Salesflare → Metabase
AI-first ETL from Salesflare into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into Metabase
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.
Ideal for self-serve questions and dashboards for whole teams.
Endpoints
Salesflare: B2B CRM focused on automation and relationship timeline data.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How Salesflare entities map to Metabase
| Salesflare entity | Metabase object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → flattened columns for the question builder |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | temporal columns for trends events |
FAQ
How does Datrise handle Salesflare's custom fields in Metabase?
Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.
How does the Salesflare to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Salesflare
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