Reply.io to PlanetScale Integration

How Datrise loads Reply.io into PlanetScale

Datrise syncs Reply.io's campaigns, prospects, sequences, email events, calls, and replies 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

Reply.io: Multichannel sales engagement sequences.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Reply.io entities map to PlanetScale

Reply.io entity	PlanetScale object	Notes
campaigns	`reply_io_campaigns`	id PK · custom fields → JSON columns
prospects	`reply_io_prospects`	id PK · linked to reply_io_campaigns
sequences	`reply_io_sequences`	id PK · linked to reply_io_campaigns
email events	`reply_io_email_events`	DATETIME events

FAQ

How does Datrise handle Reply.io'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 Reply.io 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

Early access

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