Home / Directory / Trust, legal & compliance / Governance & policy tooling / Collibra

Collibra

Enterprise data intelligence platform for catalog, stewardship workflows, lineage, quality, privacy, and AI governance across large regulated estates.

6.7/10
Overall Score
Conditional recommend

Collibra is the catalog-and-stewardship default for large regulated programs. Depth is real; price, implementation weight, and business-user UX mean our recommendation is conditional.

Best for

Enterprise data and AI governance programs that need a shared catalog, glossary, stewardship workflows, and lineage across many systems.

Not ideal for

Mid-market teams wanting a lightweight catalog, or buyers whose only need is a model firewall or confidential-compute runtime.

Verdict

Collibra is a good fit when you are standing up company-wide data and AI governance with stewards, glossaries, and lineage that auditors will recognize. Pricing is sales-quoted with no public rate card, and deployments commonly run months with dedicated ownership. Practitioners like the catalog, workflows, and lineage; search friction, learning curve, and cost are the usual tradeoffs versus lighter tools.

Score Breakdown

How Collibra scores in the categories that matter to its buyers.

Buyer outcomes

Catalog & discovery
7.6
Stewardship & workflows
7.4
Lineage & impact analysis
7.2
Time-to-value / business UX
6.0

Company & commercial

Innovation & product leadership
7.1
Project management & communication
6.9
Pricing
5.4
Contract fairness
6.2

The Field at a Glance

Where Collibra ranks among Governance & policy tooling vendors we reviewed, by Overall Score and relative typical engagement cost.

6 7 8 9 Overall Score $ $$ $$$ $$$$ Relative typical engagement cost Credo AI Arthur Collibra 6.7
Collibra Credo AI Arthur

Collibra ties Credo AI at 7.3 Overall while ranking higher on relative engagement cost in this peer set. It is the broadest enterprise catalog-and-stewardship platform here; Credo AI and Arthur skew more to AI-program register and model-risk workflows.

Use-case matrix

Use caseFitNotes
Enterprise data catalogStrongCore strength across sources and BI.
Stewardship / approval workflowsStrongOperating model is the product.
End-to-end lineageStrongImpact analysis is a frequent win.
AI use-case governanceMixedGrowing; still program-led.
Lightweight mid-market catalogPoorHeavy for small teams.
Runtime model firewallPoorDifferent category entirely.

Who it’s for

Good fit

  • Regulated enterprises with named data owners and stewards
  • Programs consolidating glossary, catalog, and lineage
  • Teams that will fund implementation and change management

Poor fit

  • SMB or single-team catalog experiments
  • Buyers needing only eval or guardrail runtime controls
  • Orgs unwilling to staff stewardship after go-live

Review Excerpts

Below are excerpts from public reviews. Paid reviews and pay-for-play sites such as Clutch were excluded.

What people like

“Collibra Platform has increased the discoverability and productivity of employees by at least 30 percent, which is great.”

Aditi Kamra, Morgan Stanley · PeerSpot · source
What people like

“Through the business glossary, the data discovery time gets reduced by almost 50%. One data steward can use Collibra Platform and reduce the manual data management work by 50%.”

Souvik Choudhury · PeerSpot · source
What people don't like

“Collibra Platform is very powerful, but for new or occasional users, it can feel complex. It takes time to understand the structure, roles, asset types, relationships, and where to find the right information.”

Master Data Manager · PeerSpot · source
What people don't like

“I find that Collibra Platform could improve its performance, as it is very slow when you do uploads and when you want to dig into lineage.”

Head of Risk and Finance Data Governance, SMBC Group · PeerSpot · source
How it's used

“My main use case is reporting governance and building the data lineage by connecting to Unity Catalog and documenting KPIs, dimensions, and business reports for root cause analysis when a KPI shows wrong.”

Senior IT Consultant · PeerSpot · source

Methodology

This page is an independent evaluation of Collibra for buyers comparing options in governance & policy tooling. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Collibra did not pay for this review.

What we scored

The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.

  • Buyer outcomes (for governance & policy tooling)
    • Catalog & discovery
    • Stewardship & workflows
    • Lineage & impact analysis
    • Time-to-value / business UX
  • Company & commercial
    • Innovation & product leadership
    • Project management & communication
    • Pricing
    • Contract fairness

Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.

Score Composition

InputWeightWhat it covers
Reviews40%A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope.
Product35%Hands-on look at screens and workflows.
Pricing15%Whether the price looks fair for what you get.
Docs & training10%Docs, tutorials, and training material.

How we balanced the evidence

The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.

Scope

Collibra is graded here as governance & policy tooling. Criteria scores can move as more review volume and product checks are added.

← Back to Governance & policy tooling