DatriseAI-first ETL

JSON File to Spreadsheets Integration

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

How Datrise loads JSON File into Spreadsheets

Datrise syncs JSON File's documents, nested objects, arrays, keys, file batches, and schemas 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

JSON File: Structured JSON documents from exports and drops.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How JSON File entities map to Spreadsheets

JSON File entitySpreadsheets objectNotes
documentsjson_file_documentsid PK · custom fields → JSON-stringified cells for nested fields
nested objectsjson_file_nested_objectsid PK · linked to json_file_documents
arraysjson_file_arraysid PK · linked to json_file_documents
keysjson_file_keysid PK · linked to json_file_documents

FAQ

How does Datrise handle JSON File'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 JSON File 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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