MongoDB Supported Languages

MongoDB is one of the most popular NoSQL databases and widely adopted for storing and managing unstructured data. Using MongoDB with the right programming language can help data administrators, analysts, and programmers to optimize and manage data in the most efficient manner and create highly performant and scalable applications.

MongoDB provides a powerful data aggregation and query framework. The NoSQL database also supports the best programming languages through full-fledged libraries and drivers for advanced data analytics, visualization, and management. In this article, we will explore these programming languages in more detail.

All of MongoDB’s Compatible Programming Languages

MongoDB officially provides driver support for some of the best database languages like Python, R, Java, Scala, C, C++, C#, Node.js, and many more. These MongoDB libraries and drivers support all of MongoDB’s features, giving high performance and scalability in all applications.

The languages compatible with MongoDB database are:

  1. C
  2. C++
  3. C#
  4. Go
  5. Java
  6. Node.js
  7. PHP
  8. Python
  9. Ruby
  10. Rust
  11. Scala
  12. Swift

In the following sections, we cover the most prominent features of the above languages and share how they can integrate with a NoSQL like MongoDB using the native driver.


Even with many other high-level programming languages, C remains a good choice for legacy and modern applications because of its performance and support for new features.

  1. Most major operating systems like Windows, Mac, and Linux are powered by C.
  2. C is also used for embedded systems, gaming animations, and many more real-world use cases.

Learn how you can connect MongoDB and C applications using the official driver, libmongoc.


C++ is an extension of C and is widely used for search engines, gaming, and GUI-based applications. MongoDB is written in C++.

  1. C++ is one of the fastest languages compared to other high-level languages like Python.
  2. MongoDB can store and retrieve C++ objects and arrange them in collections.

MongoDB provides an official driver to write C++ applications using the mongocxx driver.


C# is a particularly useful language to learn for developing apps based on the .NET framework. C# enables fast development of desktop-based applications, cloud-based applications, mobile devices, and browser plugins. C# has a huge community support and faster development time, making it highly suitable for game development and web application development. MongoDB C# (.NET) official driver provides asynchronous interaction with MongoDB.


Go is only second to C++ in terms of good performance and optimal memory consumption, and second to Java in efficient concurrency handling.

  1. Goroutines have quicker start-up time compared to threads and the code is much easier to build and understand.
  2. Go’s data-friendly syntax and lightweight nature and MongoDB’s flexible schema make them a powerful combination to build high-performance applications.

Start building your first Go and MongoDB application with the Golang and MongoDB tutorial.


Java is known as the ‘write once, run anywhere’ language because of its support for multiple platforms.

  1. Java is based on OOP (object-oriented programming) concepts and is widely used for developing rich client-server applications.
  2. Java is extensively used for high-scale scientific computations, big data applications, mobile applications, content management applications, and many others.

Integrating Java and MongoDB can provide highly scalable applications that allow faster CRUD operations and easy indexing. MongoDB provides Java driver (mongo-java-driver) which can be used by adding it as a dependency to any application build file.


Node.js renders JavaScript code on the server, which enables faster loading of web pages. Node.js is built on Google Chrome’s V8 JavaScript engine and uses event-driven, non-blocking I/O model.

  1. Node.js is fast, lightweight, efficient, and part of the MEAN stack and MERN stack for scalable end-to-end web applications.
  2. Node.js is used for gaming applications, data streaming apps, chatbots, microservices, and many more use cases.

Using Node.js with a document database like MongoDB provides flexibility in managing varied data types and yields production-ready applications in a significantly shorter amount of time. MongoDB Node.js driver consists of an asynchronous API to communicate between Node.js application and MongoDB using promises or callbacks.


PHP is a server-side scripting language embedded in HTML code. It can be used to build dynamic web pages and websites. Even with the presence of many other feature-rich languages, PHP holds a strong place, because PHP applications can be securely connected to different types of databases.

  1. You can integrate cloud technology into your website, build an entire CMS (content management system), or process and generate multiple images using PHP.
  2. Combining PHP with a general purpose document database like MongoDB provides benefits like scalability, robustness, and performance — much needed for any web application.

PHP-based applications can seamlessly connect to MongoDB using the MongoDB PHP driver. MongoDB provides exhaustive libraries and tools for the most popular PHP frameworks.


Python is one of the most popular languages for data-intensive tasks and data science because of its rich library support for statistics, machine learning, and AI-related tasks. Python is also very easy to learn for new developers and business analysts.

  1. Python is used for web development, as well as data analysis and visualization.
  2. Python stores data in a dictionary format, which is similar to the JSON-like format in which MongoDB stores data.
  3. Python can parse JSON data using built-in methods in a single step. This makes data retrieval and storage faster and efficient.

Python applications connect to MongoDB using the official driver pymongo for basic and advanced CRUD (create, read, update, delete) operations.


Ruby is very popular for web development using the Ruby on Rails framework, but is also used for web scraping, building web servers, automation, static site generation, and data processing.

  1. Ruby has easy to learn, simple syntax. Ruby is highly flexible and developers can change its core features as they want.
  2. Ruby is purely object-oriented. MongoDB allows for one-to-one mapping between the database entities and object-oriented software objects, making a powerful combination for scalable web applications.

MongoDB Ruby driver provides efficient libraries to map Ruby objects to MongoDB entities using ODM (Object Document Mapper). You can learn Ruby with MongoDB by building a simple application.


Rust provides memory safety and supports concurrent programming. Rust is a low-level programming language with high performance and can be used to write operating systems, game engines, and embedded applications.

  1. Rust is strictly typed, whereas MongoDB has a flexible schema, however, the integration is effortless using the Serde framework.
  2. Combining MongoDB and Rust gives the advantage of scalable applications that give high performance.

Rust MongoDB driver provides libraries to manage all types of basic and advanced operations on data.


Scala is used for data processing, web development, and distributed computing. It is used by data engineers and software developers alike. To process huge datasets, data engineers and data scientists use Scala along with Apache Spark.

  1. Scala can be used for real-time information processing, data pipelines, video transcoding systems, and many other big data projects.
  2. By using Scala with a NoSQL or document database like MongoDB, you can build scalable data-intensive applications with ease because of powerful features of MongoDB like aggregation pipeline, real-time analytics, and many more.

MongoDB Scala driver provides official support for Scala applications. Using Scala and MongoDB for Spark-based projects, developers can build faster applications and perform advanced real-time analytics and machine learning.


Swift is a powerful programming language for Apple mobile devices. Swift is known for high performance and type-safe, strict code syntax.

  1. Swift driver for MongoDB allows access to mobile apps with MongoDB.
  2. Swift driver is developed by wrapping the C driver, so you get the benefits of both C and Swift.

Learn more about the Swift driver and how the Swift MongoDB driver helps you build safe, modern applications.


Below is the summary of the best languages that work with NoSQL databases like MongoDB using a native driver:

LanguageUse CaseNative Driver
C Gaming, OS development, embedded systems libmongoc
C++ IoT devices, machine learning tools, game development mongocxx
C# Web application development, gaming apps MongoDB C#/.NET driver
Go Cloud native applications, distributed web apps MongoDB Go driver
Java Enterprise web development, AI and deep learning Java driver

Java Reactive Streams
Node.js Big data analytics, real-time data apps, chatbots MongoDB Node Driver
PHP Web development, image processing, CMS system MongoDB PHP driver
Python Web Scraping, IoT, Artificial Intelligence PyMongo
Ruby Ecommerce applications, social networks MongoDB Ruby Driver
Rust Operating systems, distributed online services MongoDB Rust Driver
Scala Data pipelines, data processing, real-time information processing MongoDB Scala Driver
Swift Offline capabilities, mobile applications MongoDB Swift Driver


What languages does MongoDB use?

MongoDB supports many languages that are widely used for various data-intensive applications, like Java, C, and C++ for web applications and gaming; Python and Scala for big data applications; Node.js, PHP, and C# for server-side scripting; and many others.

Is MongoDB a programming language?

MongoDB is not a programming language. MongoDB is a general purpose document database (sometimes referred to as a NoSQL database) that uses the MongoDB Query Language (MQL) to store and retrieve data from various applications and perform various aggregations, analytics, and visualizations to make business sense of data.

Is MongoDB better than SQL?

MongoDB is a NoSQL database, i.e., Not Only SQL. Whether MongoDB is better or SQL is better all depends on the business purpose. MongoDB supports many programming languages and is very suitable for storing and managing today’s growing amount of big data. MongoDB’s database as a service, MongoDB Atlas, provides support for multiple cloud providers like AWS and Azure and comes with many benefits. RDBMS systems like SQL are still widely adopted and mostly used for structured data. Most BI and big data tools rely on SQL.

Is MongoDB easy to learn?

MongoDB is easy to learn. Whether or not you have prior experience with any database, you can easily understand the concept behind MongoDB and, most importantly, its query language. MongoDB University provides various courses for different levels of programmers to become familiar with the database.