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On the recordRead 2 Oct 202615 facts
BigQuery sharing
Mountain View, California, United States
Plans and prices
BigQuery sharing
Priced on request
No additional cost for managing data exchanges or listings · publishers pay storage · subscribers pay for queries
Read 2 Oct 2026 · docs.cloud.google.com
On the record
- Compliance
- Google lists ISO 27001, ISO 27017, ISO 27018, SOC 1, SOC 2, SOC 3, PCI, penetration testing, HIPAA, and HITRUST compliance programs for BigQuery sharing as part of BigQuery.docs.cloud.google.com · read 2 Oct 2026
- Data clean rooms
- Data clean rooms support partner collaboration in BigQuery without copying or moving the underlying data.cloud.google.com · read 2 Oct 2026
- Dataset discovery
- BigQuery sharing provides access to curated datasets from Google and other data providers.docs.cloud.google.com · read 2 Oct 2026
- Intended users
- The documentation describes publisher, subscriber, viewer, and administrator roles for sharing data within an organization or with partners.docs.cloud.google.com · read 2 Oct 2026
- Marketplace integration
- Commercial listings can be integrated with Google Cloud Marketplace, where subscribers can browse and purchase them.docs.cloud.google.com · read 2 Oct 2026
- Pricing model
- There is no additional cost to manage exchanges or listings; dataset publishers pay storage and subscribers pay for queries, while Pub/Sub charges depend on throughput and applicable network egress.docs.cloud.google.com · read 2 Oct 2026
- Purpose
- BigQuery sharing lets organizations share, discover, and access data and insights across organizational boundaries.docs.cloud.google.com · read 2 Oct 2026
- Security controls
- Google says shared data includes governance, encryption, and security from Cloud KMS, Cloud IAM, and VPC Service Controls.cloud.google.com · read 2 Oct 2026
- Sharing features
- Publishers can create listings, manage subscriptions, and view listing usage metrics.docs.cloud.google.com · read 2 Oct 2026
- Subscriber access
- Subscribing creates a read-only linked dataset in the subscriber’s project that points to the shared dataset.docs.cloud.google.com · read 2 Oct 2026
- Supported resources
- BigQuery sharing supports BigQuery datasets and Pub/Sub topics.docs.cloud.google.com · read 2 Oct 2026
- Usage limits
- A shared dataset can have at most 1,000 linked datasets, and a shared topic can have at most 10,000 Pub/Sub subscriptions.docs.cloud.google.com · read 2 Oct 2026
- Zero-copy sharing
- Publishers can share BigQuery datasets with subscribers without making multiple copies of the data.docs.cloud.google.com · read 2 Oct 2026