DatriseAI-first ETL

DealerSocket ClickHouse

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

How Datrise loads DealerSocket into ClickHouse

Datrise syncs DealerSocket'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

DealerSocket: Automotive dealer CRM for leads, inventory, and showroom workflows.

ClickHouse: Columnar OLAP engine for fast aggregations.

How DealerSocket entities map to ClickHouse

DealerSocket entityClickHouse objectNotes
contactsdealersocket_contactsid PK · custom fields → JSON or Map columns
accountsdealersocket_accountsid PK · linked to dealersocket_contacts
dealsdealersocket_dealsid PK · linked to dealersocket_contacts
activitiesdealersocket_activitiesDateTime64 events

FAQ

How does Datrise handle DealerSocket'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 DealerSocket 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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