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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

Every plan, in full

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

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