Appfollow to PlanetScale Integration
AI-first ETL from Appfollow into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Appfollow into PlanetScale
Datrise syncs Appfollow's reviews, ratings, app rankings, keywords, replies, and store listings 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
Appfollow: App store review and rankings monitoring.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Appfollow entities map to PlanetScale
| Appfollow entity | PlanetScale object | Notes |
|---|---|---|
| reviews | appfollow_reviews | id PK · custom fields → JSON columns |
| ratings | appfollow_ratings | id PK · linked to appfollow_reviews |
| app rankings | appfollow_app_rankings | id PK · linked to appfollow_reviews |
| keywords | appfollow_keywords | id PK · linked to appfollow_reviews |
FAQ
How does Datrise handle Appfollow'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 Appfollow 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 Appfollow to PlanetScale the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.