AI Audit Logs with six-month retention • Column Bulk Operations for unified governance across asset types • Lineage improvements with column filtering, edge highlighting, and faster SQL parsing • Explore Page Sidebar for quick metadata access • Metadata Exporter for change tracking • Data Contracts at Data Product level • New connectors: StarRocks, SFTP, Redshift Serverless Collate 1.12 managed service additions: AI Studio for agent customization • Collate AI SDK for programmatic access • Auto Classification with Custom Recognizers • Data Diff Column/Row Analysis • GitHub Metadata Sync • AskCollate enhancements with MS Teams • Microsoft Fabric, Dremio, and MuleSoft connectors Ready to standardize quality and simplify deployment? Read the full launch blog: buff.ly/sHYY6sC ⭐ Star the OpenMetadata GitHub repo to support the project! #DataQuality #OpenSource #DataGovernance #Kubernetes #OpenMetadata #Collate

Please join us next Wednesday, 3/25 @ 9 AM PST, for the OpenMetadata Monthly Community Meeting as we present "**Knowledge Graphs & Ontologies in OpenMetadata**" Join us as we introduce new semantic web standards for linked metadata and knowledge graphs. Plus, look out for a demo of MCP Toolbox, an open source MCP server for databases developed by Google, and how it can be combined with OpenMetadata to build better agents for services like Looker! buff.ly/GpjT1h5

Data quality testing has been significantly upgraded in OpenMetadata 1.12. If you have ever written a custom SQL query for a data quality check, copied it 50 times for different tables, and then tried to explain to business users how to run it... you know the pain. The new Test Library changes the game. Here is what it does: • Turns your custom SQL into reusable test templates with dynamic variables • Makes those tests available to business users through a simple UI (no code required) • Gives you control over which tests are enabled across your organization The demo shows a column-level test built with {{table_name}} and {{column_name}} variables that resolve at runtime, along with a custom parameter that users can set when applying the test. Apply it once, scale it everywhere. Data quality should not require a computer science degree to implement. This is how you make it accessible. 🎥Watch and see: buff.ly/wPb1Xoj #DataQuality #DataGovernance #DataEngineering #OpenSource #DataManagement

RATP built their enterprise metadata platform on @CollateData, powered by OpenMetadata 14 data products, 12 business domains, live AI programs across Paris's entire transit network. The lesson: semantic foundations before AI deployment, not after. Production story → buff.ly/rDGS6Ms #OpenMetadata #DataEngineering #OpenSource #AIReadiness #Metadata #DataGovernance #Semantics

The following is from OpenMetadata's February Community Meeting, held on Wednesday, February 25, 2026, @ 9:00 AM PST. Catch the next OpenMetadata Community Meetup @ buff.ly/DOUI5Kj In this video, Collate’s Pere Miquel Brull introduced Collate’s AI Studio and OpenMetadata’s new AI SDK, enabling enterprises to build, deploy, customize, and tune AI agents to their unique data environments. 🎥 Watch here: buff.ly/aMaA6n2

🚀 AI SDK is part of the 1.12 release of Openmetadata Avoid the common struggles of building AI applications that automate work for your data practitioners, especially for agents that need to understand data meaning and business context. AI SDK streamlines agent development in Python, Java, and TypeScript by providing a self-contained agent framework that leverages OpenMetadata's semantic intelligence to ensure your agents take the right action on the right data. In this demo, we show that the OpenMetadata AI SDK provides an easier way to build AI applications that leverage the OpenMetadata semantic metadata graph to understand data meaning and business context, achieving accurate results. Key takeaways: ✅ Building agents is easy with the OpenMetadata Semantic Intelligence Platform with no external dependencies 🎯 Develop any type of agent that leverages the intelligence in the OpenMetadata platform 💡 Simplify data management tasks that normally take hours and days down to minutes 🎥Watch here: buff.ly/h1bev5d #DataGovernance #AI #DataManagement #OpenMetadata #Collate

In the Community Spotlight at the February OpenMetadata Meetup, Alejandro Aboy, Author at The Pipe & The Line and Senior Data & AI Engineer at Workpath, and Erfan Hesami, Author at Pipeline2Insights and Data Engineer at Airmaster, showcased use cases for OpenMetadata’s MCP Server and discussed their experiences with OpenMetadata and other data platforms! 🎥Watch the recording here of "Building Semantically Intelligent Agents with AI Studio!": buff.ly/vjmszor

🚀 OpenMetadata v1.12 is here. Scalable custom data quality testing. Infrastructure-wide metadata consistency. Three features, one shared goal: data your team can actually trust. What's new: • AI SDK (Python, Java, TypeScript) -- invoke agents from your own workflows • Data Quality Test Library -- reusable SQL templates with dynamic variables and self-service application • Column Bulk Operations -- bird's eye view of every column, inconsistency and completeness filters, single-action bulk updates with lineage propagation Watch the full v1.12 overview: buff.ly/8PzsoZL #OpenMetadata #DataQuality #DataGovernance #MetadataManagement #DataEngineering #DataOps

This video is the OpenMetadata February Community Meetup, held on Wednesday, February 25, 2026 @ 9:00 AM PST. Catch the next OpenMetadata Community Meetup @ buff.ly/WuxJU3x At this meetup, Alejandro Aboy, Author at The Pipe & The Line and Senior Data & AI Engineer at Workpath, and Erfan Hesami, Author at Pipeline2Insights and Data Engineer at Airmaster, showcased use cases for OpenMetadata’s MCP Server and discussed their experiences with OpenMetadata and other data platforms! Then Collate’s Pere Miquel Brull introduced Collate’s AI Studio and OpenMetadata’s new AI SDK, enabling enterprises to build, deploy, customize, and tune AI agents to their unique data environments. Watch here: buff.ly/295zwGE

Starting online in 1 hour! Our next online Meetup, "Building Semantically Intelligent Agents with AI Studio!" Join us as we introduce Collate’s AI Studio, enabling enterprises to build, deploy, customize, and tune AI agents to their unique data environments. Join here: buff.ly/H4n8wn1

In < 48 hours! Attend our next online Meetup, "Building Semantically Intelligent Agents with AI Studio!" Join us as our community members, Alejandro Aboy and Erfan Hesami, will be sharing a new OpenMetadata demo with MCP! Join here: buff.ly/xXtLyQO

Please join us next Wednesday, 2/25 @ 9 AM PST, for the OpenMetadata Monthly Community Meeting as we present "Building Semantically Intelligent Agents with AI Studio!" Join us as we introduce Collate’s AI Studio, enabling enterprises to build, deploy, customize, and tune AI agents to their unique data environments. Plus, our community members Alejandro Aboy and Efran Hesami will be sharing a new OpenMetadata demo with MCP! Sign up here: buff.ly/cjSevCq

Curious how a scientist-turned-programmer became a leader in data intelligence? In this Dataversity podcast, Suresh Srinivas, CEO and co-founder of Collate, shares his journey from Yahoo's Hadoop team to founding multiple companies, including the team behind OpenMetadata, the fastest-growing open-source metadata platform. Key insights from the conversation: • Why metadata is the foundation for trusted AI, not an afterthought • How AI can bridge the gap between data governance teams and technical practitioners • Why focusing on business outcomes matters more than fixating on tools • The evolution from manual data management to AI-powered automation Suresh also discusses the three waves of data transformation: big data infrastructure (Hadoop), cloud computing, and now AI, which he believes will finally unlock data's full potential by enabling collaboration between technical teams and business users. Whether you're in data management or building AI systems, this episode offers a valuable perspective on where the field is headed. Listen to the full episode: buff.ly/wGBiwTM #DataManagement #AI #Metadata #DataGovernance

The following is from OpenMetadata's January Community Meeting, which took place on Wednesday, January 28, 2025, at 9:00 AM PST. In this video, Collate's Sriharsha Chintalapani reviewed some of our favorite features added to OpenMetadata over the past year, including improvements to data discoverability, observability, and governance, new AI features, updates to the OpenMetadata platform, and new integrations, before previewing some new features that are coming soon! 🎥Watch here: buff.ly/kUFyM2m

The following is from OpenMetadata's January Community Meeting, which took place on Wednesday, January 28, 2026, at 9:00 AM PST. In this video, Collate’s Pere Miquel Brull previews OpenMetadata’s upcoming Kubernetes Scheduler, simplifying the deployment and management of OpenMetadata environments. Thanks, Pere! 🎥Watch here: buff.ly/ciYGQil

The following is from OpenMetadata's December Community Meeting, which took place on Wednesday, January 28, 2026, at 9:00 AM PST. In this month's Community Spotlight, Sapir Hirshberg joined us! Sapir is a Senior Data Product Manager in the Wix data org, focusing on data management and BI tools. Her team uses OpenMetadata (OMD) to strengthen data asset management, governance, and quality, and to make trusted data easily discoverable and usable for both human users and AI agents. 🎥Watch here: buff.ly/A5lANnk

Open semantic standards matter most when they’re open, practical, and shaped by real-world use. OSI is an important step toward shared, vendor-neutral semantic metadata across data and AI systems.

The data catalog category is dying — and for good reason. While most cling to search and discovery, the world moved on. In just 30 minutes: ⚰️ The Catalog Trap: Learn why organizations investing in traditional catalogs are buying solutions designed for 2015's problems with 2025's budgets 🚀 Metadata Intelligence Platforms: Discover the architectural paradigm replacing catalogs — unified systems where discovery, quality, governance, and AI operate on shared semantic foundations When: Feb 4, 2026 - 9:00 AM PST Register for Data30 here: buff.ly/4F7zhfw

Remember the panic when bad data hit your CEO's dashboard? Part 2 of our Data Quality as Code series shows you how to prevent that. The old workflow was reactive: Load → Test → Discover problems → Scramble to fix (damage done) The new workflow is proactive: Transform → Validate → Stop if wrong → Only clean data reaches production Here's what changes: FOR DATA ENGINEERS: Quality checks live right in your pipeline code. When tests fail, you decide: stop processing, rollback, filter bad records, or alert the team. FOR DATA STEWARDS: Define business rules through the UI without code. "Revenue should never be negative." "Discount percentages must be under 100%." Engineers automatically execute these in production. FOR EVERYONE ELSE: All test results in one place. When something fails, you see which dashboards are affected, who owns the data, and what it means. The best part? Works with ETL or ELT patterns. Your data stays in your infrastructure. Your security controls stay intact. Real impact: ✅ Catch issues during transformation, not days later ✅ Stop bad data at the source ✅ Share quality ownership between technical and business teams Part 2 shows you the implementation fundamentals: code examples, quick start guide, and how this integrates with your existing workflows. Available now in OpenMetadata 1.11+ and Collate's managed service. Read the full implementation guide 👇 buff.ly/tVB1GA0 #DataQuality #DataEngineering #DataOps #Shift Left

The worst data quality issues aren't the ones you catch. They're the ones that reach production first. By the time your quality tests run, bad data has already hit dashboards, influenced decisions, and eroded trust. Here's what's broken with traditional testing: ❌ Tests run AFTER data loads to production ❌ Different teams use different logic for the same checks ❌ Quality testing lives outside your development workflow We just launched Data Quality as Code to fix this. Validate DURING transformation instead of after: ✅ Define tests in Python alongside your pipeline code ✅ Stop bad data before it reaches production ✅ Centralize definitions while executing locally The paradigm shift: Traditional: Extract → Transform → Load → Test ⚠️ DQ as Code: Extract → Transform → Test → Load ✅ When tests fail, you decide: stop processing, rollback, filter bad records, or alert. Bad data never reaches downstream consumers. Available now in OpenMetadata 1.11+ and Collate's managed service. Read why we built this 👇 buff.ly/wy5Gv3x #DataQuality #DataEngineering #DataOps #ShiftLeft