How to load data from Microsoft Dataverse to MongoDB

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

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Microsoft Dataverse 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 Microsoft Dataverse 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 Microsoft Dataverse 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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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: Understand the Data Model in Dataverse

Begin by thoroughly understanding the data structure and relationships within Microsoft Dataverse. Identify the tables (entities) and fields (attributes) that you need to migrate. This foundational knowledge is crucial for mapping the data correctly to MongoDB.

To access the data in Dataverse, you'll need to use the Microsoft Power Platform's Web API. Make sure you have the necessary permissions and an environment URL. You may need to register an application in Azure Active Directory to obtain client credentials for authentication.

Use the OAuth 2.0 protocol to authenticate your application with Dataverse. Write a script or use a tool like Postman to send HTTP requests to the Dataverse API, fetching the desired data. Utilize the OData query options to filter and select specific datasets you want to export.

Once you have retrieved the data from Dataverse, transform it into JSON format. This is necessary because MongoDB uses JSON-like documents to store data. If your data is already in JSON format from the API response, ensure it is structured correctly for MongoDB's requirements.

Install and set up a MongoDB server if you haven't already. This can be done locally or on a cloud service like MongoDB Atlas. Ensure that you have the necessary permissions to create databases and collections where the Dataverse data will be stored.

Create a script using a programming language like Python, Node.js, or Java to insert the JSON data into MongoDB. Use a MongoDB client library appropriate for your chosen language to establish a connection to your MongoDB instance and perform insert operations into the target collection(s).

After data insertion, verify that the data in MongoDB is accurate and complete. Check for any discrepancies or missing data by comparing with the original data in Dataverse. Ensure data integrity by confirming that relationships and references are maintained appropriately.

By following these steps, you can move data from Microsoft Dataverse to MongoDB without relying on third-party connectors, ensuring a direct and controlled data migration process.