Databricks. Data, analytics and AI on one platform
Deliver real-time analytics, scaled out data warehouse, and AI/ML enhanced applications using MongoDB and Databricks.
Connect your Lakehouse to MongoDB Using a Databricks Notebook
Databricks now features MongoDB as a data source. Create a unified, real-time processing layer by integrating Databricks Lakehouse with MongoDB Atlas.
Import/Export Data via Object Store
With the MongoDB aggregation pipeline and $out, you can pre-process and transform data before exporting it in an analytics-optimized columnar format to object stores (such as Amazon S3) for seamless ingest into Databricks. This allows you to process bi-directionally targeted (and large) datasets.
How to Integrate Databricks and MongoDB
Linking your MongoDB Atlas database to data stored in the Databricks Lakehouse has never been easier. Learn more about the Databricks MongoDB Notebook.