DatriseAI-first ETL

Auth0 PostgreSQL

AI-first ETL from Auth0 into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Auth0 into PostgreSQL

Datrise syncs Auth0's authentication logs, sign-ins, user identity changes, and security events into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Auth0: Identity source for authentication and sign-in telemetry.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Auth0 entities map to PostgreSQL

Auth0 entityPostgreSQL objectNotes
authentication logsauth0_authentication_logsid PK · custom fields → jsonb columns
sign-insauth0_sign_insid PK · linked to auth0_authentication_logs
user identity changesauth0_user_identity_changestimestamptz events
security eventsauth0_security_eventstimestamptz events

FAQ

How does Datrise handle Auth0's custom fields in PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Auth0 to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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