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MongoDB drivers & connectors
for data integration

Connect to live MongoDB databases from BI, analytics, and reporting tools through bi-directional data drivers. Easily integrate MongoDB data with BI, reporting, analytics, ETL tools, and custom solutions.

Do more with MongoDB data


ETL/ELT
Integrate MongoDB data into any database or data warehouse
SQL Server
Integrate MongoDB with SQL Integration Services
Command-Line Access
Automate MongoDB tasks form the command-line with PowerShell
Reporting & Spreadsheets
Connect to live MongoDB data from your favorite Spreadsheet
BI & Analytics
Connect to live MongoDB data from your favorite BI tool
Semantic Layer
Access MongoDB through a unified logical data access layer
Cloud BI Tools
Integration with popular cloud-based tools like Looker, QuickSight, SAP Analytics Cloud, and more
Extend common applications and tools with drop-in connectivity
Live Cloud Connectivity
Access real-time Workday data from SaaS/Cloud apps
Python Connectivity
Connect MongoDB with Python and Data Science projects
AI Connectivity
Easily connect MongoDB to AI assistants, copilots, & agents.

Other Database Technologies



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MongoDB data integration

Access MongoDB data in all of the systems you use every day, including BI & analytics tools, databases, data warehouses, and custom apps. Customers commonly use CData's MongoDB connectivity to:

  • Provide a logical data layer of abstraction that shields users from the complexity of data access and integration.
  • Get blazing-fast access to data for BI, reporting, and data integration with highly optimized read/write performance.
  • Securely explore tables, columns, keys, data, and full meta-data based on user identity.

Try CData MongoDB Connectors
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Trusted by MongoDB Users Worldwide


Office Depot Leverages CData to 'Lift and Shift' Critical Data and Enable Analytics Integration

“CData allows us to take that Snowflake data and put it in a cube with that sub-two second response time our end-users are looking for.”

— Daniel Ligas
Office Depot IT Architect


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Belden Supports Growing Marketing Requests by Centralizing Data Access in the Cloud

“CData connects our Tableau to Google Analytics, Google Ads, and Salesforce. Now we’ve also got connectors set up for Pardot, LinkedIn, Instagram, Facebook, and Twitter. And I have all these things all in one place with no upkeep on my end.”

— Paul Summitt
Belden D&A IT Supervisor


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Logi Analytics Brings Real-Time Data to Analytics Dashboards for SaaS

“As we expand into and serve new industries and markets, having broad-spectrum data connectivity within our products will improve our ability to support additional customers and data reporting scenarios”

— Jaimi Panini
VP of Product & Development for Logi Analytics


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The CData difference

Our standards-based approach to connectivity streamlines data access and insulates usrs from the complexities of integrating MongoDB data.

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Unparalleled MongoDB Connectivity

Get full access to your MongoDB data wherever you need it. CData is the undisputed leader in MongoDB connectivity providing the most comprehensive access to live MongoDB data anywhere. Thousands of customers and hundreds of leading data ISVs rely on our connectivity to make the most of their data.

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Fastest time to value

Reduce reducing development cycles and accelerating the overall time to market. Our pre-built, optimized connectors eliminate the need for complex custom development, allowing for fast, secure access to Workday data.

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Unbeatable price-performance

By standardizing and streamlining how systems interact with MongoDB our products reduce development costs and timelines, slash architectural complexity.

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Blazing data access

Our MongoDB connectivity is fast — really fast. In fact, over twice as fast as other solutions. Our engineers have optimized our drivers for maximum performance all the way down to the socket level, delivering truly exceptional data access.

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Future-proof integration

We continuously test against changes in the MongoDB APIs & protocols used to connect, preventing downtime in your data and analytics processes.

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Enterprise-class technical support

CData is dedicated to helping you find success with MongoDB. We work as an extension of your team to help solve your toughest data challenges. Thousands of customers and hundreds of ISVs rely on our services to make the most of their data.

MongoDB data for AI agents and assistants


MongoDB MCP server connectivity for AI

Enable AI agents, assistants, and workflows to access MongoDB data to improve output, tailoring responses to your actual business data and reducing hallucinations.

  • One MCP connection from MongoDB to every AI agent, assistant, copilot, or LLM that could use it.
  • Maintain security and user permissions with pass-through user-based access and read/write controls
  • Platform solution to control and monitor user access via AI across your organization.

Learn more: Connect AI: the world's first managed Model Context Protocol (MCP) platform.

CData Connect AI
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MongoDB connectivity for BI & analytics


BI & Analytics Integration

Live MongoDB access for analytics

Access MongoDB data in all of the systems you use every day, including BI & analytics tools, databases, data warehouses, and custom apps.

  • Connect MongoDB (and any other data source) to your favorite analytics, automation, or data management app without moving data
  • Bi-directional MongoDB connectivity through common data endpoints
  • Enable MongoDB governability and data privacy with user-level permissioning at the source level.

MongoDB ETL, replication, & data warehousing


Automate MongoDB data replication

CData Sync automatically replicates data from hundreds of on-premises and cloud data sources — like MongoDB — to any modern database, data lake, or data warehouse.

  • Create automated MongoDB data flows in minutes with point-and-click data replication
  • Facilitate reporting, business intelligence, and analytics for decision support
  • Archive data for disaster recovery
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Data Replication & ETL

Consolidate MongoDB data management


Data Management

Data management integration enables organizations to better manage their human resources data, optimize decision-making, and ensure compliance with data governance policies. Technologies like ODBC, JDBC, and ADO easily connect with all kinds of popular data management applications.

Connect MongoDB to data management systems to:

  • Provide a single, accurate source of truth for employee and resource data.
  • Ensure consistency, data quality, and integration across systems.
  • Improve data discoverability, governance, and compliance, allowing for easy tracking, auditing, and efficient data use across the organization.

Connect to MongoDB with no-code

MongoDB is often at the center of a wide range of repetitive tasks. With low-code/no-code tools, users can automate these tasks reducing manual effort and errors.

  • Customize MongoDB and integrate it with other systems (like CRM, HR, or accounting software) without writing complex code.
  • Create custom dashboards, reports, or data visualizations by integrating MongoDB data with other systems.
No-Code Data Integration

Build fully-integrated custom applications


Custom Application Integration

From custom AI and analytics to performance managemement and learning platforms, developers are leveraging our drivers to power all kinds of real-time integrations with MongoDB.

A MongoDB driver is a software library that enables applications to interact with MongoDB as though it were a traditional database. These drivers simplify communication by abstracting API complexities, presenting Salesforce data in a structured, database-like format.

A MongoDB connector is a tailored integration designed to allow proprietary applications or unique systems to seamlessly interact with MongoDB. Built on the same robust engine as our MongoDB drivers, these connectors provide effortless real-time access to MongoDB data for extended application functionality.

Drivers streamline integration by abstracting MongoDB APIs, allowing you to access its data through standard interfaces like SQL, making them perfect for data-focused applications.



Embedding CData Connectivity

Virtualize access to MongoDB data

Data virtualization tools helps organizations achieve better data access, more agile decision-making, and greater efficiency in managing data across diverse systems.

Integrating MongoDB with data virtualization tools allows organizations to combine this data with other sources like ERP systems, CRM platforms, or financial databases without physically moving or duplicating data. This unified access enables faster, more efficient decision-making.

Data Management

Connect to live MongoDB data in spreadsheets


Spreadsheet Integration

Work with live MongoDB data seamlessly in Excel and Google Sheets.

  • Always work with live MongoDB data — no more downloading, copying, and pasting
  • Filter and get just the attributes and data you actually need
  • Refresh data with a click or set a schedule
  • Update MongoDB records right from your spreadsheet
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Frequently asked MongoDB integration questions

Common questions about MongoDB drivers & connectors for data and analytics 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, write, and update 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 AI. With Connect AI 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.

The MongoDB drivers and connectors offer comprehensive access to MongoDB data. Our MongoDB driver exposes static and dynamic data and metadata, providing universal access to MongoDB data for any enterprise analytics or data mangement use. To explore the MongoDB driver data model, please review the edition-specific MongoDB driver documentation.

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 AI, 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 AI Excel Add-In. The MongoDB Excel Add-In provides easy MongoDB integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Our integration offers live bi-directional access to MongoDB data directly from Excel. 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.

Ready to get started? Try CData for free today