DatriseAI-first ETL

Vincle Apache Superset

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

How Datrise loads Vincle into Apache Superset

Datrise syncs Vincle's contacts, accounts, deals, activities, and lifecycle events 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

Vincle: European CRM for SMB and mid-market sales teams.

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

How Vincle entities map to Apache Superset

Vincle entityApache Superset objectNotes
contactsvincle_contactsid PK · custom fields → flattened columns for the explore UI
accountsvincle_accountsid PK · linked to vincle_contacts
dealsvincle_dealsid PK · linked to vincle_contacts
activitiesvincle_activitiestemporal columns for time-series charts events

FAQ

How does Datrise handle Vincle'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 Vincle to Apache Superset sync stay up to date?

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

Related pipelines

Early access

Connect Vincle to Apache Superset the easy way

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