Salesflare → Apache Superset
AI-first ETL from Salesflare into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into Apache Superset
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines 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
Salesflare: B2B CRM focused on automation and relationship timeline data.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Salesflare entities map to Apache Superset
| Salesflare entity | Apache Superset object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → flattened columns for the explore UI |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | temporal columns for time-series charts events |
FAQ
How does Datrise handle Salesflare'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 Salesflare 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 Salesflare 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.