Okta to PlanetScale Integration
AI-first ETL from Okta into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Okta into PlanetScale
Datrise syncs Okta's users, groups, applications, system log events, factors, and group memberships into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Okta: Identity provider for SSO and user lifecycle.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Okta entities map to PlanetScale
| Okta entity | PlanetScale object | Notes |
|---|---|---|
| users | okta_users | id PK · custom fields → JSON columns |
| groups | okta_groups | id PK · linked to okta_users |
| applications | okta_applications | id PK · linked to okta_users |
| system log events | okta_system_log_events | DATETIME events |
FAQ
How does Datrise handle Okta's custom fields in PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the Okta to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Okta
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