Collibra

Data governance / catalog leader, with an AI Governance module. Primary category: ai-governance-platform; also tagged dspm (loosely — see below).

One-liner — An enterprise data intelligence platform: a data catalog plus governance, lineage, and quality, now extended with an AI Governance module to inventory and govern AI models and their data.

What it does

Collibra is the system of record for what data you have and whether you can trust it: a business-glossary-driven data catalog, data governance workflows (ownership, stewardship, policies), end-to-end data lineage, and data quality monitoring. Its AI Governance offering layers a registry/workflow for AI use cases and models on top of that metadata — mapping models to the data and policies that apply, for compliance (EU AI Act, internal model risk). It is governance/metadata-first, not a security enforcement tool.

Where it sits in the stack

Data layer for cataloging/governance, and ai-governance-platform for the AI-model-governance use. Its risk role is indirect — it documents and classifies sensitive data (knowing what is sensitive and where) but does not enforce access or block egress. The dspm tag is loose: Collibra catalogs and governs data, it is not a security-posture scanner like cyera/bedrock-security; treat its DSPM membership as adjacency, not equivalence.

Deployment & architecture

SaaS (“Data Intelligence/Governance Cloud”) with edge-cloud architecture, open APIs, and graph-based metadata analytics. Connects to source systems to harvest metadata and lineage; integrates with data platforms, BI, and DSPM/quality tools.

Positioning & differentiators

The long-standing catalog/governance leader, competing with microsoft-purview, Alation, Informatica, and Atlan. Distinct from immuta: Collibra governs/catalogs metadata and policy (the “what/who-owns” layer) while Immuta enforces live data access. Its AI Governance push positions it against credo-ai, holistic-ai, ibm-watsonx-governance, and onetrust for model inventory/compliance — but anchored to its data-catalog roots rather than model-risk/ML-eval depth.

Ownership, funding & M&A

Independent, VC-backed private company; ~$596M raised over ~9 rounds. The $250M Series G, led by Sequoia Capital Global Equities and Sofina (with Tiger Global, Battery, CapitalG, Dawn, Durable, ICONIQ, Index), set a $5.25B valuation — more than double its April-2020 $2.3B mark. (The $5.25B figure dates to the 2021 Series G and may be stale; private valuations have broadly reset since.) No acquisition; no seed M&A flag. Ownership confidence high; valuation-as-of-2021 confidence med.

CTO / hedge-fund lens

Collibra is heavyweight enterprise data-governance tooling — a fit for large, data-mature organizations with formal stewardship programs. For a typical hedge fund it is likely Day-2 or optional: valuable if you have a sprawling data estate and need a catalog/lineage/AI-model registry for regulators, but heavier than most mid-size funds need. Its AI Governance module has SR 11-7 / EU AI Act relevance (model inventory, documentation, policy mapping), though dedicated model-risk platforms may go deeper on validation/monitoring.

Competitors / alternatives

microsoft-purview, immuta, credo-ai, holistic-ai, ibm-watsonx-governance, onetrust (catalog: Alation, Informatica, Atlan — no pages).

Open questions / to verify

  • Current (2025-26) valuation and whether any newer round/secondary has occurred.
  • Depth/adoption of Collibra AI Governance vs. dedicated model-risk platforms.
  • Whether the dspm tag should be dropped in the final taxonomy pass (Collibra is catalog/governance, not security DSPM).

Sources

History

  • [2026-06-28] Stub created from seed registry.
  • [2026-06-28] Researched; established independent (private), Brussels+NY, founded 2008, ~$596M raised, $250M Series G at $5.25B (2021). No M&A. Made ai-governance-platform the primary category and flagged the dspm tag as loose (catalog/governance, not security DSPM). Set ownership_confidence high.