DatriseAI-first ETL

Keap Apache Superset

AI-first ETL from Keap into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads Keap into Apache Superset

Datrise syncs Keap's SMB contacts, opportunities, automations, and appointment workflows into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Keap: SMB CRM with pipeline automation, email, and appointment flows.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Keap entities map to Apache Superset

Keap entityApache Superset objectNotes
SMB contactskeap_smb_contactsid PK · custom fields → flattened columns for the explore UI
opportunitieskeap_opportunitiesid PK · linked to keap_smb_contacts
automationskeap_automationsid PK · linked to keap_smb_contacts
appointment workflowskeap_appointment_workflowsid PK · linked to keap_smb_contacts

FAQ

How does Datrise handle Keap's custom fields in Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the Keap to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect Keap to Apache Superset the easy way

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