DatriseAI-first ETL

RD Station CRM ClickHouse

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

How Datrise loads RD Station CRM into ClickHouse

Datrise syncs RD Station CRM'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

RD Station CRM: CRM widely used in Latin America for sales pipeline and customer ops.

ClickHouse: Columnar OLAP engine for fast aggregations.

How RD Station CRM entities map to ClickHouse

RD Station CRM entityClickHouse objectNotes
contactsrd_station_crm_contactsid PK · custom fields → JSON or Map columns
accountsrd_station_crm_accountsid PK · linked to rd_station_crm_contacts
dealsrd_station_crm_dealsid PK · linked to rd_station_crm_contacts
activitiesrd_station_crm_activitiesDateTime64 events

FAQ

How does Datrise handle RD Station 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 RD Station 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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