DatriseAI-first ETL

Parquet File to Spreadsheets Integration

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

How Datrise loads Parquet File into Spreadsheets

Datrise syncs Parquet File's row groups, columns, schemas, partitions, file batches, and column statistics 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

Parquet File: Columnar Parquet files from lakes and exports.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Parquet File entities map to Spreadsheets

Parquet File entitySpreadsheets objectNotes
row groupsparquet_file_row_groupsid PK · custom fields → JSON-stringified cells for nested fields
columnsparquet_file_columnsid PK · linked to parquet_file_row_groups
schemasparquet_file_schemasid PK · linked to parquet_file_row_groups
partitionsparquet_file_partitionsid PK · linked to parquet_file_row_groups

FAQ

How does Datrise handle Parquet 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 Parquet 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

Early access

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