DatriseAI-first ETL

Freshsales Apache Superset

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

How Datrise loads Freshsales into Apache Superset

Datrise syncs Freshsales's leads, contacts, deals, calls, and email activity telemetry 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

Freshsales: CRM by Freshworks with built-in phone and email.

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

How Freshsales entities map to Apache Superset

Freshsales entityApache Superset objectNotes
leadsfreshsales_leadsid PK · custom fields → flattened columns for the explore UI
contactsfreshsales_contactsid PK · linked to freshsales_leads
dealsfreshsales_dealsid PK · linked to freshsales_leads
callsfreshsales_callsid PK · linked to freshsales_leads

FAQ

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

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

Related pipelines

Early access

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