Salesloft → PlanetScale
AI-first ETL from Salesloft into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesloft into PlanetScale
Datrise syncs Salesloft's cadence activity, conversation signals, and revenue workflow execution into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Salesloft: Revenue workflow platform for cadences, conversations, and coaching signals.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Salesloft entities map to PlanetScale
| Salesloft entity | PlanetScale object | Notes |
|---|---|---|
| cadence activity | salesloft_cadence_activity | DATETIME 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 PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the Salesloft to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Salesloft
More sources for PlanetScale
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