DatriseAI-first ETL

Salesloft Supabase

AI-first ETL from Salesloft into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesloft into Supabase

Datrise syncs Salesloft's cadence activity, conversation signals, and revenue workflow execution 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

Salesloft: Revenue workflow platform for cadences, conversations, and coaching signals.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Salesloft entities map to Supabase

Salesloft entitySupabase objectNotes
cadence activitysalesloft_cadence_activitytimestamptz events
conversation signalssalesloft_conversation_signalsid PK · linked to salesloft_cadence_activity
revenue workflow executionsalesloft_revenue_workflow_executionid PK · linked to salesloft_cadence_activity

FAQ

How does Datrise handle Salesloft'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 Salesloft to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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