DatriseAI-first ETL

Smartsheet to MongoDB Integration

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

How Datrise loads Smartsheet into MongoDB

Datrise syncs Smartsheet's sheets, rows, columns, cells, attachments, and comments into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.

Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.

Ideal for document-oriented apps that want CRM data in their existing Mongo store.

Endpoints

Smartsheet: Spreadsheet-style work and project management.

MongoDB: Document database for flexible schemas.

How Smartsheet entities map to MongoDB

Smartsheet entityMongoDB objectNotes
sheetssmartsheets_sheetsid PK · custom fields → native nested documents
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 MongoDB?

Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.

How does the Smartsheet to MongoDB sync stay up to date?

It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.

Related pipelines

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