FullStory → PlanetScale
AI-first ETL from FullStory into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads FullStory into PlanetScale
Datrise syncs FullStory's sessions, events, funnels, frustration signals, and user properties 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
FullStory: Digital experience analytics with session replay context.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How FullStory entities map to PlanetScale
| FullStory entity | PlanetScale object | Notes |
|---|---|---|
| sessions | fullstory_sessions | id PK · custom fields → JSON columns |
| events | fullstory_events | DATETIME events |
| funnels | fullstory_funnels | id PK · linked to fullstory_sessions |
| frustration signals | fullstory_frustration_signals | id PK · linked to fullstory_sessions |
FAQ
How does Datrise handle FullStory'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 FullStory 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 FullStory
More sources for PlanetScale
Early access
Connect FullStory to PlanetScale the easy way
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