Okta to ClickHouse Integration

How Datrise loads Okta into ClickHouse

Datrise syncs Okta's users, groups, applications, system log events, factors, and group memberships into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Okta: Identity provider for SSO and user lifecycle.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Okta entities map to ClickHouse

Okta entity	ClickHouse object	Notes
users	`okta_users`	id PK · custom fields → JSON or Map 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`	DateTime64 events

FAQ

How does Datrise handle Okta's custom fields in ClickHouse?

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

How does the Okta to ClickHouse sync stay up to date?

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

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