BigQuery sharing

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What BigQuery sharing is

BigQuery sharing is a service for exchanging data and insights between organizations, including publishers, subscribers, viewers, and administrators. Publishers can offer BigQuery datasets without creating separate copies, and subscribers receive a read-only linked dataset in their own project. It also supports Pub/Sub topics, listing management, subscription controls, and usage metrics. Commercial listings can be offered through Google Cloud Marketplace, alongside curated datasets from Google and other providers. For partner work, data clean rooms support collaboration without moving or duplicating the underlying data. Google says shared data uses governance, encryption, and controls from Cloud KMS, Cloud IAM, and VPC Service Controls, and lists compliance programs for BigQuery. A shared dataset can have up to 1,000 linked datasets; a shared topic can have up to 10,000 subscriptions. API and web access are available. Pricing is on request; managing exchanges or listings has no additional cost, while publishers pay for storage and subscribers pay for queries.

Who it suits

It suits organizations that need to publish or consume datasets and Pub/Sub topics across teams or with partners. Publishers can manage listings and subscriptions, while subscribers query read-only linked datasets.

What it does well

Shares datasets without making subscriber copies
Supports both BigQuery datasets and Pub/Sub topics
Includes Marketplace listings and curated datasets
Clean rooms support partner collaboration without data movement
Offers governance and access controls named by Google

What to know first

Shared datasets are limited to 1,000 linked datasets
Shared topics are limited to 10,000 subscriptions
Pricing is available on request

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. Publishers pay storage costs and subscribers pay for queries; managing exchanges or listings has no additional cost.

Plans

Plan	Billed and limits	Price
BigQuery sharing	No additional cost for managing data exchanges or listings · publishers pay storage · subscribers pay for queries	On request

As cloud.google.com lists them, read 2 Oct 2026. The maker's own page has the final word.

Getting started

Visit the BigQuery sharing website.
Use the web interface or API.
Publish a dataset or Pub/Sub topic as a listing.
Subscribers can subscribe to a listing to create a read-only linked dataset in their project.
For commercial listings, connect them with Google Cloud Marketplace.

Verdict

BigQuery sharing is suited to organizations exchanging data through controlled listings and read-only linked datasets. Keep the linked-dataset and subscription limits, as well as storage and query charges, in view when assessing fit.

Questions

What does BigQuery sharing do?

It lets organizations share, discover, and access data across organizational boundaries, including BigQuery datasets and Pub/Sub topics.

How does a subscriber access a shared dataset?

Subscribing creates a read-only linked dataset in the subscriber’s project that points to the shared dataset.

How is BigQuery sharing priced?

Pricing is on request. Managing data exchanges or listings has no additional cost; publishers pay for storage and subscribers pay for queries.

Can listings be purchased through Google Cloud Marketplace?

Commercial listings can be integrated with Google Cloud Marketplace, where subscribers can browse and purchase them.

What are the sharing limits?

A shared dataset can have up to 1,000 linked datasets, and a shared topic can have up to 10,000 Pub/Sub subscriptions.

What security and compliance programs are listed?

Google says shared data includes governance, encryption, and security from Cloud KMS, Cloud IAM, and VPC Service Controls. Listed compliance programs for BigQuery sharing as part of BigQuery include ISO 27001, ISO 27017, ISO 27018, SOC 1, SOC 2, SOC 3, PCI, penetration testing, HIPAA, and HITRUST.

Facts from BigQuery sharing's own pages

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, 2 Oct 2026
Data clean rooms: Data clean rooms support partner collaboration in BigQuery without copying or moving the underlying data. · cloud.google.com, 2 Oct 2026
Dataset discovery: BigQuery sharing provides access to curated datasets from Google and other data providers. · docs.cloud.google.com, 2 Oct 2026
Founded: 1998 · cloud.google.com, 28 Sept 2026
Headquarters: Mountain View, California, United States · cloud.google.com, 28 Sept 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, 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, 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, 2 Oct 2026
Purpose: BigQuery sharing lets organizations share, discover, and access data and insights across organizational boundaries. · docs.cloud.google.com, 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, 2 Oct 2026
Sharing features: Publishers can create listings, manage subscriptions, and view listing usage metrics. · docs.cloud.google.com, 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, 2 Oct 2026
Supported resources: BigQuery sharing supports BigQuery datasets and Pub/Sub topics. · docs.cloud.google.com, 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, 2 Oct 2026
Zero-copy sharing: Publishers can share BigQuery datasets with subscribers without making multiple copies of the data. · docs.cloud.google.com, 2 Oct 2026

Where BigQuery sharing stands on Freedom251

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