MongoDB Drivers & Connectors
for Data Integration

MongoDB is an open-source NoSQL database system designed to store unstructured or semi-structured data in a flexible and scalable manner. It employs document-oriented storage, which enables the storage of data in JSON-like documents. It is well-known for its scalability, querying capabilities, and high availability. It is utilized extensively in applications requiring flexible data storage, such as big data, IoT, and real-time analytics. MongoDB is frequently selected for use cases involving big data, content management, real-time analytics, Internet of Things (IoT) applications, and other scenarios where the data's structure and volume can vary.

The MongoDB driver acts like a bridge that facilitates communication between various applications and MongoDB, allowing the application to read data as if it were a relational database. The MongoDB driver abstracts the complexities of MongoDB APIs, authentication methods, and data types, making it simple for any application to connect to MongoDB data in real-time via standard SQL queries.

Working with a MongoDB Driver is different than connecting with MongoDB through other means. MongoDB API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain MongoDB integration code moving forward.

By comparison, our MongoDB Drivers offer codeless access to live MongoDB data for both technical and non-technical users alike. Any user can install our drivers and begin working with live MongoDB data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to MongoDB data. We manage all of the complexities of MongoDB integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

If you need truly zero-maintenance integration, check out connectivity to MongoDB via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to MongoDB from any of the available Cloud Drivers and Client Applications. Connectivity to MongoDB is managed in the cloud, and you never have to worry about installing new drivers when MongoDB is updated.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with MongoDB, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData MongoDB driver offers full-featured MongoDB data connectivity. The CData MongoDB drivers support extensive MongoDB integration, providing access to all of the MongoDB data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all MongoDB data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData MongoDB driver contains a full SQL-92 compliant engine that translates standard SQL queries into MongoDB API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to MongoDB as possible. Any logic that can not be pushed to MongoDB is handled transparently client-side by the driver/connector engine. Ultimately, this means that MongoDB looks and acts exactly like a database to any client application or tool. Users can integrate live MongoDB connectivity with ANY software solution that can talk to a standard database.

Using the CData MongoDB drivers and connectors, MongoDB can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live MongoDB data connectivity. Explore some of the more popular MongoDB data integrations online.

Additionally, since MongoDB supported by CData Connect Cloud, we enable all kinds of new MongoDB cloud integrations.

MongoDB Analytics and MongoDB Cloud BI integration is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify MongoDB data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

MongoDB data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate MongoDB data any database or data warehouse, and maintain parity between systems with automated incremental MongoDB replication. In addition, our MongoDB drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate MongoDB with Excel is by using the CData Connect Cloud Excel Add-In. The MongoDB Excel Add-In provides easy MongoDB integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to MongoDB from the easy-to-use cloud interface, and access MongoDB just like you would another native Excel data source.