Outreach → PlanetScale
AI-first ETL from Outreach into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Outreach into PlanetScale
Datrise syncs Outreach's sequence activity, pipeline execution metrics, and sales engagement events 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
Outreach: Sales execution platform for sequence activity and pipeline outcomes.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Outreach entities map to PlanetScale
| Outreach entity | PlanetScale object | Notes |
|---|---|---|
| sequence activity | outreach_sequence_activity | DATETIME events |
| pipeline execution metrics | outreach_pipeline_execution_metrics | id PK · linked to outreach_sequence_activity |
| sales engagement events | outreach_sales_engagement_events | DATETIME events |
FAQ
How does Datrise handle Outreach'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 Outreach 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 Outreach
More sources for PlanetScale
Early access
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