---
title: How to migrate your queries from Google Sheets to another Dataslayer destination
description: In this article, we provide a step-by-step guide on how to easily migrate your queries from Google Sheets to other Dataslayer web destinations. This will help you to save time and maintain consistency across platforms!
---
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2. [Google Sheets](https://support.dataslayer.ai/google-sheets?hsLang=en)
September 30, 2025
# How to migrate your queries from Google Sheets to another Dataslayer destination
## In this article, we provide a step-by-step guide on how to easily migrate your queries from Google Sheets to other Dataslayer web destinations. This will help you to save time and maintain consistency across platforms!
If you already use Dataslayer in [Google Sheets](https://app.dataslayer.ai/google_sheets/guide), you may have configured queries you’d like to reuse in other **Dataslayer web destinations**, such as the **API Query Manager**, **BigQuery**, **Power BI**, **Amazon Redshift**, **Amazon S3**, or **Snowflake**.
To avoid rebuilding everything from scratch, Dataslayer offers an **automatic query migration** feature that lets you replicate those queries in other products with just a few clicks.
Migrating your queries allows you to:
- **Save time** by reusing existing query setups.
- **Keep consistency** in your reporting logic across tools.
- **Easily scale** from spreadsheets to cloud or BI platforms.
### How to migrate queries from Google Sheets
**1. Open your Google Sheets document**
Open the Google Sheet where your Dataslayer queries are already built.
**2. Launch the Dataslayer Sidebar**
Go to **Extensions \> Dataslayer \> Launch Sidebar**.
Your configured queries within the document will be listed in the right side panel.
**3. Open migration tool**
In the sidebar, click the **grey “Tools” button**. Then, from the dropdown options, select **“Migrate queries to another destination”** to launch the migration interface.
.png?width=688&height=252&name=Migrate%20queries%20from%20GS%20(1).png)
**4. Select your destination(s)**
Dataslayer supports migration to the following **web destinations**:
- **API Query Manager**
- **BigQuery**
- **Power BI**
- **Amazon Redshift**
- **Amazon S3**
- **Snowflake**
- **Google Cloud Storage**
- **Database**
****
You can select **one or multiple destinations** to migrate your queries to simultaneously!
**5. Select the sheets to migrate**
Choose the specific Google Sheets tabs that contain your Dataslayer queries.
You can select **multiple sheets** at once.
**6\. Click the Migrate queries button.**
The migration will start, and it will take a few moments to complete.
**7. Confirmation and link to the migrated query**
Once the migration is complete, a **confirmation message** will appear along with a **link to the Dataslayer dashboard**, where you can view all your migrated queries. Additionally, a summary will be displayed showing which queries were successfully migrated to each selected destination.
**8. Final adjustments**
Keep in mind that the **queries will be copied but not executed automatically**. You’ll need to **run them manually at least once** in each destination to complete the setup and load the initial data.
After migration, navigate to each selected destination to review or adjust the migrated queries as needed. For destinations like **BigQuery, Amazon S3, Redshift**, or **Snowflake**, be sure to **configure the sync frequency** for each query to ensure ongoing data updates.
.png?width=688&height=378&name=NEW%20UI%202025%20-%20About%20the%20Hub%20%20refresh%20credentials%20(3).png)
By migrating your queries to Dataslayer’s web destinations, you can **standardize and scale** your marketing analytics workflows across platforms—without losing time or consistency. Whether you’re moving to BigQuery for large-scale storage, Power BI for dashboarding, or Snowflake for enterprise warehousing, Dataslayer helps you bridge the gap with seamless, one-click migration.
As always, please get in touch with us via our live chat on [our website](http://dataslayer.ai/) or [via email](mailto:info@dataslayer.ai) if you still have doubts or questions. We are happy to help!
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