Pendo → PlanetScale
AI-first ETL from Pendo into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pendo into PlanetScale
Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata 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
Pendo: Product analytics and in-app guidance for SaaS teams.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Pendo entities map to PlanetScale
| Pendo entity | PlanetScale object | Notes |
|---|---|---|
| events | pendo_events | DATETIME events |
| guides | pendo_guides | id PK · linked to pendo_events |
| NPS | pendo_nps | id PK · linked to pendo_events |
| feature adoption | pendo_feature_adoption | id PK · linked to pendo_events |
FAQ
How does Datrise handle Pendo'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 Pendo 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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Early access
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