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

Dan Kostecki from @AmbryGenetics at Collate Summit '26. OpenMetadata at the core of Ambry's clinical genetics data product lifecycle: domain alignment, automated quality, lineage, PHI-free production environment. June 10 | Free: buff.ly/y8pFWiw #OpenMetadata #DataEngineering #DataGovernance #CollateSummit #ContextLayer

Before you deploy an AI agent, ask yourself one question: Does your data have an agreed-upon meaning that a machine can actually read? If the answer is no, the agent will guess. Every time. Semantic intelligence is the trust layer that fixes this. It turns metadata into machine-readable context that both humans and AI can rely on. At @CollateData Summit, we're going deep on how to build it. June 10. Free. 🔗 buff.ly/HcxGymJ #SemanticIntelligence #AI #DataGovernance

Amy Forest, Software Engineer on @Yelp's Core Data Platform, is speaking at Collate Summit. At Yelp's scale, data trust isn't a nice-to-have. It's infrastructure. Amy's sharing what building that foundation actually looks like, from inside one of the most data-intensive consumer platforms in the world. June 10. Free. 🔗 buff.ly/HcxGymJ #CollateSummit #SemanticIntelligence #ContextLayer #AIinProduction

This Wednesday at 11 AM PDT, our CEO & Co-Founder @suresh_m_s is on stage with @DataSciConnect. The question on the table: as enterprises push AI into production, how do you ensure outputs reflect the right data, tone, and constraints, every time? It's a context architecture question. And the answer is becoming foundational to trustworthy AI. Free. One hour. Worth it. Register here 👉️ buff.ly/7qGVSx3 #ContextLayerAI #DataScienceConnect #SemanticIntelligence #RAG #GenerativeAI #AIAgents #DataGovernance #OpenMetadata

A data steward opened Ontology Explorer for the first time. Two minutes in, she spotted it: Three definitions of Revenue (Finance, Sales, Product) with zero formal relationships between them. Every version was being used downstream, feeding different answers into the same questions. She resolved it on the canvas: → Marked Finance as the authoritative definition → Declared equivalence to the Sales and Product versions → Tagged GDPR governance once at the concept level, which propagated automatically to all 847 implementing assets That's the difference between maintaining a flat glossary and governing an ontology. 🗺️ OpenMetadata 1.13 Ontology Explorer is your entire business vocabulary as an interactive graph, with term hierarchies, cross-domain connections, and a Data Mode that traces every term to the data that implements it. Ontology Explorer surfaces coverage gaps instantly. If your catalog has 34 glossary terms with zero relationships, opening the graph makes them visible immediately. Read the details: buff.ly/vHOJftu #Ontology #KnowledgeGraph #SemanticContext #DataGovernance #OpenMetadata

Hallucinations aren't a model problem. They're a context problem. When AI systems don't have access to the right data, the right tone, and the right constraints at the right time... they guess. Next Wednesday, our Co-Founder & CEO @suresh_m_s is breaking down how leading teams are solving this, with context-aware architecture built for production. The Context Layer: The Emerging Stack for Context-Aware AI 📅 Wed May 13 | 11 AM–12 PM PDT 🎙 @DataSciConnect Joining Suresh: Andreas Blumauer from Graphwise and Donald Spaulding from @Verizon. Free to attend 👇 🔗 buff.ly/7qGVSx3 #ContextLayerAI #DataScienceConnect #SemanticIntelligence #AIAgents #GenerativeAI #DataGovernance #OpenMetadata #AIArchitecture

Keynote: "Inside OpenAI's Internal AI Data Agent" @OpenAI built a an AI data agent on @open_metadata's context layer. Tens of thousands of tables, hundreds of petabytes. Any employee: question to insight in minutes. Bonnie Xu (Data Productivity, OpenAI) at Collate Summit '26 | June 10 | Free Register: buff.ly/zRbLuhJ #CollateSummit #DataGovernance #AIAgents #ContextLayer

Pick any table in your catalog. Try listing, in under a minute, every team that depends on it, every glossary term it maps to, and everything that breaks if the schema changes. Most people can't. That's why we built the new Knowledge Graph visualization. 🔮 OpenMetadata 1.13 renders the full relationship context of any asset in a single interactive view: → Ownership, teams, and domain context → Schema hierarchy, upstream sources, and downstream consumers → Business semantics, plus relationships inferred automatically from your metadata Built on open W3C standards (RDF, OWL, DCAT, DPROD, SKOS, PROV-O, Schema.org) for portability and interoperability. Every AI agent that queries your data, including those through MCP, reasons from the same semantic context graph of ownership, lineage, and glossaries. See your entire data ecosystem in one view instead of digging through spreadsheets and Slack threads. Read the details: buff.ly/EeLgSLB #KnowledgeGraph #SemanticContext #DataGovernance #AIAgents #OpenMetadata

@suresh_m_s just got off the Data Summit stage, where he made the case that AI doesn't fail because of bad models. It fails because the data underneath has no shared meaning. Tonight? An evening of exactly that conversation. Metadata, governance, and making AI actually work in production at the @CollateData + @open_metadata Boston meetup. Good conversations don't stop when the conference ends. 🎟 Still time to join us: luma.com/ewm14xmh #DBTA #DataSummit2026 #OpenMetadata #SemanticIntelligence #DataGovernance #AI #Boston #DataEngineering #DataCommunity

Good read from @ITBrew on the infrastructure-to-CIO path. @suresh_m_s of @CollateData on what the mindset shift actually looks like. buff.ly/lge8kgy #OpenMetadata #DataEngineering #TechLeadership

Cirene Simon Simbahan from @UnionBankPH at #CollateSummit. Scaling Data Products & Governance at a Digital-First Bank Rolling out to hundreds of users from data, risk, audit, and compliance teams. Automated lineage, data quality across 38K+ assets with @Snowflake + @awscloud SageMaker + Quicksight in production. June 10 | Free | buff.ly/zRbLuhJ #OpenMetadata #DataEngineering #DataGovernance #DataProducts

Tomorrow at 3:15 PM ET, @suresh_m_s takes the stage at Data Summit. Spoiler alert: AI doesn't fail because of bad models. It fails because the data underneath has no shared meaning. Come hear the fix live. Then join us tomorrow evening for the @Collatedata + @open_metadata Boston meetup 🍷 RSVP Here 👉️ luma.com/ewm14xmh #DBTA #DataSummit2026 #OpenMetadata #SemanticIntelligence #DataGovernance #AI #Boston #DataEngineering #GenAI

Boston week is here 👋 We're en route to Data Summit 2026! Two full days of modern data architecture, GenAI, semantic layers, and the people actually building this stuff. Don't miss our Co-Founder & CEO @suresh_m_s on Wednesday at 3:15 PM ET for his live discussion, "The Missing Layer: How Semantics & Metadata Connect People, Data & AI." Then that evening, join us at the @CollateData + @open_metadata community meetup. Come for the conference, stay for the conversation. Two events. One awesome city. One very good week. 🎟 Meetup RSVP: luma.com/ewm14xmh 🔗 DBTA Summit: buff.ly/72RVnXv #DBTA #DataSummit2026 #OpenMetadata #SemanticIntelligence #DataGovernance #AI #Boston #DataEngineering #GenAI #DataArchitecture

Stuck on setup, connectors, or a specific use case? Drop by OpenMetadata Office Hours tomorrow for direct help from the team and community. 🙋 Troubleshoot issues with engineers 🔧 Get guidance on connectors & deployment 💡 Sanity-check your use cases and ideas Quick, practical, and hands-on - come get unblocked! Sign up here 🚀 buff.ly/cG1e5UI #dataengineering #metadata #openmetadata #datacommunity

@CollateData engineer, Teddy Crepineau, recently became a maintainer for sqlalchemy-redshift and has been driving new developments on the popular Python package, a critical dependency for my open-source projects, including @OpenMetadata! You can read more about Teddy's work and sqlalchemy-redshift v1.0.0 in our blog here: buff.ly/nN4CN0d #OSS #OpenMetadata #redshift #sqlalchemy #python

Dan Kostecki @AmbryGenetics at Collate Summit '26. 🧬 Running @CollateData, powered by OpenMetadata through a biotech M&A: merging data models, building shared governance, and deploying AI agents for clinical queries. June 10 | Free | Register 👉 buff.ly/rg7UBrd #OpenMetadata #DataGovernance #DataQuality #AIAgents

Context isn't a luxury for production AI. It's a requirement. On May 13, @suresh_m_s is joining Andreas Blumauer from Graphwise and Donald Spaulding from @Verizon for a @DataSciConnect webinar on the emerging stack for context-aware AI. What you'll learn: → What the context layer actually looks like; vector databases, memory systems, orchestration, policy enforcement → How context-aware design reduces hallucinations by constraining outputs to known, verifiable sources → When to use retrieval vs. memory, and how to balance both at scale → How to integrate domain-specific knowledge and compliance rules directly into AI interactions Free. Virtual. May 13 | 11 AM–12 PM PDT. Register👇 🔗 buff.ly/7qGVSx3 #ContextLayerAI #DataScienceConnect #RAG #AIAgents #SemanticIntelligence #DataGovernance #OpenMetadata #GenerativeAI #AIArchitecture #LLM

Announcing OpenMetadata 1.13: Semantic Context for AI-Ready Data Teams 🧠 Your AI agents understand your schemas. But do they understand your business? We've shipped the open-source semantic context layer that makes your business understanding visible and machine-readable, so AI agents built on OpenMetadata reason from structured data rather than guessing from column names. Highlights: 🧠 Knowledge Graph: New visualizations unifying technical metadata (schemas, lineage, ownership) with semantic metadata (glossary terms, classifications) into one interactive graph. Navigate your data estate from business concept to data asset in a single view. Supports open W3C standards (RDF, OWL, DCAT, DPROD, SKOS, PROV-O, Schema.org), so your semantic context is portable and interoperable rather than locked to a single vendor. Every AI agent, including those through MCP, reasons from the same semantic context graph for more accurate business understanding. 🔮 Ontology Explorer: An interactive visual map for building, navigating, and governing your business ontology. Multiple modes (Overview, Hierarchy, Related, Cross Glossary) show how concepts relate within a glossary or across the organization. In Data Mode, trace each concept to the tables, dashboards, and pipelines that implement it, with quality scores, lineage, and ownership in context. Build relationships on canvas and save views for stakeholders. Your business vocabulary, visible and navigable. 🔗 Glossary Terms & Relations: Define how your business terms actually relate to each other, not just that they're related. Glossary terms now carry explicit, typed RDF-compatible relationships: Hierarchical (broader, narrower), Associative (part of, has part, see also), and Equivalence (calculated from, synonym, antonym). Configure cardinality, transitivity, inverse relations, cross-glossary flags, and RDF predicates per relationship type. Business knowledge that lived in people's heads now lives in the platform. Even more innovations: • Columns as Assets surfacing as first-class discoverable assets throughout the platform • New connectors in open source: Google Drive, Microsoft Fabric Database, Microsoft Fabric Pipeline, plus BurstIQ, SSRS, Google Pub/Sub, Airflow REST API, Matillion Data Cloud, and expanded MCP support New in Collate's managed OpenMetadata service: • Collate AI Analytics (AI data analyst for exploratory analysis) • Hybrid Search • Governance Workflow state-transition triggers • Metadata Exporter Trino support • Connectors for Informix and Microsoft Access We started by standardizing metadata. Now we're standardizing meaning. Read the full launch blog: buff.ly/Rvduzcz ⭐ Star the OpenMetadata GitHub repo to support open source innovation! #SemanticContext #KnowledgeGraph #DataGovernance #DataEngineering #OpenMetadata

Our next Data30 is next Wednesday, May 6th at 9 AM PT. Session 6: From Metadata to Meaning — RDF & Ontologies Most organizations have metadata. Very few have meaning. In 30 minutes we'll show how @CollateData uses semantic technologies- RDF and ontologies, to transform raw metadata into a unified knowledge graph that AI agents can actually reason over. → How ontologies define the structure and meaning behind your data → How the semantic layer bridges technical systems and business concepts → What this looks like in practice for AI copilots, data discovery, and governance This is the context layer AI needs to stop guessing and start understanding. Register to join live 👇 🔗 buff.ly/awefi6V #Data30 #OpenMetadata #SemanticIntelligence #DataGovernance #Ontology #KnowledgeGraph #AIAgents #DataEngineering

The @CollateData Summit '26 speaker lineup is something else. Bonnie Xu — @OpenAI Amy Forest — @Yelp Lukas Patzke — @Airbus Angelita Frozza Sanches — @Scout24 Muqtafi Akhmad — @Rakuten Andrew Ford — @AO Dan Kostecki — @AmbryGenetics Jeppe Johansen — @Unity Cirene Simbahan — @unionbankph Suresh Srinivas + Sriharsha Chintalapani — @CollateData Practitioners. Not analysts. They're sharing what production actually looks like. June 10. Free. Virtual. 🔗 buff.ly/HcxGymJ #CollateSummit26 #OpenMetadata #DataGovernance #DataEngineering #ModernDataStack #DataCommunity #AIReadiness #VirtualEvent