Keap → ClickHouse
AI-first ETL from Keap into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Keap into ClickHouse
Datrise syncs Keap's SMB contacts, opportunities, automations, and appointment workflows 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
Keap: SMB CRM with pipeline automation, email, and appointment flows.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Keap entities map to ClickHouse
| Keap entity | ClickHouse object | Notes |
|---|---|---|
| SMB contacts | keap_smb_contacts | id PK · custom fields → JSON or Map columns |
| opportunities | keap_opportunities | id PK · linked to keap_smb_contacts |
| automations | keap_automations | id PK · linked to keap_smb_contacts |
| appointment workflows | keap_appointment_workflows | id PK · linked to keap_smb_contacts |
FAQ
How does Datrise handle Keap'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 Keap 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.
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