DatriseAI-first ETL

Zoho CRM ClickHouse

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

How Datrise loads Zoho CRM into ClickHouse

Datrise syncs Zoho CRM's leads, contacts, accounts, deals, and workflow-driven field changes 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

Zoho CRM: Modular CRM with strong automation and telephony.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Zoho CRM entities map to ClickHouse

Zoho CRM entityClickHouse objectNotes
leadszoho_crm_leadsid PK · custom fields → JSON or Map columns
contactszoho_crm_contactsid PK · linked to zoho_crm_leads
accountszoho_crm_accountsid PK · linked to zoho_crm_leads
dealszoho_crm_dealsid PK · linked to zoho_crm_leads

FAQ

How does Datrise handle Zoho CRM'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 Zoho CRM 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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