Salesloft → Oracle Database
AI-first ETL from Salesloft into Oracle Database. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesloft into Oracle Database
Datrise syncs Salesloft's cadence activity, conversation signals, and revenue workflow execution into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.
Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.
Endpoints
Salesloft: Revenue workflow platform for cadences, conversations, and coaching signals.
Oracle Database: Enterprise RDBMS with advanced partitioning and HA.
How Salesloft entities map to Oracle Database
| Salesloft entity | Oracle Database object | Notes |
|---|---|---|
| cadence activity | salesloft_cadence_activity | TIMESTAMP WITH TIME ZONE events |
| conversation signals | salesloft_conversation_signals | id PK · linked to salesloft_cadence_activity |
| revenue workflow execution | salesloft_revenue_workflow_execution | id PK · linked to salesloft_cadence_activity |
FAQ
How does Datrise handle Salesloft's custom fields in Oracle Database?
Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.
How does the Salesloft to Oracle Database sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.
Related pipelines
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Early access
Connect Salesloft to Oracle Database the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.