BigQuery sharing

6.2easy start · #10 of 25
in Data Marketplace Software

Free to practise onnot on record
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Runs where you worknot on record

Runs on api, Web.

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BigQuery sharing is ranked #10 of 25 in data marketplace software on The Geeks Club. It runs on API, Web.

BigQuery sharing plans and pricing

All plans

BigQuery sharing Not published No additional cost for managing data exchanges or listings · publishers pay storage · subscribers pay for queries docs.cloud.google.com · 2 Oct 2026

Compared on data marketplace software

Data transactions: Yes
Seller publishing: Yes
Access controls: Yes
Delivery methods: query
Private marketplace: Yes
Commercial model: custom

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The record

Purpose: BigQuery sharing lets organizations share, discover, and access data and insights across organizational boundaries.
Zero-copy sharing: Publishers can share BigQuery datasets with subscribers without making multiple copies of the data.
Supported resources: BigQuery sharing supports BigQuery datasets and Pub/Sub topics.
Subscriber access: Subscribing creates a read-only linked dataset in the subscriber’s project that points to the shared dataset.
Sharing features: Publishers can create listings, manage subscriptions, and view listing usage metrics.
Marketplace integration: Commercial listings can be integrated with Google Cloud Marketplace, where subscribers can browse and purchase them.
Dataset discovery: BigQuery sharing provides access to curated datasets from Google and other data providers.
Security controls: Google says shared data includes governance, encryption, and security from Cloud KMS, Cloud IAM, and VPC Service Controls.
Data clean rooms: Data clean rooms support partner collaboration in BigQuery without copying or moving the underlying data.
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.
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.
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.
Intended users: The documentation describes publisher, subscriber, viewer, and administrator roles for sharing data within an organization or with partners.
Founded: 1998

Where it ranks on The Geeks Club

Best Data Marketplace Software in 2026#10 of 25

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Sources

docs.cloud.google.com/bigquery/docs/analytics-hub-introductio· checked 2 Oct 2026
cloud.google.com/analytics-hub· checked 2 Oct 2026