DatriseAI-first ETL

VinSolutions ClickHouse

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

How Datrise loads VinSolutions into ClickHouse

Datrise syncs VinSolutions'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

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

ClickHouse: Columnar OLAP engine for fast aggregations.

How VinSolutions entities map to ClickHouse

VinSolutions entityClickHouse objectNotes
contactsvinsolutions_contactsid PK · custom fields → JSON or Map columns
accountsvinsolutions_accountsid PK · linked to vinsolutions_contacts
dealsvinsolutions_dealsid PK · linked to vinsolutions_contacts
activitiesvinsolutions_activitiesDateTime64 events

FAQ

How does Datrise handle VinSolutions'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 VinSolutions 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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