DatriseAI-first ETL

Bigin by Zoho ClickHouse

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

How Datrise loads Bigin by Zoho into ClickHouse

Datrise syncs Bigin by Zoho's SMB leads, contacts, deals, and day-to-day activity tracking 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

Bigin by Zoho: SMB CRM source for leads, deals, and activity tracking.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Bigin by Zoho entities map to ClickHouse

Bigin by Zoho entityClickHouse objectNotes
SMB leadsbigin_by_zoho_smb_leadsid PK · custom fields → JSON or Map columns
contactsbigin_by_zoho_contactsid PK · linked to bigin_by_zoho_smb_leads
dealsbigin_by_zoho_dealsid PK · linked to bigin_by_zoho_smb_leads
day-to-day activity trackingbigin_by_zoho_day_to_day_activity_trackingDateTime64 events

FAQ

How does Datrise handle Bigin by Zoho'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 Bigin by Zoho 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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