Auth0 → Amazon QuickSight
AI-first ETL from Auth0 into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads Auth0 into Amazon QuickSight
Datrise syncs Auth0's authentication logs, sign-ins, user identity changes, and security events into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
Auth0: Identity source for authentication and sign-in telemetry.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How Auth0 entities map to Amazon QuickSight
| Auth0 entity | Amazon QuickSight object | Notes |
|---|---|---|
| authentication logs | auth0_authentication_logs | id PK · custom fields → flattened columns for analyses |
| sign-ins | auth0_sign_ins | id PK · linked to auth0_authentication_logs |
| user identity changes | auth0_user_identity_changes | date/time fields events |
| security events | auth0_security_events | date/time fields events |
FAQ
How does Datrise handle Auth0's custom fields in Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the Auth0 to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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Early access
Connect Auth0 to Amazon QuickSight the easy way
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