Auth0 → Neon
AI-first ETL from Auth0 into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Auth0 into Neon
Datrise syncs Auth0's authentication logs, sign-ins, user identity changes, and security events into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Auth0: Identity source for authentication and sign-in telemetry.
Neon: Serverless Postgres destination with branching and autoscaling.
How Auth0 entities map to Neon
| Auth0 entity | Neon object | Notes |
|---|---|---|
| authentication logs | auth0_authentication_logs | id PK · custom fields → jsonb columns |
| sign-ins | auth0_sign_ins | id PK · linked to auth0_authentication_logs |
| user identity changes | auth0_user_identity_changes | timestamptz events |
| security events | auth0_security_events | timestamptz events |
FAQ
How does Datrise handle Auth0's custom fields in Neon?
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 Neon types.
How does the Auth0 to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Auth0
Early access
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