DatriseAI-first ETL

BambooHR ClickHouse

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

How Datrise loads BambooHR into ClickHouse

Datrise syncs BambooHR's employee records, org structure, lifecycle events, and workforce attributes 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

BambooHR: HRIS source for employee records and workforce analytics.

ClickHouse: Columnar OLAP engine for fast aggregations.

How BambooHR entities map to ClickHouse

BambooHR entityClickHouse objectNotes
employee recordsbamboohr_employee_recordsid PK · custom fields → JSON or Map columns
org structurebamboohr_org_structureid PK · linked to bamboohr_employee_records
lifecycle eventsbamboohr_lifecycle_eventsDateTime64 events
workforce attributesbamboohr_workforce_attributesid PK · linked to bamboohr_employee_records

FAQ

How does Datrise handle BambooHR'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 BambooHR 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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