DatriseAI-first ETL

Smartsheet to PlanetScale Integration

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

How Datrise loads Smartsheet into PlanetScale

Datrise syncs Smartsheet's sheets, rows, columns, cells, attachments, and comments 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

Smartsheet: Spreadsheet-style work and project management.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Smartsheet entities map to PlanetScale

Smartsheet entityPlanetScale objectNotes
sheetssmartsheets_sheetsid PK · custom fields → JSON columns
rowssmartsheets_rowsid PK · linked to smartsheets_sheets
columnssmartsheets_columnsid PK · linked to smartsheets_sheets
cellssmartsheets_cellsid PK · linked to smartsheets_sheets

FAQ

How does Datrise handle Smartsheet'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 Smartsheet 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

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