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Head-to-head · Data Catalog and Governance Software

Qlik Catalog vs Amazon DataZone

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Qlik Catalog #6 in Data Catalog and Governance Software 8.9/10 Pricing on request ✓ 0 of 4 features Visit Qlik

Qlik Catalog 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 scoreQlik Catalog · 8.9/10

Qlik Catalog scores higher on our rubric for data catalog and governance software: 8.9 against 8.7 out of 10; our editors rank them #6 and #8.

Qlik Catalog is the better fit for enterprises with varied legacy and modern sources. Amazon DataZone is the better fit for AWS-centered teams sharing governed data.

  • Qlik Catalog fits best

    Enterprises with varied legacy and modern sources

  • 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 Qlik Catalog 8.9/10 Visit ↗ Amazon DataZone 8.7/10 Visit ↗
At a glance
Editor score 8.9 8.7
Ranking #6 in Data Catalog and Governance Software #8 in Data Catalog and Governance Software
Best for Enterprises with varied legacy and modern sources 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 Docs Docs
Integrations 12 integrations 8 integrations
Built for Enterprise Mid-market, Enterprise
Features Qlik Catalog 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
  • Traces upstream and downstream lineage down to the field or column level
  • Automates discovery of relationships between datasets and BI tools
  • Supports cloud and self-hosted deployment across varied data sources
  • 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
  • Support channels listed include documentation only
  • Enterprise focus may be more than smaller teams need
  • 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

Qlik Catalog helps enterprise data engineers, analysts, data stewards, and business users discover, understand, govern, prepare, and share analytics data. It centralizes technical, operational, and business metadata, with search, browsing,…

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. Qlik CatalogData Catalog and Governance Software 8.9Pricing on request
  2. Amazon DataZoneData Catalog and Governance Software 8.7Paid

Strengths and trade-offs

  • Qlik Catalog — where it wins

    • Traces upstream and downstream lineage down to the field or column level
    • Automates discovery of relationships between datasets and BI tools
    • Supports cloud and self-hosted deployment across varied data sources

    Where it doesn't

    • Pricing requires contacting sales
    • Support channels listed include documentation only
    • Enterprise focus may be more than smaller teams need
  • 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