DatriseAI-first ETL

MongoDB Spreadsheets

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

How Datrise loads MongoDB into Spreadsheets

Datrise syncs MongoDB's collections, documents, change streams, and schema snapshots into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

MongoDB: Document database often used as an operational source for analytics.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How MongoDB entities map to Spreadsheets

MongoDB entitySpreadsheets objectNotes
collectionsmongodb_collectionsid PK · custom fields → JSON-stringified cells for nested fields
documentsmongodb_documentsid PK · linked to mongodb_collections
change streamsmongodb_change_streamsISO-8601 text or serial date cells events
schema snapshotsmongodb_schema_snapshotsid PK · linked to mongodb_collections

FAQ

How does Datrise handle MongoDB's custom fields in Spreadsheets?

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

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

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

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