DatriseAI-first ETL

Salesloft PostgreSQL

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

How Datrise loads Salesloft into PostgreSQL

Datrise syncs Salesloft's cadence activity, conversation signals, and revenue workflow execution into PostgreSQL as a typed table per source entity. 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Salesloft entities map to PostgreSQL

Salesloft entityPostgreSQL 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 PostgreSQL?

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 PostgreSQL types.

How does the Salesloft to PostgreSQL sync stay up to date?

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

Related pipelines

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