Okta to MySQL Integration
AI-first ETL from Okta into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Okta into MySQL
Datrise syncs Okta's users, groups, applications, system log events, factors, and group memberships into MySQL 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/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
Okta: Identity provider for SSO and user lifecycle.
MySQL: Widely used OSS relational engine (InnoDB).
How Okta entities map to MySQL
| Okta entity | MySQL 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/TIMESTAMP events |
FAQ
How does Datrise handle Okta's custom fields in MySQL?
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 MySQL types.
How does the Okta to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
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