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MIT-licensed data governance

Know which data to trust — and why.

FastDataGov turns technical metadata into a shared business workspace for discovery, lineage, quality, stewardship, ownership, and reusable data products.

MIT licensedSelf-hostedPostgreSQL coreAdapter-first
Trust overviewLive
Catalog coverage96%Across connected sources
Quality score94.5+2.1 this quarter
CertifiedDaily revenueSnowflake · Finance99.1
Needs attentionSupport caseSnowflake · Customer78.0
Ready to reviewCustomer 360Cross-platform product88.8
Evidence, not decoration
From catalog to accountability

Governance people can actually use.

Every capability connects technical evidence to the owner, decision, quality signal, or workflow that makes data trustworthy.

01

Unified data catalog

Search technical and business metadata across connected platforms with owners, domains, classifications, freshness, and trust signals.

02

Business glossary

Define shared language, connect terms to assets, and version business definitions without changing source-platform metadata.

03

Lineage & impact

Explore upstream and downstream dependencies, column evidence, pipeline context, confidence, and manually curated gaps.

04

Data quality

Version, schedule, and run completeness, uniqueness, validity, freshness, custom SQL, and trusted Python checks near the data.

05

Stewardship work

Route quality issues, access requests, metadata enrichment, certifications, and attestations through accountable queues.

06

Ownership & certification

Assign owners and stewards by asset or data product, record attestations, and renew expiring certifications.

Architecture

Open at the core. Native at the edges.

FastHTML keeps interaction direct. PostgreSQL holds durable governance records. Python adapters execute close to each data platform.

Business workspaceFastHTMLSearch · Lineage · Quality · Workflows
Governance recordPostgreSQLMetadata · Trust · Audit · Jobs
Platform adaptersPythonSnowflake · Fabric · Databricks
How it compares

A focused open-source choice.

FastDataGov favours a smaller operating surface and explicit business accountability. Broader platforms may suit teams that need hundreds of connectors or a managed enterprise suite.

Capabilities and delivery models checked against official product documentation on 9 August 2026.
Platform Source / delivery Best fit Lineage
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
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
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
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
Built for accountable reuse

Make trusted data the easiest data to find.

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