Auth0 → Holistics
AI-first ETL from Auth0 into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Auth0 into Holistics
Datrise syncs Auth0's authentication logs, sign-ins, user identity changes, and security events into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Auth0: Identity source for authentication and sign-in telemetry.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Auth0 entities map to Holistics
| Auth0 entity | Holistics object | Notes |
|---|---|---|
| authentication logs | auth0_authentication_logs | id PK · custom fields → flattened columns for the modeling layer |
| sign-ins | auth0_sign_ins | id PK · linked to auth0_authentication_logs |
| user identity changes | auth0_user_identity_changes | date/time dimensions events |
| security events | auth0_security_events | date/time dimensions events |
FAQ
How does Datrise handle Auth0's custom fields in Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Auth0 to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
Related pipelines
More destinations for Auth0
Early access
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