DatriseAI-first ETL

Zendesk Sell ClickHouse

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

How Datrise loads Zendesk Sell into ClickHouse

Datrise syncs Zendesk Sell's leads, deals, activities, and Zendesk-aligned sales operations 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

Zendesk Sell: Sales CRM for lead and deal tracking in Zendesk ecosystems.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Zendesk Sell entities map to ClickHouse

Zendesk Sell entityClickHouse objectNotes
leadszendesk_sell_leadsid PK · custom fields → JSON or Map columns
dealszendesk_sell_dealsid PK · linked to zendesk_sell_leads
activitieszendesk_sell_activitiesDateTime64 events
Zendesk-aligned sales operationszendesk_sell_zendesk_aligned_sales_operationsid PK · linked to zendesk_sell_leads

FAQ

How does Datrise handle Zendesk Sell'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 Zendesk Sell 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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