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Head-to-head · Data Catalog and Governance Software

Google Cloud Knowledge Catalog vs Amazon DataZone

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side

Google Cloud Knowledge 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 scoreGoogle Cloud Knowledge Catalog · 9.3/10

Google Cloud Knowledge Catalog scores higher on our rubric for data catalog and governance software: 9.3 against 8.7 out of 10; our editors rank them #2 and #8.

Google Cloud Knowledge Catalog is the better fit for organizations invested in Google Cloud. Amazon DataZone is the better fit for AWS-centered teams sharing governed data.

  • Google Cloud Knowledge Catalog fits best

    Organizations invested in Google Cloud

  • Amazon DataZone fits best

    AWS-centered teams sharing governed data

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Side by side

Feature Google Cloud Knowledge Catalog 9.3/10 Visit ↗ Amazon DataZone 8.7/10 Visit ↗
At a glance
Editor score 9.3 8.7
Ranking #2 in Data Catalog and Governance Software #8 in Data Catalog and Governance Software
Best for Organizations invested in Google Cloud AWS-centered teams sharing governed data
Pricing model Paid Paid
Starting price — $0.40/GB/mo
Free plan — —
Free trial — —
Deployment Cloud Cloud
Platforms Web Web
Support Email, Live chat, Phone, Tickets, Community, Docs Docs
Compliance HIPAA SOC 2, ISO 27001, HIPAA
Integrations 19 integrations 8 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Google Cloud Knowledge 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
  • Search and automatic metadata discovery cover supported Google Cloud sources.
  • Lineage spans tables, columns, pipelines, and supported BI assets.
  • Quality checks, profiling, glossaries, and custom metadata support governance.
  • 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
  • Usage-based charges vary by region and include processing and storage components.
  • Some Looker and connector capabilities are marked Preview.
  • Its fit is strongest for organizations already using Google Cloud.
  • 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

Google Cloud Knowledge Catalog is a managed data catalog and governance service for organizations that need to find, understand, and govern data and AI assets across Google Cloud and connected systems. It centralizes technical and business…

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. Google Cloud Knowledge CatalogData Catalog and Governance Software 9.3Paid
  2. Amazon DataZoneData Catalog and Governance Software 8.7Paid

Strengths and trade-offs

  • Google Cloud Knowledge Catalog — where it wins

    • Search and automatic metadata discovery cover supported Google Cloud sources.
    • Lineage spans tables, columns, pipelines, and supported BI assets.
    • Quality checks, profiling, glossaries, and custom metadata support governance.

    Where it doesn't

    • Usage-based charges vary by region and include processing and storage components.
    • Some Looker and connector capabilities are marked Preview.
    • Its fit is strongest for organizations already using Google Cloud.
  • 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