Excel File to Redash Integration

How Datrise loads Excel File into Redash

Datrise syncs Excel File's worksheets, rows, columns, headers, cell ranges, and workbooks into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Excel File: Spreadsheet workbooks from exports and shared drives.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Excel File entities map to Redash

Excel File entity	Redash object	Notes
worksheets	`excel_file_worksheets`	id PK · custom fields → flattened columns for query results
rows	`excel_file_rows`	id PK · linked to excel_file_worksheets
columns	`excel_file_columns`	id PK · linked to excel_file_worksheets
headers	`excel_file_headers`	id PK · linked to excel_file_worksheets

FAQ

How does Datrise handle Excel File's custom fields in Redash?

Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.

How does the Excel File to Redash sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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