For this article, you will pass the connection string as a parameter to the create_engine function. Create a connection string using the required connection properties. ![]() When you issue complex SQL queries from MongoDB, the CData Connector pushes supported SQL operations, like filters and aggregations, directly to MongoDB and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).Ĭonnecting to MongoDB data looks just like connecting to any relational data source. With built-in optimized data processing, the CData Python Connector offers unmatched performance for interacting with live MongoDB data in Python. This article shows how to use SQLAlchemy to connect to MongoDB data to query, update, delete, and insert MongoDB data. With the CData Python Connector for MongoDB and the SQLAlchemy toolkit, you can build MongoDB-connected Python applications and scripts. The rich ecosystem of Python modules lets you get to work quickly and integrate your systems effectively.
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