DatriseAI-first ETL

Google Sheets Redash

AI-first ETL from Google Sheets into Redash. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Sheets into Redash

Datrise syncs Google Sheets's spreadsheet-based CRM rows, updates, and operational workflow tables 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

Google Sheets: Spreadsheet CRM workflows and lightweight pipelines.

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

How Google Sheets entities map to Redash

Google Sheets entityRedash objectNotes
spreadsheet-based CRM rowsgoogle_sheets_spreadsheet_based_crm_rowsid PK · custom fields → flattened columns for query results
updatesgoogle_sheets_updatesid PK · linked to google_sheets_spreadsheet_based_crm_rows
operational workflow tablesgoogle_sheets_operational_workflow_tablesid PK · linked to google_sheets_spreadsheet_based_crm_rows

FAQ

How does Datrise handle Google Sheets'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 Google Sheets to Redash sync stay up to date?

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

Related pipelines

Early access

Connect Google Sheets to Redash the easy way

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