Efficy CRM to Apache Superset Integration
AI-first ETL from Efficy CRM into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Efficy CRM into Apache Superset
Datrise syncs Efficy CRM's contacts, companies, opportunities, actions, campaigns, and service tickets 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
Efficy CRM: European CRM suite for sales, marketing, and service.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Efficy CRM entities map to Apache Superset
| Efficy CRM entity | Apache Superset object | Notes |
|---|---|---|
| contacts | efficy_contacts | id PK · custom fields → flattened columns for the explore UI |
| companies | efficy_companies | id PK · linked to efficy_contacts |
| opportunities | efficy_opportunities | id PK · linked to efficy_contacts |
| actions | efficy_actions | id PK · linked to efficy_contacts |
FAQ
How does Datrise handle Efficy CRM'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 Efficy CRM to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
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Early access
Connect Efficy CRM to Apache Superset the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.