How to load data from Braze to MongoDB

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

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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 MongoDB 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 MongoDB 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 Braze

To begin, navigate to the Braze dashboard and utilize Braze's export functionality. This involves setting up a data export job, typically through Braze�s REST API. You�ll need to determine the data set you want to export (e.g., user profiles, events, etc.) and use the API to extract the data in a suitable format, like CSV or JSON.

Prepare your local or server environment to handle data processing. Ensure that you have Python or another scripting language installed, along with necessary libraries to handle HTTP requests and data manipulation (e.g., `requests`, `json`, `pandas` for Python).

Develop a script to fetch the exported data from Braze. This script will use an HTTP request to connect to the Braze API endpoint and download the data file. Ensure you handle authentication by including the necessary API keys or tokens in your requests.

Once the data is fetched, parse it into a structured format using your chosen scripting language. For JSON, you can directly load it into a data structure like a list of dictionaries. For CSV, you may need to use a library like `pandas` to load and clean the data, ensuring it's formatted correctly for MongoDB insertion (e.g., handling missing values, ensuring proper data types).

Ensure you have a MongoDB instance running. This can be a local MongoDB server or a cloud-based MongoDB Atlas instance. You�ll need the connection URI and access credentials to interact with your MongoDB database.

Use a library like `pymongo` for Python to connect to your MongoDB instance. Create a connection to the database and specify the collection where you want to insert the data. Iterate over your cleaned data and insert each record into MongoDB using `insert_one()` or `insert_many()` methods, depending on the volume and structure of your data.

After the insertion is complete, verify the data integrity by querying the MongoDB collection. Check that the number of records matches your expectations and that the data fields are correctly populated. You can use MongoDB queries to perform spot checks on the data consistency and accuracy.
By following these steps, you will be able to successfully transfer data from Braze to a MongoDB destination without relying on third-party connectors or integrations.