How to load data from Braze to MySQL Destination

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

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Building in-house pipelines

Bespoke pipelines are:
  • Inconsistent and inaccurate data
  • Laborious and expensive
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Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

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All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Braze 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 Braze 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 Braze 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.

Take a virtual tour

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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Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

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What our users say

Raman Singh

Tech Lead at Symend

Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

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Chase Zieman

Chief Data Officer

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Operational Intelligence Manager

"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."

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How to Sync to Manually

Step 1: Export Data from Braze

Begin by exporting the desired data from Braze. Braze allows data export via their REST APIs. Utilize the Braze Data Export API to select and export the specific data sets you need. Ensure you have appropriate permissions and API keys configured to access the data.

Step 2: Access Braze API Endpoints

Use Braze's API endpoints to pull the data. You can do this by writing a script in a programming language such as Python or JavaScript. Use the `GET` method to retrieve the data from Braze's API, specifying the necessary parameters to filter and request the data you need.

Step 3: Parse the Retrieved Data

Once the data is retrieved from Braze, it will typically be in JSON format. Parse the JSON data in your script to prepare it for transformation and loading into MySQL. Ensure that the data fields align with the schema of your MySQL database.

Step 4: Transform Data to Match MySQL Schema

Transform the data to match the MySQL database schema. This may involve data cleaning, normalization, and restructuring. Use your script to iterate through the JSON objects and format them into SQL-compatible data types and structures.

Step 5: Establish a Connection to MySQL

Establish a secure connection to your MySQL database. This can be done using the `mysql-connector` library in Python or a similar library in another programming language. Make sure you have the necessary credentials and permissions to access the MySQL database.

Step 6: Insert Data into MySQL

Once a connection is established, construct SQL `INSERT` statements within your script to load the data into the MySQL tables. Execute these statements to insert the transformed data into the appropriate tables in your MySQL database.

Step 7: Verify Data Integrity

After the insertion process, verify the integrity of the data in your MySQL database. Run queries to check that all data from Braze has been accurately and completely transferred and that there are no discrepancies or data loss. Adjust your script as needed for any future data migrations.

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