Auth0 to Google BigQuery integration
Connect Auth0 to Google BigQuery and automatically sync your product analytics data. Weld extracts data from Auth0, loads it into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.
- client43 cols
- logs45 cols
- organization7 cols
- resource_server14 cols
- client_grant10 cols
- connection9 cols
- Extract
- Load
- Keep in sync
- auth0.clientSynced
- auth0.logsSyncing
- auth0.organizationSynced
- auth0.resource_serverSynced
- auth0.client_grantSynced
- auth0.connectionSynced
- Auth0 tables
- 40
- fields, typed
- 352
- relationships kept
- 10
- agent context included
- MCP
Trusted by data and AI teams
How to set up Auth0 to Google BigQuery in Weld.
In the app, with the API or an agent.
Why sync Auth0 to Google BigQuery?
Ready for analysis.
Centralizing your Auth0 data in Google BigQuery lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Auth0 data directly in Google BigQuery using SQL or your preferred BI tool.
Product usage analytics
Combine Auth0 event data with business data in Google BigQuery to understand how product usage drives retention and revenue.
Centralized data warehouse
Bring Auth0 data into Google BigQuery alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Auth0 to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Auth0 table, keys intact.
Weld syncs the objects the Auth0 connector exposes into Google BigQuery, and you choose which tables and fields to include. The connector's docs list what is available.
- client
- logs
- organization
- resource_server
- client_grant
- connection
- organization_member
- client_grant_scope
- grants
- organization_member_role
- connection_enabled_client
- users
- action
- action_integration
- event_stream
- user_identities
- stats_daily
- action_supported_trigger
- action_trigger_compatible
- log_stream
- role_permission
- action_dependency
- action_trigger
- user_profile_data
- action_secret
- action_trigger_runtime
- client_grant_type
- client_metadata
- connection_realm
- connection_metadata
- and 10 more
Ask your agent.
It queries Google BigQuery for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Auth0 context, finds the tables it needs and runs the query in Google BigQuery.
How many client rows do we have per client? Use our Auth0 data in Google BigQuery.
Reading the Auth0 context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Auth0 API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Auth0 adds new fields, they're detected and added to the corresponding Google BigQuery tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Common questions.
About Auth0 to Google BigQuery.
Start syncing Auth0 to Google BigQuery.
Set up your Auth0 data pipeline in minutes. No credit card required. Free for 14 days.