Informatica Data Quality vs Collibra

IDInformatica Data Quality8.3Visit Collibra8.1Visit

Higher score ID Informatica Data Quality #4 in Data Testing Tools 8.3/10 Pricing on request ✓ 3 of 4 features Visit Informatica

vs

Collibra #5 in Data Testing Tools 8.1/10 Pricing on request ✓ 3 of 4 features Visit Collibra

• Informatica Data Quality fits best

  Large enterprises with existing governance programs and Informatica investments

• Collibra fits best

  Organizations that want data quality checks tied directly to catalog, lineage, and ownership records

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Side by side

Feature	IDInformatica Data Quality 8.3/10 Visit ↗	Collibra 8.1/10 Visit ↗
At a glance
Editor score	8.3	8.1
Ranking	#4 in Data Testing Tools	#5 in Data Testing Tools
Best for	Large enterprises with existing governance programs and Informatica investments	Organizations that want data quality checks tied directly to catalog, lineage, and ownership records
Pricing model	Paid	Paid
Starting price	Pricing on request	Pricing on request
Free plan	—	—
Free trial	—	—
Features Informatica Data Quality 3/4 · Collibra 3/4
Automated anomaly detection	—	—
Data lineage mapping	✓	✓
Alerting integrations	✓	✓
API access	✓	✓
Specs
Deployment model	Hybrid	Hybrid
Our review
Pros	Decades of enterprise deployment experience behind the product and its implementation partners Integrates cleanly with other Informatica products for teams already on that stack Strong fit for regulated industries needing documented, auditable quality rules	Quality scores sit next to catalog entries, so a business user sees trust status and lineage in one place, not just engineers Strong ownership and stewardship workflows for assigning who's responsible when a check fails Long enterprise track record in regulated and highly governed industries
Cons	Cost only becomes clear after a sales conversation; no tier or price list is public Feature depth comes with a steeper learning curve than newer, narrower quality tools Full value is strongest inside an Informatica-centric stack; standalone adoption is a heavier lift	Budgeting has to start blind, since no price list is published anywhere Teams that only want technical quality checks (no catalog, no stewardship workflow) are buying more than they need Rolling out the catalog and ownership model well takes real organizational effort, not just a technical install
Our verdict	Informatica Data Quality is the product we'd expect a large, already-regulated enterprise to shortlist by default, mostly because it's been deployed at that scale for a very long time and the implementation ecosystem (partners,… Read the review →	Collibra's quality features exist inside its catalog, which is the right starting point for an organization where "is this data trustworthy" needs to be answerable by a business stakeholder, not just an engineer reading a log. A quality… Read the review →

Strengths and trade-offs

• Informatica Data Quality — where it wins

  • Decades of enterprise deployment experience behind the product and its implementation partners
  • Integrates cleanly with other Informatica products for teams already on that stack
  • Strong fit for regulated industries needing documented, auditable quality rules

  Where it doesn't

  • Cost only becomes clear after a sales conversation; no tier or price list is public
  • Feature depth comes with a steeper learning curve than newer, narrower quality tools
  • Full value is strongest inside an Informatica-centric stack; standalone adoption is a heavier lift

• Collibra — where it wins

  • Quality scores sit next to catalog entries, so a business user sees trust status and lineage in one place, not just engineers
  • Strong ownership and stewardship workflows for assigning who's responsible when a check fails
  • Long enterprise track record in regulated and highly governed industries

  Where it doesn't

  • Budgeting has to start blind, since no price list is published anywhere
  • Teams that only want technical quality checks (no catalog, no stewardship workflow) are buying more than they need
  • Rolling out the catalog and ownership model well takes real organizational effort, not just a technical install

• IDInformatica Data Quality8.3/10 · Pricing on request

  The safe, well-supported pick for large enterprises needing quality tied to existing governance programs.

  Visit InformaticaFull verdict →
• Collibra8.1/10 · Pricing on request

  Quality checks here are a feature of the catalog, which matters most to governance-led organizations.

  Visit CollibraFull verdict →