DatriseAI-first ETL

Freshsales ClickHouse

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

How Datrise loads Freshsales into ClickHouse

Datrise syncs Freshsales's leads, contacts, deals, calls, and email activity telemetry 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

Freshsales: CRM by Freshworks with built-in phone and email.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Freshsales entities map to ClickHouse

Freshsales entityClickHouse objectNotes
leadsfreshsales_leadsid PK · custom fields → JSON or Map columns
contactsfreshsales_contactsid PK · linked to freshsales_leads
dealsfreshsales_dealsid PK · linked to freshsales_leads
callsfreshsales_callsid PK · linked to freshsales_leads

FAQ

How does Datrise handle Freshsales'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 Freshsales 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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