Auth0 → Looker Studio
AI-first ETL from Auth0 into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Auth0 into Looker Studio
Datrise syncs Auth0's authentication logs, sign-ins, user identity changes, and security events into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
Auth0: Identity source for authentication and sign-in telemetry.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Auth0 entities map to Looker Studio
| Auth0 entity | Looker Studio object | Notes |
|---|---|---|
| authentication logs | auth0_authentication_logs | id PK · custom fields → flattened columns for chart fields |
| sign-ins | auth0_sign_ins | id PK · linked to auth0_authentication_logs |
| user identity changes | auth0_user_identity_changes | date dimension columns events |
| security events | auth0_security_events | date dimension columns events |
FAQ
How does Datrise handle Auth0's custom fields in Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the Auth0 to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Auth0
More sources for Looker Studio
Early access
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