Mailshake to PlanetScale Integration
AI-first ETL from Mailshake into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mailshake into PlanetScale
Datrise syncs Mailshake's campaigns, recipients, sequences, email events, replies, and leads 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
Mailshake: Cold outreach sequences and reply tracking.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Mailshake entities map to PlanetScale
| Mailshake entity | PlanetScale object | Notes |
|---|---|---|
| campaigns | mailshake_campaigns | id PK · custom fields → JSON columns |
| recipients | mailshake_recipients | id PK · linked to mailshake_campaigns |
| sequences | mailshake_sequences | id PK · linked to mailshake_campaigns |
| email events | mailshake_email_events | DATETIME events |
FAQ
How does Datrise handle Mailshake'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 Mailshake to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
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Early access
Connect Mailshake to PlanetScale the easy way
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