Connect Google Sheets to your datalake
Bring Google Sheets data into a central environment, refreshed at the frequency you set and ready for dashboards, AI and reports — no manual exports.
Connector status
Available. It can be configured and run today, in the platform's normal flow.
The problem
Data that lives in Google Sheets (Google's collaborative spreadsheets) tends to stay isolated from the rest of the company. To analyze it alongside ERP, spreadsheets and other sources, someone exports and cross-references everything by hand — creating rework and risk of error.
How to connect Google Sheets
You set up the Google Sheets connection once, define the refresh frequency and data starts arriving in your datalake on schedule, organized in layers.
The spreadsheet becomes a real table
A lot of real operations live in Google Sheets: sales targets, inventory controls, records kept by hand. The connector reads the spreadsheet at the scheduled frequency and materializes its contents as a table in the datalake — with load history. The team keeps editing the spreadsheet as usual; analysis reads the cleaned version.
Spreadsheet combined with the rest of the company
This is where Sheets gets superpowers: the target that lives in the spreadsheet meets the actuals coming from the ERP, in the same attainment dashboard. And the AI answers questions like "which sales reps are below 80% of target this month?" by combining both sources.
What you get
- Google Sheets data centralized alongside your other sources
- Scheduled ingestion at the frequency the business needs
- Organization into Bronze, Silver and Gold layers
- Dashboards in the native BI and natural-language questions to the AI
- Prepared data readable by Power BI, Excel and other tools
How ingestia.io helps
ingestia.io connects Google Sheets, databases, files, spreadsheets and systems on a single data platform, with scheduled ingestion and governance. It's the middle path between the convenience of a spreadsheet and the reliability of a database: the team edits in Sheets, the company analyzes on the platform — with a monthly plan and usage credits.
Does your company need to centralize data?
Take the ingestia.io Data Structure Simulator and find out which path makes the most sense to organize your sources, cut rework and build a reliable foundation for reports, dashboards and integrations.