Auth0 → Domo
AI-first ETL from Auth0 into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Auth0 into Domo
Datrise syncs Auth0's authentication logs, sign-ins, user identity changes, and security events into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
Auth0: Identity source for authentication and sign-in telemetry.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Auth0 entities map to Domo
| Auth0 entity | Domo object | Notes |
|---|---|---|
| authentication logs | auth0_authentication_logs | id PK · custom fields → flattened columns for Magic ETL |
| sign-ins | auth0_sign_ins | id PK · linked to auth0_authentication_logs |
| user identity changes | auth0_user_identity_changes | date/time columns events |
| security events | auth0_security_events | date/time columns events |
FAQ
How does Datrise handle Auth0's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the Auth0 to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
More destinations for Auth0
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