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How we compare

Choose the operating model that fits.

A source-linked comparison across open-source and commercial data catalog, governance, lineage, and quality platforms. It separates software licensing from infrastructure and implementation effort.

MIT FastDataGov licence6 platforms reviewedOfficial vendor sources
Capabilities and delivery models checked against official product documentation on 9 August 2026.
Platform Source / delivery Best fit Lineage Quality Governance Consider
FastDataGov
Source & licence ↗
MIT · self-hosted Teams wanting a focused, business-friendly governance layer with a small Python/PostgreSQL operating surface Snowflake table + column evidence, impact analysis, and manual gap capture Scheduled source-side SQL/Python checks, trends, issues, and trust scores Owners, stewards, attestations, certifications, work queues, glossary, data products, and audit Newer connector ecosystem; Fabric and Databricks transports are contract-ready rather than generally available
OpenMetadata
Official features ↗Licence ↗
Apache 2.0 · self-hosted / Collate Teams seeking a broad metadata, discovery, governance, quality, and observability platform Table and column lineage across databases, pipelines, dashboards, and dbt Profiling, tests, alerts, and observability integrated with catalog context Glossary, classification, domains, data products, RBAC, collaboration, and metadata versioning Broader platform and connector estate means a larger deployment and operating footprint
DataHub
Official docs ↗Licence ↗
Apache 2.0 · self-hosted / DataHub Cloud Platform engineering teams prioritising an extensible metadata graph and a large integration ecosystem Automated table and column lineage with upstream/downstream impact analysis Profiles, assertions, anomaly detection, incidents, observability, and data contracts Search, ownership, domains, glossary, policies, classifications, forms, and APIs/SDKs The full open-source stack includes several services such as GMS, search, database, and Kafka
Atlan
Official product ↗
Commercial SaaS Enterprises wanting a managed active-metadata and AI context platform with a broad connector catalogue Automated cross-system, column-level lineage with propagation and in-line actions Quality signals and governance context brought together through platform apps and integrations Data marketplace, policies, classifications, business context, workflows, and context agents Commercial subscription and vendor-managed operating model; no public open-source platform edition
Collibra
Official product ↗
Commercial platform Large enterprises needing a mature governance operating model, catalog, marketplace, lineage, and quality portfolio Technical lineage and impact context integrated into catalog assets Profiling, samples, data quality context, and dedicated quality capabilities Stewardship operating models, policy, privacy, marketplace, catalog, and extensive integrations Enterprise procurement and implementation model; no public open-source platform edition
Alation
Official product ↗
Commercial platform Enterprises prioritising established catalog adoption, discovery, governance, and business-user search Technical and business lineage from sources through pipelines, reports, and downstream use Quality indicators, trust flags, endorsements, and partner/source quality context Catalog, glossary, policies, stewardship, usage context, recommendations, and trust signals Commercial platform with quote-led adoption; no public open-source platform edition

The matrix describes public product capabilities and delivery models, not a benchmark or guarantee. Validate connector depth, security, scale, service levels, and total operating cost against your own requirements.

FastDataGov's position

Business accountability without a heavyweight control plane.

FastDataGov is strongest when Snowflake is the first production platform, business users need clear stewardship and ownership workflows, and teams value an inspectable Python/PostgreSQL stack. Choose a broader platform when immediate coverage across a very large connector estate matters more than a compact implementation.

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