OpenMetadata vs IBM watsonx.data

OpenMetadata8.2Visit IBM watsonx.data7.8Visit

Higher score OpenMetadata #5 in Machine Learning Data Catalog Software 8.2/10 Open source ✓ 0 of 4 features Visit OpenMetadata

vs

IBM watsonx.data #8 in Machine Learning Data Catalog Software 7.8/10 Paid ✓ 0 of 4 features Visit watsonx.data

• OpenMetadata fits best

  Open-source teams needing broad cataloging

• IBM watsonx.data fits best

  Hybrid lakehouse governance deployments

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Side by side

Feature	OpenMetadata 8.2/10 Visit ↗	IBM watsonx.data 7.8/10 Visit ↗
At a glance
Editor score	8.2	7.8
Ranking	#5 in Machine Learning Data Catalog Software	#8 in Machine Learning Data Catalog Software
Best for	Open-source teams needing broad cataloging	Hybrid lakehouse governance deployments
Pricing model	Free	Paid
Starting price	Open source	$83.30/mo
Free plan	Not checked yet	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web
Support	Community, Docs	Tickets, Community, Docs
Integrations	130+ integrations	8 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features OpenMetadata 0/4 · IBM watsonx.data 0/4
ML data lineage	Not checked yet	Not checked yet
Dataset versioning	Not checked yet	Not checked yet
Data quality checks	Not checked yet	Not checked yet
Access policy controls	Not checked yet	Not checked yet
Specs
ML asset coverage	Not checked yet	Not checked yet
Deployment	Not checked yet	Not checked yet
Our review
Pros	Tracks lineage across tables, columns, pipelines, dashboards, and reports Supports scheduled metadata ingestion from connectors Offers REST APIs, SDKs, events, and webhooks	Catalogs Iceberg, Hive, Hudi and Delta Lake with ACID support Governance includes access controls, policies and lineage Supports SaaS, BYOC and on-premises hybrid deployment
Cons	Managed enterprise capabilities are a separate Collate offering Support channels are community and documentation Self-hosted deployment means managing the deployment environment	It is a broad lakehouse platform, not a focused ML data catalog Streaming ingestion through Spark Stream is experimental, not for production Usage pricing varies by deployment, region and resource configuration
Our verdict	OpenMetadata is an open-source metadata platform for data teams and organizations managing complex data ecosystems. It combines metadata discovery and cataloging with governance, data quality, observability, semantic context, and lineage.… Read the review →	IBM watsonx.data is an open, hybrid data lakehouse platform for organizations that need to connect, query, govern and optimize data across cloud, multicloud, SaaS, client-managed VPC and on-premises environments. It separates compute,… Read the review →

Strengths and trade-offs

• OpenMetadata — where it wins

  • Tracks lineage across tables, columns, pipelines, dashboards, and reports
  • Supports scheduled metadata ingestion from connectors
  • Offers REST APIs, SDKs, events, and webhooks

  Where it doesn't

  • Managed enterprise capabilities are a separate Collate offering
  • Support channels are community and documentation
  • Self-hosted deployment means managing the deployment environment

• IBM watsonx.data — where it wins

  • Catalogs Iceberg, Hive, Hudi and Delta Lake with ACID support
  • Governance includes access controls, policies and lineage
  • Supports SaaS, BYOC and on-premises hybrid deployment

  Where it doesn't

  • It is a broad lakehouse platform, not a focused ML data catalog
  • Streaming ingestion through Spark Stream is experimental, not for production
  • Usage pricing varies by deployment, region and resource configuration

• OpenMetadata8.2/10 · Open source

  A broad open-source catalog for teams that need lineage and metadata across data systems.

  Visit OpenMetadataFull verdict →
• IBM watsonx.data7.8/10 · Paid

  A hybrid lakehouse with broad catalog and governance coverage for AI and analytics.

  Visit watsonx.dataFull verdict →