DatriseAI-first ETL

Google Sheets DuckDB

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

How Datrise loads Google Sheets into DuckDB

Datrise syncs Google Sheets's spreadsheet-based CRM rows, updates, and operational workflow tables into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

Google Sheets: Spreadsheet CRM workflows and lightweight pipelines.

DuckDB: In-process analytics database for fast local OLAP.

How Google Sheets entities map to DuckDB

Google Sheets entityDuckDB objectNotes
spreadsheet-based CRM rowsgoogle_sheets_spreadsheet_based_crm_rowsid PK · custom fields → JSON or STRUCT columns
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 DuckDB?

Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.

How does the Google Sheets to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

Connect Google Sheets to DuckDB the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.