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Head-to-head · Data Catalog and Governance Software

Collibra vs Amazon DataZone

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Collibra #5 in Data Catalog and Governance Software 8.9/10 Pricing on request ✓ 0 of 4 features Visit Collibra

Collibra leads on 0 checks, Amazon DataZone on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreCollibra · 8.9/10

Collibra scores higher on our rubric for data catalog and governance software: 8.9 against 8.7 out of 10; our editors rank them #5 and #8.

Collibra is the better fit for large enterprises prioritizing governance workflows. Amazon DataZone is the better fit for AWS-centered teams sharing governed data.

  • Collibra fits best

    Large enterprises prioritizing governance workflows

  • Amazon DataZone fits best

    AWS-centered teams sharing governed data

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. How we rank.

Side by side

Feature Collibra 8.9/10 Visit ↗ Amazon DataZone 8.7/10 Visit ↗
At a glance
Editor score 8.9 8.7
Ranking #5 in Data Catalog and Governance Software #8 in Data Catalog and Governance Software
Best for Large enterprises prioritizing governance workflows AWS-centered teams sharing governed data
Pricing model Paid Paid
Starting price Pricing on request $0.40/GB/mo
Free plan Not checked yet —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Email, Tickets, Community, Docs Docs
Compliance SOC 2, ISO 27001, GDPR, HIPAA SOC 2, ISO 27001, HIPAA
Integrations 100+ integrations 8 integrations
Built for Enterprise Mid-market, Enterprise
Features Collibra 0/4 · Amazon DataZone 0/4
Data lineage Not checked yet Not checked yet
Metadata discovery Not checked yet Not checked yet
Governance workflows Not checked yet Not checked yet
Data quality features Not checked yet Not checked yet
Specs
Deployment options Not checked yet Not checked yet
Source connectors Not checked yet Not checked yet
Our review
Pros
  • Combines catalog, governance, lineage, quality, privacy and AI governance.
  • Supports cloud and self-hosted deployment with native integrations and APIs.
  • Offers marketplace workflows to discover and request trusted data products.
  • Supports governed subscription workflows and fine-grained access controls
  • Captures AWS Glue and Redshift lineage, including column-level views
  • Projects and environments support collaboration around data assets
Cons
  • Pricing requires contacting sales rather than choosing a published self-serve plan.
  • Its governance breadth may exceed the needs of teams seeking a narrow catalog.
  • Collection can involve manual creation or imports alongside connectors and APIs.
  • Integrations and lineage capture are more AWS-centered than broader catalogs
  • Usage-based charges span requests, storage, compute, and AI tokens
  • Cloud deployment only; support channels listed are documentation
Our verdict

Collibra is an enterprise data and AI governance platform for organizations that need to discover, understand, govern, protect and use data across complex environments. Its catalog and metadata inventory sit alongside governance policies,…

Read the review →

Amazon DataZone is a fully managed, cloud-based data management service for organizations that need to catalog, discover, share, govern, and analyze data across AWS, on-premises, and third-party sources. Its business catalog, collaboration…

Read the review →
  1. CollibraData Catalog and Governance Software 8.9Pricing on request
  2. Amazon DataZoneData Catalog and Governance Software 8.7Paid

Strengths and trade-offs

  • Collibra — where it wins

    • Combines catalog, governance, lineage, quality, privacy and AI governance.
    • Supports cloud and self-hosted deployment with native integrations and APIs.
    • Offers marketplace workflows to discover and request trusted data products.

    Where it doesn't

    • Pricing requires contacting sales rather than choosing a published self-serve plan.
    • Its governance breadth may exceed the needs of teams seeking a narrow catalog.
    • Collection can involve manual creation or imports alongside connectors and APIs.
  • Amazon DataZone — where it wins

    • Supports governed subscription workflows and fine-grained access controls
    • Captures AWS Glue and Redshift lineage, including column-level views
    • Projects and environments support collaboration around data assets

    Where it doesn't

    • Integrations and lineage capture are more AWS-centered than broader catalogs
    • Usage-based charges span requests, storage, compute, and AI tokens
    • Cloud deployment only; support channels listed are documentation

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update