How to load data from Metabase to Redshift

Learn how to use Airbyte to synchronize your Metabase data into Redshift within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Metabase connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Redshift for your extracted Metabase data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Metabase to Redshift in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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How to Sync to Manually

Step 1: Prepare Your Metabase Data for Export

Begin by identifying the specific data you need to transfer from Metabase to Redshift. Use Metabase’s query builder to create the necessary SQL queries to extract this data. You can run these queries in Metabase and export the results as a CSV or JSON file, which are formats easily handled by Redshift.

Amazon Redshift can load data from S3, so you’ll need to create an S3 bucket if you haven't already. Log in to your AWS Management Console, navigate to the S3 service, and create a new bucket where you will temporarily store your exported data files from Metabase.

Once you've exported your data from Metabase into CSV or JSON format, upload these files to your newly created S3 bucket. You can do this using the AWS Management Console by navigating to your S3 bucket and selecting the “Upload” option to add files from your local machine.

Ensure that your Redshift cluster has the necessary permissions to access the S3 bucket. This is done by creating an IAM role with AmazonS3ReadOnlyAccess and attaching it to your Redshift cluster. This step is crucial for Redshift to be able to read data from S3.

Before loading data, you need to create a table in Redshift to match the structure of your data. Use the SQL editor in the Redshift console to define the schema (columns and data types) based on the CSV or JSON format of your Metabase export.

With your data in S3 and a corresponding table in Redshift, use the COPY command to load the data into Redshift. Connect to your Redshift cluster using a SQL client or the Redshift Query Editor and execute the COPY command, specifying the S3 file location and IAM role for authorization. Ensure to include options to handle the file format (CSV or JSON) and delimiters correctly.

After loading the data, verify that the data in Redshift matches the original data in Metabase. Run queries to check for data completeness and correctness, ensuring that no records are missing or misaligned. This verification step is critical to ensure data quality and accuracy after the transfer.