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Head-to-head · Data Marketplace Software

AWS Data Exchange vs BigQuery sharing

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score AWS Data Exchange #3 in Data Marketplace Software 9.1/10 Paid ✓ 4 of 4 features Visit site
BigQuery sharing #7 in Data Marketplace Software 8.6/10 Pricing on request ✓ 4 of 4 features Visit Google Cloud

AWS Data Exchange leads on 0 checks, BigQuery sharing on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAWS Data Exchange · 9.1/10

AWS Data Exchange scores higher on our rubric for data marketplace software: 9.1 against 8.6 out of 10; our editors rank them #3 and #7.

AWS Data Exchange is the better fit for AWS-centric commercial data exchanges. BigQuery sharing is the better fit for bigQuery-native data sharing.

  • AWS Data Exchange fits best

    AWS-centric commercial data exchanges

  • BigQuery sharing fits best

    BigQuery-native data sharing

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Side by side

Feature AWS Data Exchange 9.1/10 Visit ↗ BigQuery sharing 8.6/10 Visit ↗
At a glance
Editor score 9.1 8.6
Ranking #3 in Data Marketplace Software #7 in Data Marketplace Software
Best for AWS-centric commercial data exchanges BigQuery-native data sharing
Pricing model Paid Paid
Starting price Not checked yet Pricing on request
Free plan — Not checked yet
Free trial — —
Deployment Cloud Cloud
Platforms Web Web
Support Docs Live chat, Phone, Tickets, Community, Docs
Compliance GDPR, 2FA SOC 2, ISO 27001, HIPAA, PCI DSS
Integrations 10 integrations 3 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features AWS Data Exchange 4/4 · BigQuery sharing 4/4
Data transactions ✓ ✓
Seller publishing ✓ ✓
Access controls ✓ ✓
Private marketplace ✓ ✓
Specs
Delivery methods Not checked yet Query
Dataset listing limit Not checked yet Not checked yet
Commercial model Custom Custom
Our review
Pros
  • Supports files, APIs, Redshift, S3, and Lake Formation datasets
  • Handles subscriptions, entitlements, billing, payments, and private offers
  • Connects with AWS analytics, governance, storage, and monitoring services
  • Shares datasets and Pub/Sub topics through public or private exchanges
  • Enables read-only linked datasets without replicating underlying data
  • Combines IAM controls, subscriptions, usage tracking, and Marketplace sales
Cons
  • No free plan is available
  • Costs can include product, data-grant, storage, transfer, and AWS service charges
  • Its strongest fit is organizations already working within AWS
  • Pricing follows a contact-sales model rather than a published fixed plan
  • Subscribers and publishers may incur underlying service-related charges
  • Best suited to organizations already operating in the Google Cloud ecosystem
Our verdict

AWS Data Exchange is a managed marketplace for discovering, publishing, subscribing to, and managing third-party data products. It serves both buyers seeking entitled access to external datasets and providers packaging commercial data for…

Read the review →

BigQuery sharing, formerly Analytics Hub, is a Google Cloud data exchange platform for publishing, discovering, subscribing to, and querying shared datasets and Pub/Sub topics. Providers can organize resources into public or private…

Read the review →
  1. AWS Data ExchangeData Marketplace Software 9.1Paid
  2. BigQuery sharingData Marketplace Software 8.6Pricing on request

Strengths and trade-offs

  • AWS Data Exchange — where it wins

    • Supports files, APIs, Redshift, S3, and Lake Formation datasets
    • Handles subscriptions, entitlements, billing, payments, and private offers
    • Connects with AWS analytics, governance, storage, and monitoring services

    Where it doesn't

    • No free plan is available
    • Costs can include product, data-grant, storage, transfer, and AWS service charges
    • Its strongest fit is organizations already working within AWS

  • BigQuery sharing — where it wins

    • Shares datasets and Pub/Sub topics through public or private exchanges
    • Enables read-only linked datasets without replicating underlying data
    • Combines IAM controls, subscriptions, usage tracking, and Marketplace sales

    Where it doesn't

    • Pricing follows a contact-sales model rather than a published fixed plan
    • Subscribers and publishers may incur underlying service-related charges
    • Best suited to organizations already operating in the Google Cloud ecosystem

More comparisons

All data marketplace software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update