How to load data from Pendo to MySQL Destination

Learn how to use Airbyte to synchronize your Pendo data into MySQL Destination within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Pendo connector in Airbyte

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

Set up MySQL Destination for your extracted Pendo 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 Pendo to MySQL Destination 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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Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.

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How to Sync to Manually

Step 1: Access Pendo API

First, log in to your Pendo account and navigate to the API section. Obtain your API key, which is necessary for authenticating requests to the Pendo API. Make sure to have the appropriate permissions to access the data you intend to export.

Determine the specific data sets you need to export from Pendo. This could include user data, usage statistics, or other analytics. Review the Pendo API documentation to understand the endpoints and data structures available for your required data.

Create a script using a programming language like Python, Node.js, or Ruby to make HTTP requests to the Pendo API. Use the API key obtained in Step 1 to authenticate your requests. For instance, with Python, you might use the `requests` library to send GET requests to the relevant Pendo API endpoints.

Once the data is retrieved from Pendo, parse the JSON response to extract the required data fields. You may need to perform data transformations to match the schema of your MySQL database. This can include reformatting dates, converting data types, and filtering unnecessary fields.

Ensure that your MySQL database is set up with the appropriate tables and schema to receive the data. If necessary, create new tables that match the structure of the data you are importing. Use SQL commands to define the tables and data types.

Extend your script to connect to your MySQL database. Use a library like `mysql-connector-python` for Python or `mysql` for Node.js to establish a connection. Construct SQL `INSERT` or `UPDATE` statements to insert the parsed and transformed data into the appropriate tables in your MySQL database.

To keep your MySQL database updated with the latest data from Pendo, schedule your script to run at regular intervals. Use a task scheduler like `cron` on Unix/Linux systems or Task Scheduler on Windows to automate the execution of your script. Ensure error logging and exception handling are incorporated to handle any issues during data transfer.

By following these steps, you can effectively move data from Pendo to a MySQL destination without relying on third-party connectors or integrations.