Salesflare → Redash
AI-first ETL from Salesflare into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into Redash
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Salesflare: B2B CRM focused on automation and relationship timeline data.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Salesflare entities map to Redash
| Salesflare entity | Redash object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → flattened columns for query results |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | temporal columns events |
FAQ
How does Datrise handle Salesflare's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Salesflare to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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