DatriseAI-first ETL

Fauna to Spreadsheets Integration

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

How Datrise loads Fauna into Spreadsheets

Datrise syncs Fauna's collections, documents, indexes, functions, database schemas, and document history 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

Fauna: Distributed document-relational database.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Fauna entities map to Spreadsheets

Fauna entitySpreadsheets objectNotes
collectionsfauna_collectionsid PK · custom fields → JSON-stringified cells for nested fields
documentsfauna_documentsid PK · linked to fauna_collections
indexesfauna_indexesid PK · linked to fauna_collections
functionsfauna_functionsid PK · linked to fauna_collections

FAQ

How does Datrise handle Fauna'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 Fauna to Spreadsheets sync stay up to date?

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

Related pipelines

Early access

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