Salesflare → Supabase
AI-first ETL from Salesflare into Supabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into Supabase
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.
Ideal for app builders who want CRM data alongside their Supabase product data.
Endpoints
Salesflare: B2B CRM focused on automation and relationship timeline data.
Supabase: Postgres platform with auth, storage, and realtime APIs.
How Salesflare entities map to Supabase
| Salesflare entity | Supabase object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → jsonb columns |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | timestamptz events |
FAQ
How does Datrise handle Salesflare's custom fields in Supabase?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.
How does the Salesflare to Supabase sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
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