What specific data can I extract from Google Sheets using Kondado?

You can replicate structured spreadsheet data through the Spreadsheet pipeline, which extracts fields including col_x, col_y, and col_z from your organized worksheets. This enables you to work with columnar data such as sales figures, inventory counts, or campaign metrics in external analytics tools.

How do I connect Google Sheets to Power BI or BigQuery?

Start by adding Google Sheets as a data source in Kondado, authenticate with your Google account, then select the Spreadsheet pipeline and choose your destination. You can send data to Power BI , BigQuery , PostgreSQL , or Looker Studio with just a few clicks.

How often does Kondado update my Google Sheets data?

Kondado updates your data on a configurable schedule that you control, ranging from every 5 minutes for near-real-time monitoring to daily batches for periodic reporting. This automation eliminates the need for manual CSV downloads and uploads.

Can I create pivot tables and charts from my Google Sheets data?

Yes, once your data flows into BI tools or databases, you can create advanced pivot table google sheets analyses and google sheets graph visualizations that exceed native capabilities. Send your data to Power BI or Looker Studio to build interactive dashboards with complex filtering and drill-down features.

What types of dashboards can I build with Google Sheets data?

You can construct custom reports for budget tracking, sales forecasting, marketing attribution, and operational KPIs by combining spreadsheet metrics with other business data. While no pre-built templates exist, you have full flexibility to design charts and reports specific to your col_x, col_y, and col_z data points.

Is this compatible with Excel or other Microsoft tools?

While Kondado focuses on Google Sheets as a data source, you can replicate your Google Sheets data to destinations that support Excel formats or to SQL Server and Amazon S3 for further processing. This bridges the gap between sheets microsoft environments and modern cloud analytics.

Can I analyze Google Sheets data alongside other marketing platforms?

Absolutely. By replicating your spreadsheets into a central warehouse like BigQuery or PostgreSQL , you can join Google Sheets analytics with Facebook Ads, Google Ads, and CRM data to calculate comprehensive campaign ROI and customer lifetime value metrics.

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Connect Google Sheets to Power BI, BigQuery & More

Google Sheets stores your team’s critical business data, from sales forecasts and budget trackers to marketing campaign metrics and inventory logs. With Kondado, you can replicate this Google Sheets data directly into your preferred analytics environment, extracting structured information from any spreadsheet organized with columnar data. Whether you are tracking lead generation in col_x, monitoring expenses in col_y, or analyzing performance indicators in col_z, every cell becomes available for deeper analysis outside the browser interface.

Kondado provides 1 pipeline with 3 fields from Google Sheets, enabling you to replicate organized spreadsheet data including col_x, col_y, and col_z into databases, BI tools, or other destinations on a configurable schedule.

The Kondado platform takes care of refreshing Google Sheets data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Google Sheets data in your report, spreadsheet, data warehouse, data lake, or database

Marketing teams can merge campaign performance data from Google Sheets analytics with advertising platforms to calculate true ROI, while data analysts build comprehensive reports combining spreadsheet metrics with warehouse data for cross-functional insights. Operations managers use these pipelines to automate inventory tracking and financial reporting, eliminating manual CSV exports. Finance professionals create pivot table Google Sheets analyses in BigQuery or PostgreSQL, running complex calculations that exceed native spreadsheet capabilities.

Available Google Sheets Pipelines

The Google Sheets data source offers structured pipelines that transform your spreadsheets into queryable datasets. The Spreadsheet pipeline captures organized data from col_x, col_y, and col_z, enabling you to generate google sheets graph visualizations in Looker Studio, create pivot table google sheets analyses in Power BI, build automated inventory trackers in BigQuery, and compile budget variance reports in PostgreSQL for comprehensive financial oversight. You can combine these Google Sheets pipelines with CRM data, advertising metrics, or e-commerce transactions to uncover correlations between spreadsheet forecasts and actual sales performance, creating a single source of truth across your organization. With updates running on a configurable schedule from every 5 minutes to daily, you can monitor KPIs continuously without manual refreshes, ensuring your charts and dashboards always reflect the latest cell values.

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Available Google Sheets data

available pipeline

extractable fields

Available integrations

Integration	Description
Spreadsheet	Integrates organized data with fields such as col_x, col_y, and col_z, enabling detailed analysis and information cross-referencing.

Spreadsheet

Integrates organized data with fields such as col_x, col_y, and col_z, enabling detailed analysis and information cross-referencing.

See all available data →

Try out all the features for free for 14 days

How to visualize Google Sheets data in 3 steps

Connect Google Sheets to dashboards, spreadsheets, or databases — no code required.

Add Google Sheets data source

Connect your Google account to Kondado by selecting Google Sheets from the data source catalog to access your spreadsheets.

Select pipelines and destination

Choose the Spreadsheet pipeline containing col_x, col_y, and col_z fields, then select where to send your data such as Power BI, BigQuery, PostgreSQL, or Google Sheets as a destination for further processing.

Analyze in dashboards, spreadsheets, or databases

Visualize your replicated data by building reports in Looker Studio or Power BI, create pivot tables in destination spreadsheets, or query tables directly in BigQuery and PostgreSQL to run advanced SQL analyses on your cell values.

Try out all the features for free for 14 days