DatriseAI-first ETL

Zapier Storage to PlanetScale Integration

AI-first ETL from Zapier Storage into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Zapier Storage into PlanetScale

Datrise syncs Zapier Storage's stored values, keys, secrets, zaps, update events, and storage buckets 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

Zapier Storage: Key-value storage used by Zapier automations.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Zapier Storage entities map to PlanetScale

Zapier Storage entityPlanetScale objectNotes
stored valueszapier_supported_storage_stored_valuesid PK · custom fields → JSON columns
keyszapier_supported_storage_keysid PK · linked to zapier_supported_storage_stored_values
secretszapier_supported_storage_secretsid PK · linked to zapier_supported_storage_stored_values
zapszapier_supported_storage_zapsid PK · linked to zapier_supported_storage_stored_values

FAQ

How does Datrise handle Zapier Storage'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 Zapier Storage 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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