DatriseAI-first ETL

Zenefits to ClickHouse Integration

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

How Datrise loads Zenefits into ClickHouse

Datrise syncs Zenefits's employees, departments, employments, time off requests, benefits enrollments, and compensation records 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

Zenefits: HR, benefits, and payroll administration.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Zenefits entities map to ClickHouse

Zenefits entityClickHouse objectNotes
employeeszenefits_employeesid PK · custom fields → JSON or Map columns
departmentszenefits_departmentsid PK · linked to zenefits_employees
employmentszenefits_employmentsid PK · linked to zenefits_employees
time off requestszenefits_time_off_requestsid PK · linked to zenefits_employees

FAQ

How does Datrise handle Zenefits'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 Zenefits 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

Early access

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