How much does it cost to replicate data from Google Sheets to Databricks?

The cost depends on the amount of data in your Google Sheets that you want to replicate to Databricks. Check out our [pricing page](https://renta.im/pricing/) for more information. You can also [request a demo](https://renta.im/demo/) at any time!

Is there a limit on the amount of pipelines from Google Sheets to Databricks?

The amount of data streams you can create is not limited. Moreover, the amount of created integrations does increase the data replication price either.

How much time do I need to create a Google Sheets and Databricks integration?

Renta's user-friendly interface allows you to create integrations in less than 5 minutes. All you need to start is your login data to Google Sheets and Databricks.

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ETL Google Sheets data to Databricks

Renta ELT is a simple way to create data pipelines in minutes. Not months.

Trusted by teams at

Google Sheets is a powerful tool for collaborative data management and reporting.
Renta Marketing ELT seamlessly transfers your Google Sheets data to Databricks, enabling advanced analytics and automated workflows without manual exports.
Enjoy secure, real-time data integration that empowers your team to make faster, data-driven decisions.

Set up your ELT pipeline in 3 simple steps

Select Google Sheets as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Google Sheets as the data source in Renta.

1Connect your source

Select Google Sheets as your data source and securely authenticate your account to initiate the data extraction process.

2Identify the destination

3Configure and synchronize

The data structure of the Google Sheets API

Renta supports 6 methods of data export using the Google Sheets API.

spreadsheets.create

Creates a new Google Sheets spreadsheet, initializing its structure and metadata. Useful for programmatically generating sheets for data storage or reporting.

spreadsheets.get

Retrieves the entire structure and properties of a spreadsheet, including sheet metadata, formatting, and data ranges. Essential for accessing and analyzing spreadsheet contents.

spreadsheets.values.get

Fetches the values from a specified range of cells within a spreadsheet. Commonly used to extract tabular data for ETL pipelines or analytics workflows.

spreadsheets.values.update

Updates cell values within a specified range in a spreadsheet. Enables automated data entry, transformation, or synchronization tasks.

spreadsheets.values.append

Appends new rows of data to the end of a specified range or sheet. Ideal for incremental data loading or logging use cases.

spreadsheets.batchUpdate

Performs multiple updates to a spreadsheet in a single request, such as adding sheets, modifying formatting, or changing structure. Useful for bulk operations and optimizing API usage.

Use cases

Unlock actionable Google Sheets insights

Sync campaign performance data from Google Sheets to Databricks for advanced ROI analysis
Automate lead scoring by merging Google Sheets inputs with Databricks predictive models
Track and visualize sales targets by integrating Google Sheets forecasts with Databricks dashboards
Aggregate survey results from Google Sheets and enrich insights using Databricks analytics
Streamline budget tracking by consolidating Google Sheets expenses in Databricks reports
Enable real-time anomaly detection by feeding Google Sheets data into Databricks workflows