DatriseAI-first ETL

CSV File to Spreadsheets Integration

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

How Datrise loads CSV File into Spreadsheets

Datrise syncs CSV File's rows, columns, headers, delimiters, file batches, and encodings 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

CSV File: Delimited flat files from exports and drops.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How CSV File entities map to Spreadsheets

CSV File entitySpreadsheets objectNotes
rowscsv_file_rowsid PK · custom fields → JSON-stringified cells for nested fields
columnscsv_file_columnsid PK · linked to csv_file_rows
headerscsv_file_headersid PK · linked to csv_file_rows
delimiterscsv_file_delimitersid PK · linked to csv_file_rows

FAQ

How does Datrise handle CSV 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 CSV 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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