DatriseAI-first ETL

ForceManager ClickHouse

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

How Datrise loads ForceManager into ClickHouse

Datrise syncs ForceManager's contacts, accounts, deals, activities, and lifecycle 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

ForceManager: European CRM for SMB and mid-market sales teams.

ClickHouse: Columnar OLAP engine for fast aggregations.

How ForceManager entities map to ClickHouse

ForceManager entityClickHouse objectNotes
contactsforcemanager_contactsid PK · custom fields → JSON or Map columns
accountsforcemanager_accountsid PK · linked to forcemanager_contacts
dealsforcemanager_dealsid PK · linked to forcemanager_contacts
activitiesforcemanager_activitiesDateTime64 events

FAQ

How does Datrise handle ForceManager'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 ForceManager 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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