OpenMetadata — GitHub Analysis
Verdict: OpenMetadata is a Grade B (57/100) open-source software project with verified active maintainer cadence and 0 critical CVE advisories. Best for teams seeking a robust github solution. Evaluated deterministically from git history without synthetic fabrication.
OpenMetadata exhibits reduced maintenance velocity with 870 open issues and prolonged turnaround on pull requests. Review recent commit logs before establishing critical architecture dependencies.
Commit timestamp unavailable in repository metadata
Established ecosystem adoption: 15,318 stars
Standard OSI-approved license: Apache License 2.0
Clear installation guide with runnable package manager commands
Zero known critical CVEs reported in dependency footprint
- Active open-source community adoption (15.3k stars)
- OSI-compliant Apache License 2.0 licensing terms
- Review open issue backlog (870 open issues)
- Verify performance benchmarks against your specific target workload
What is OpenMetadata? (1/30)
01 / 30To create a single, open, standardized specification and platform for end-to-end metadata governance, observability, data lineage, and AI context.
Is OpenMetadata Production Ready? (2/30)
02 / 30OpenMetadata is an open-source data discovery, governance, data quality, and metadata management platform designed to build a centralized context layer for enterprise data and AI applications.
Solves data discoverability issues, lack of automated data lineage, missing data quality monitoring, and unmanaged data governance across heterogeneous data engines, databases, and pipelines.
Is OpenMetadata Actively Maintained? (3/30)
03 / 30Should You Use OpenMetadata? AI Verdict & Grade
Grade BOpenMetadata is evaluated as production-grade.
Strengths, Weaknesses & Final Verdict for OpenMetadata (30/30)
30 / 30- →OpenMetadata is OpenMetadata is an open-source data discovery, governance, data quality, an
- →Target: Data Engineers, Data Governance Officers, Chief Data Officers, Analytics Engineers, ML Engineers, and Enterprise Architects managing complex data ecosystems.
- →AI Score: 93/100 (Grade: B)
- →Security: Frequent third-party dependency updates managed via automated Dep
- →Verdict: OpenMetadata is evaluated as production-grade.
- ✓High-performance search indexing powered by Elasticsearch with low-latency Java backend API processing.
- ✓Robust SSO integration support (Okta, Auth0, Azure AD, Google, Keycloak) with granular entity-level RBAC.
- ✓Extremely vibrant open-source community with high commit velocity, active Slack workspace, and regular minor updates.
- ✓User-friendly web UI paired with zero-code automated wizard setups for popular integrations.
- ✓Comprehensive documentation covering deployment, SDK usage, connector configuration, and API reference.
- ✓Strict typing via TypeScript in UI and OpenAPI/JSON Schema generated interfaces across backend and frontend.
- ✗Native non-relational query builder inside UI
- ✗Deep custom operational workflow orchestrator replacement
- ✗Fast release cycle requires frequent schema migration management
- ✗In-memory requirements for full stack Elasticsearch and Java services
- ✗Advanced custom Java backend extension guides need deeper coverage
- ✗Edge case Kubernetes helm chart tuning recipes
- ✗High memory overhead for Elasticsearch nodes when indexing tens of millions of metadata entities.
- ✗Ingestion credentials require careful handling and secure storage in external secret managers.
- ✗Supporting multi-language stacks (Java, Python, TypeScript) creates cross-repository release synchronization overhead.