Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · Data Exchange Platforms

AWS Data Exchange vs BigQuery Data Clean Rooms

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score AWS Data Exchange #1 in Data Exchange Platforms 9.2/10 Paid ✓ 0 of 2 features Visit site
BigQuery Data Clean Rooms #3 in Data Exchange Platforms 8.5/10 Paid ✓ 0 of 2 features Visit Google Cloud

AWS Data Exchange leads on 0 checks, BigQuery Data Clean Rooms 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 scoreAWS Data Exchange · 9.2/10

AWS Data Exchange scores higher on our rubric for data exchange platforms: 9.2 against 8.5 out of 10; our editors rank them #1 and #3.

AWS Data Exchange is the better fit for teams building a commercial data marketplace on AWS. BigQuery Data Clean Rooms is the better fit for teams sharing sensitive data for controlled analysis.

  • AWS Data Exchange fits best

    Teams building a commercial data marketplace on AWS

  • BigQuery Data Clean Rooms fits best

    Teams sharing sensitive data for controlled analysis

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. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature AWS Data Exchange 9.2/10 Visit ↗ BigQuery Data Clean Rooms 8.5/10 Visit ↗
At a glance
Editor score 9.2 8.5
Ranking #1 in Data Exchange Platforms #3 in Data Exchange Platforms
Best for Teams building a commercial data marketplace on AWS Teams sharing sensitive data for controlled analysis
Pricing model Paid Paid
Starting price Not checked yet —
Free plan — Not checked yet
Free trial — —
Deployment Cloud Cloud
Platforms Web Web
Support Docs Docs
Compliance GDPR, 2FA ISO 27001, SOC 2, HIPAA, PCI DSS
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features AWS Data Exchange 0/2 · BigQuery Data Clean Rooms 0/2
Data governance Not checked yet Not checked yet
Partner portal Not checked yet Not checked yet
Specs
Exchange model Not checked yet Not checked yet
Deployment Not checked yet Cloud
Supported protocols Not checked yet Not checked yet
Access controls true Not checked yet
Our review
Pros
  • Supports file, API, Redshift, S3, and Lake Formation delivery
  • Manages subscriptions, entitlements, billing, and private offers
  • Automates retrieval of new dataset revisions
  • Linked datasets let subscribers query shared data without copying it.
  • Aggregation, differential privacy, and list-overlap analysis rules.
  • Query templates, egress controls, and BigQuery audit logging.
Cons
  • No free plan; charges can include product and AWS service costs
  • Its delivery and ecosystem are centered on AWS
  • Support channels listed are documentation
  • Focused on clean-room collaboration, not broad data marketplace needs.
  • Usage-based storage and compute pricing can vary with BigQuery use.
  • Raw access can occur when shared tables or views lack analysis rules.
Our verdict

AWS Data Exchange is a cloud service for discovering, subscribing to, publishing, and managing third-party data products. It is aimed at organizations buying external datasets as well as providers building a commercial data marketplace.…

Read the review →

BigQuery Data Clean Rooms provide a cloud environment for organizations to share, join, and analyze sensitive data without moving or directly revealing underlying data. Data contributors publish tables or views; subscribers query linked…

Read the review →
  1. AWS Data ExchangeData Exchange Platforms 9.2Paid
  2. BigQuery Data Clean RoomsData Exchange Platforms 8.5Paid

Strengths and trade-offs

  • AWS Data Exchange — where it wins

    • Supports file, API, Redshift, S3, and Lake Formation delivery
    • Manages subscriptions, entitlements, billing, and private offers
    • Automates retrieval of new dataset revisions

    Where it doesn't

    • No free plan; charges can include product and AWS service costs
    • Its delivery and ecosystem are centered on AWS
    • Support channels listed are documentation

  • BigQuery Data Clean Rooms — where it wins

    • Linked datasets let subscribers query shared data without copying it.
    • Aggregation, differential privacy, and list-overlap analysis rules.
    • Query templates, egress controls, and BigQuery audit logging.

    Where it doesn't

    • Focused on clean-room collaboration, not broad data marketplace needs.
    • Usage-based storage and compute pricing can vary with BigQuery use.
    • Raw access can occur when shared tables or views lack analysis rules.
  • AWS Data Exchange9.2/10 · Paid

    A strong fit for AWS-centered data marketplaces, with flexible delivery and subscription controls.

    Visit siteFull verdict →
  • BigQuery Data Clean Rooms8.5/10 · Paid

    A BigQuery clean room for sharing sensitive data under query and output controls.

    Visit Google CloudFull verdict →

More comparisons

All data exchange platforms comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update