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.
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:
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.
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++.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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:
|Language||Use Case||Native 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 driverJava 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|
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.