Collibra
A data catalog and governance platform that builds a formal, certified map of what your business data actually means, then feeds that context to AI models so they answer questions correctly instead of guessing or hallucinating.
🔗 Visit CollibraDescription
Large organizations often have thousands of tables and metrics with no single source of truth for what any of them actually mean — 'active customer' might be defined three different ways across three departments. Collibra was originally built to solve that as a data catalog and governance tool, and has since repositioned itself around a newer problem: AI models trained on ungoverned data will confidently give wrong answers, because they don't know which definition of 'active customer' is the real one either.
Collibra's pitch is that a formal, certified business ontology — the same governance work data teams have done for years — becomes even more valuable once you're feeding that context to AI models, reducing both hallucinations and the token cost of re-explaining context in every prompt. It's aimed at large, often regulated organizations (Collibra specifically cites Fortune 500 companies in finance, healthcare, energy, and pharma) deploying enterprise AI systems at scale. As with most enterprise governance platforms, there's no public pricing — everything runs through a demo and sales process.
💬 Our review
The short version: Collibra is a long-established governance platform that has smartly repositioned itself for the AI era — worth serious consideration if your organization is deploying AI at scale and doesn't yet have a formal answer for 'which definition of this metric is the AI using.'
Against Ataccama, which consolidates governance, quality, and observability into one broader platform, Collibra leans more specifically into cataloging and the ontology-for-AI angle as its core differentiator. Against building a lighter internal glossary or semantic layer (as tools like Omni or Cube also offer), Collibra is a much heavier, dedicated governance platform meant for organizations where getting this wrong has real regulatory or financial consequences. The complete absence of public pricing, combined with the enterprise/Fortune 500 target market, signals this is not a tool a small team evaluates casually — expect a genuine sales and implementation process rather than a quick signup. <!-- ai-generated -->
💰 Pricing
📊 Global score
🤖 AI-enriched data
Modèle enterprise, tarification via démo et vente
Pros
Plateforme de catalogue/gouvernance établie
Ontologie certifiée réduit les hallucinations IA
Fort ancrage secteurs régulés
Cons
Pas de tarif public
Nécessite un vrai investissement organisationnel
Chevauche des plateformes comme Ataccama