DatriseAI-first ETL

Workday ClickHouse

AI-first ETL from Workday into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Workday into ClickHouse

Datrise syncs Workday's HR, finance entities, organizational structures, and operational events 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

Workday: Enterprise HR and finance source for operational reporting.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Workday entities map to ClickHouse

Workday entityClickHouse objectNotes
HRworkday_hrid PK · custom fields → JSON or Map columns
finance entitiesworkday_finance_entitiesid PK · linked to workday_hr
organizational structuresworkday_organizational_structuresid PK · linked to workday_hr
operational eventsworkday_operational_eventsDateTime64 events

FAQ

How does Datrise handle Workday'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 Workday 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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