Analytics access integration

Just-in-Time Access toGoogle BigQuery

Use Adaptive's Google BigQuery integration to provide authenticated, auditable access to your data warehouse without sharing credentials.

Data Warehouses

How Adaptive works with Google BigQuery

Use Adaptive's Google BigQuery integration to provide authenticated, auditable access to your data warehouse without sharing credentials.

Use Google BigQuery with Adaptive to give data engineers, analysts, administrators and AI agents a governed workflow for warehouses, data lakes, catalogs and analytics workloads. Instead of relying on shared warehouse passwords, access keys and service credentials, teams get identity-aware controls and a connected record for review.

Adaptive brokers analytics access with an approved data role and ties resulting sessions and queries to the requesting identity.

Every request is evaluated against the data role and access duration approved for each identity. Teams can then use evidence covering analytics sessions, queries and data access approvals without piecing together identity, approval and resource records from separate systems.

Access controls

What Adaptive adds to Google BigQuery

Credential-less analytics access

For Google BigQuery, let approved users and agents query data without distributing reusable warehouse or cloud credentials.

Scoped data roles

For Google BigQuery, apply task-appropriate permissions and time limits instead of permanent broad access to analytics data.

Query accountability

For Google BigQuery, associate analytics activity with an identity and approval for data governance and investigations.

Implementation model

How access works

Keep the tools your team already uses while Adaptive provides the identity, policy, approval and audit layer around Google BigQuery.

1
Connect the analytics resource
Register the warehouse, lake or catalog while keeping its privileged credential protected.
2
Map access policy
Define eligible identities, approved data roles, duration and approval requirements.
3
Use familiar query tools
Approved users connect through their existing analytics workflow while Adaptive brokers access.
4
Review data activity
Inspect access and query evidence for security, governance and compliance reviews.

Common workflows

Use cases for Google BigQuery

Time-bound analyst access
Protected production data exploration
Governed analytics for AI agents
Data access audits and investigations

FAQ

Google BigQuery integration questions

What does the Adaptive Google BigQuery integration do?

Use Adaptive's Google BigQuery integration to provide authenticated, auditable access to your data warehouse without sharing credentials.

How does Adaptive protect access to Google BigQuery?

Adaptive brokers analytics access with an approved data role and ties resulting sessions and queries to the requesting identity. Adaptive evaluates access against the data role and access duration approved for each identity and records analytics sessions, queries and data access approvals for review.

Who can use the Google BigQuery integration?

The integration is designed for data engineers, analysts, administrators and AI agents. Access can be limited by identity, resource, approval status and time window.

What audit evidence is available for Google BigQuery?

Adaptive connects the authenticated identity and approval context with analytics sessions, queries and data access approvals, giving security and compliance teams one record to investigate and review.

Data Warehouses