DatriseAI-first ETL

Excel File PlanetScale

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

How Datrise loads Excel File into PlanetScale

Datrise syncs Excel File's records, events, and configuration objects 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

Excel File: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Excel File entities map to PlanetScale

Excel File entityPlanetScale objectNotes
recordsexcel_file_recordsid PK · custom fields → JSON columns
eventsexcel_file_eventsDATETIME events
configuration objectsexcel_file_configuration_objectsid PK · linked to excel_file_records

FAQ

How does Datrise handle Excel File'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 Excel File 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

Early access

Connect Excel File 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.