Clay to PlanetScale Integration
AI-first ETL from Clay into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Clay into PlanetScale
Datrise syncs Clay's tables, rows, enrichment runs, waterfalls, data sources, and exported lists 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
Clay: Data enrichment tables that build outbound lists.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Clay entities map to PlanetScale
| Clay entity | PlanetScale object | Notes |
|---|---|---|
| tables | clay_tables | id PK · custom fields → JSON columns |
| rows | clay_rows | id PK · linked to clay_tables |
| enrichment runs | clay_enrichment_runs | id PK · linked to clay_tables |
| waterfalls | clay_waterfalls | id PK · linked to clay_tables |
FAQ
How does Datrise handle Clay'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 Clay 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 Clay
More sources for PlanetScale
Early access
Connect Clay to PlanetScale the easy way
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