DatriseAI-first ETL

Redtail CRM ClickHouse

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

How Datrise loads Redtail CRM into ClickHouse

Datrise syncs Redtail 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

Redtail CRM: Financial advisor CRM for clients, households, and compliance workflows.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Redtail CRM entities map to ClickHouse

Redtail CRM entityClickHouse objectNotes
contactsredtail_contactsid PK · custom fields → JSON or Map columns
accountsredtail_accountsid PK · linked to redtail_contacts
dealsredtail_dealsid PK · linked to redtail_contacts
activitiesredtail_activitiesDateTime64 events

FAQ

How does Datrise handle Redtail 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 Redtail 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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