How to load data from Metabase to Convex

Learn how to use Airbyte to synchronize your Metabase data into Convex 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 Convex 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 Convex 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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How to Sync to Manually

Step 1: Export Data from Metabase

Begin by exporting the necessary data from Metabase. Access Metabase, navigate to the dashboard or question containing the data you need, and use the export functionality to download the data in a CSV or JSON format. This is typically done by selecting the "Download" or "Export" option found in Metabase's user interface.

Step 2: Prepare the Exported Data

Once you have the data file, open it using a spreadsheet application (for CSV) or a text editor (for JSON) to ensure the data structure is correct and contains all necessary fields. Clean and preprocess the data by removing any unnecessary columns or correcting any formatting issues to ensure it matches the schema expected by Convex.

Step 3: Set Up Convex Environment

Ensure that your Convex environment is set up and ready to import data. If you haven't already, create a new Convex project by installing the Convex CLI using Node.js. Run the command `npm install -g convex` and then set up a new project using `convex init` in your terminal, following the prompts to configure it.

Step 4: Create a Data Import Script

Develop a script to import the data into Convex. Choose a programming language you're comfortable with, such as JavaScript or Python, and write a script that reads the exported data file and formats it into HTTP requests suitable for Convex's API. Convex uses RESTful endpoints to manage data, so ensure your script correctly formats these requests.

Step 5: Authenticate with Convex

Within your script, include the authentication process needed to connect with your Convex account. Typically, this involves adding your Convex API key or credentials, which can be found in your Convex dashboard. Ensure your script securely handles these credentials to maintain security.

Step 6: Import Data to Convex

Execute the script to transfer data from the file to Convex. The script should iterate over each data entry, sending POST requests to Convex's API to create or update records in your Convex database. Monitor the script’s execution for any errors and ensure all data is correctly imported.

Step 7: Verify Data Integrity in Convex

After the import process completes, verify the data in Convex to ensure it matches the original data from Metabase. Use Convex's dashboard or API to query the database and cross-check with the exported file. Ensure all records are present and correctly formatted. Resolve any discrepancies by re-executing the script for the affected records.

By following these steps, you can manually move data from Metabase to Convex without the need for third-party connectors or integrations.