How to load data from Clickhouse to Google Sheets

Learn how to use Airbyte to synchronize your Clickhouse data into Google Sheets within minutes.


This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Clickhouse as a source connector (using Auth, or usually an API key)
  2. set up Google Sheets as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Clickhouse

An open-source database management system for online analytical processing (OLAP), ClickHouse takes the innovative approach of using a column-based database. It is easy to use right out of the box and is touted as being hardware efficient, extremely reliable, linearly scalable, and “blazing fast”—between 100-1,000x faster than traditional databases that write rows of data to the disk—allowing analytical data reports to be generated in real-time.

What is Google Sheets

Google Sheets is a cloud-based spreadsheet tool that allows users to create, edit, and share spreadsheets online. It is a part of the Google Drive suite of productivity tools and is accessible from any device with an internet connection. Google Sheets offers a range of features that make it a powerful tool for data analysis, project management, and collaboration. Users can create and format spreadsheets, add formulas and functions, and create charts and graphs to visualize data. Google Sheets also allows users to collaborate in real-time, making it easy to work on projects with others. Users can share spreadsheets with specific people or make them public, and can control who has access to edit or view the document. Additionally, Google Sheets integrates with other Google tools such as Google Forms, allowing users to collect data and automatically populate it into a spreadsheet. Overall, Google Sheets is a versatile and user-friendly tool that can be used for a variety of tasks, from simple calculations to complex data analysis.


  1. A Clickhouse account to transfer your customer data automatically from.
  2. A Google Sheets account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Clickhouse and Google Sheets, for seamless data migration.

When using Airbyte to move data from Clickhouse to Google Sheets, it extracts data from Clickhouse using the source connector, converts it into a format Google Sheets can ingest using the provided schema, and then loads it into Google Sheets via the destination connector. This allows businesses to leverage their Clickhouse data for advanced analytics and insights within Google Sheets, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Clickhouse as a source connector

1. First, navigate to the Airbyte dashboard and click on the "Destinations" tab on the left-hand side of the screen.
2. Next, click on the "Add Destination" button in the top right corner of the screen.
3. Select "ClickHouse" from the list of available destinations.
4. Enter the necessary information for your ClickHouse database, including the host, port, username, and password.
5. Choose the database and table you want to connect to from the dropdown menus.
6. Configure any additional settings, such as the batch size or maximum number of retries.
7. Test the connection to ensure that everything is working properly.
8. Once you have successfully connected to your ClickHouse database, you can begin syncing data from your source connectors to your ClickHouse destination.

Step 2: Set up Google Sheets as a destination connector

1. Go to the Airbyte website and log in to your account.
2. Click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Google Sheets" destination connector and click on it.
4. Click on the "Create Destination" button.
5. Enter a name for your destination and click on the "Create" button.
6. You will be redirected to the Google Sheets authorization page. Sign in to your Google account if you haven't already.
7. Click on the "Allow" button to grant Airbyte access to your Google Sheets account.
8. You will be redirected back to the Airbyte website. Select the Google Sheets destination you just created from the list of destinations.
9. Enter the name of the spreadsheet you want to use as your destination and select the worksheet you want to use.
10. Click on the "Test" button to make sure the connection is working properly.
11. If the test is successful, click on the "Save" button to save your destination settings.
12. You can now use the Google Sheets destination connector to transfer data from your source to your Google Sheets destination.

Step 3: Set up a connection to sync your Clickhouse data to Google Sheets

Once you've successfully connected Clickhouse as a data source and Google Sheets as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Clickhouse from the dropdown list of your configured sources.
  3. Select your destination: Choose Google Sheets from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Clickhouse objects you want to import data from towards Google Sheets. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Clickhouse to Google Sheets according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Google Sheets data warehouse is always up-to-date with your Clickhouse data.

Use Cases to transfer your Clickhouse data to Google Sheets

Integrating data from Clickhouse to Google Sheets provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Google Sheets’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Clickhouse data, extracting insights that wouldn't be possible within Clickhouse alone.
  2. Data Consolidation: If you're using multiple other sources along with Clickhouse, syncing to Google Sheets allows you to centralize your data for a holistic view of your operations
  3. Historical Data Analysis: Clickhouse has limits on historical data. Syncing data to Google Sheets allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Google Sheets provides robust data security features. Syncing Clickhouse data to Google Sheets ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Google Sheets can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Clickhouse data.
  6. Data Science and Machine Learning: By having Clickhouse data in Google Sheets, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Clickhouse provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Google Sheets, providing more advanced business intelligence options.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Clickhouse account as an Airbyte data source connector.
  2. Configure Google Sheets as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Clickhouse to Google Sheets after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

Frequently Asked Questions

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What data can you extract from Clickhouse?

What data can you transfer to Google Sheets?

You can transfer a wide variety of data to Google Sheets. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Clickhouse to Google Sheets?

The most prominent ETL tools to transfer data from Clickhouse to Google Sheets include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Clickhouse and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Google Sheets and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.