DatriseAI-first ETL

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 entityPlanetScale objectNotes
campaignsmailshake_campaignsid PK · custom fields → JSON columns
recipientsmailshake_recipientsid PK · linked to mailshake_campaigns
sequencesmailshake_sequencesid PK · linked to mailshake_campaigns
email eventsmailshake_email_eventsDATETIME 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.

Related pipelines

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