Top 10 MongoDB Tools for 2025

MongoDB is one of the most popular databases in the world, as it is used by many big organizations. It provides a convenient way to store data. But to use MongoDB to its full power, database admins and developers could use various MongoDB tools available out there. These tools bring extra assistance and features to make working with MongoDB easier.

In this article, we will discuss what MongoDB is, what MongoDB tools are, and the top 10 tools for MongoDB that businesses could use in 2025.

What is MongoDB?

MongoDB is the most popular NoSQL database that can store data in a non-relational and flexible manner. Unlike relational databases like MySQL, where the data is stored in the form of tables, MongoDB uses JSON-like documents to store data.

An example of a document in MongoDB that stores the data of a user would be like this:

{
  "_id": "506f1f76bcf56cd799437032",
  "name": "Robert Doe",
  "age": 28,
  "likes": ["shopping", "racing"],
  "address": {
    "city": "Berlin",
    "country": "Germany"
  }
}

MongoDB is used by several big corporations, and it is available in multiple forms. If the users do not want to manage any hardware and installation themselves, they could use MongoDB Atlas, which is a DBaaS (database as a service).

But if they want more advanced features with high-end security and efficiency, they could use the Enterprise and Community versions of MongoDB.

What are MongoDB Tools?

MongoDB tools are a collection of different tools and utilities that help the user work with MongoDB more effectively. They save time and effort while working with different tasks associated with MongoDB.

There are Graphical User Interface (GUI) tools, Command Line (CLI) tools, and Object Data Modeling (ODM) tools that are available for MongoDB. Some are made by MongoDB, and others are offered by third-party organizations, in both free and paid versions.

Top 10 MongoDB Tools for 2025

A plethora of tools are available that reduce overall management time while providing amazing features. Below are some of the best MongoDB tools that could be used in 2025:

1. MongoDB Compass

MongoDB offers a free and open-source GUI tool called MongoDB Compass that provides a visual environment for querying, aggregating, and analyzing the data. This tool is available on Windows, Linux, and Mac.

Key Features:

• Visualization of schema: MongoDB Compass provides a visual representation of the structure of data, including the types, ranges, and field distribution. Moreover, it offers deep insights into the documents present in the collection, which helps in identifying errors and irregularities in the data.
• Data query: There is a query bar present on MongoDB Compass that queries the data based on the user’s instructions. It has a user-friendly interface, which is quite helpful for any user. They could simply write a query and click on “find” to view the results. Additionally, users could filter documents and sort their data however they like.
• Creation of aggregation pipelines: Aggregation pipelines in MongoDB help process several documents and return updated results. MongoDB Compass contains the Aggregation Pipeline Builder, which provides multiple modes, such as focus mode and text view mode, to create an aggregation pipeline.

Where to Use: Ideal for users who need a visual tool for querying, aggregating, and analyzing MongoDB data. It’s especially useful for beginners needing schema insights and query capabilities in an easy-to-navigate GUI.

Additional Insights: Great for data exploration with schema visualization, but it lacks advanced features for large datasets and complex query management.

2. Mongoose

One of the most popular tools among developers, with more than 26,000 stars on GitHub, Mongoose is an Object Data Modeling (ODM) library that is designed for MongoDB to be used in Node.js. With Mongoose, the developers could manage relationships between data and add schema validation. Overall, Mongoose makes the task of working with MongoDB easier.

Here is how developers could create a schema and a model to interact with any collection available in MongoDB.

const user = new Schema({
   name: String,
   email: String,
   age: Number,
   student: Boolean
});

const User = mongoose.model('User', user);

In the above code:

• There is a ‘Schema’ object assigned to a ‘user’ variable that defines the structure of user data.
• Then there is a Model object assigned to ‘User’, which is used to interact with the MongoDB collection with the help of data queries for fetching, updating, and deleting data. All of these data query operations could be performed by Mongoose itself.

Where to Use: Best for Node.js developers who want to structure and manage MongoDB data with an ODM (Object Data Modeling) layer. Ideal for applications requiring schema validation and relationship management.

Additional Insights: Simplifies database interactions, though it has a learning curve and can add overhead for complex applications.

3. NoSQLBooster

A cross-platform GUI tool, NoSQLBooster has built-in support for MongoDB script debugger, server monitoring tools, query code generator, task scheduling, and remarkable IntelliSense experience.

Key Features:

• IntelliSense support: The built-in language service of NoSQLBooster offers code suggestions as users type MongoDB queries. The suggestions include methods, properties, variables, keywords, MongoDB collection names, and field names. This automatic suggestion reduces development time and syntax errors.
• Script debugger for MongoDB: With this GUI tool, developers could set breakpoints throughout the code to perform effective debugging. When the debugger reaches the breakpoint, the call stack can be explored by watching and editing variables.
• Task scheduler: Along with providing different tasks such as imports, exports, data backup, restore, and migration, NoSQLBooster provides a task scheduler. It could run tasks on a one-time basis or on a schedule. It could run MongoDB script files, import from JSON and BSON files, and export collections to JSON, CSV, etc.

Where to Use: Suited for users who need cross-platform support and advanced IntelliSense for faster query writing, script debugging, and task scheduling.

Additional Insights: Powerful but may be overwhelming for simple tasks due to its feature set. Better suited for experienced users.

4. Studio 3T

Studio 3T is a MongoDB GUI tool used by more than 1,00,000 developers and database admins. Studio 3T could be utilized in three ways:

• As a MongoDB GUI: The user interface with menus, icons, and other elements.
• As a MongoDB client: The application that could connect to a server.
• As a MongoDB IDE: The capabilities of an application and database development into a single environment.

Key Features:

• AI support: Studio 3T provides an AI Helper that enables users to write complex queries and aggregations with AI. This saves a lot of time and effort, as the user could simply type a prompt and the query could be generated. All of this is presented in a user interface.
• Simple migration: Users could easily import data between SQL and MongoDB as importing data from MySQL, Oracle, or PostgreSQL to MongoDB is supported, the vice versa is also true. Users could import and export data in JSON or CSV formats and get a preview of the output.
• Team sharing: Users could organize their scripts and connections and share MongoDB queries with their teams. With a simple drag and drop in a team’s folder, resources could be shared. This encourages teamwork while also ensuring that the data stays protected.

Where to Use: Great for advanced users or teams needing a robust MongoDB GUI, IDE features, and support for AI-generated queries and SQL-MongoDB data migration.

Additional Insights: Highly functional with AI assistance, though costly. The wide range of features can be excessive for small-scale projects.

5. MongoDB Shell

MongoDB Shell is a CLI tool or an interactive JavaScript interface to MongoDB. It is a way to connect to MongoDB and offers a host of features such as autocomplete, syntax highlighting, error messages, and help. It could connect with the MongoDB Atlas too.

Key Features:

• CRUD operations and aggregation: MongoDB Shell supports simple CRUD operations like inserting, reading, updating, and deleting documents. Apart from this, developers could run aggregation pipelines using the db.collection.aggregate() command.
• Automation with scripts: Developers could run scripts that perform CRUD operations, and they could create helper functions and store them in a config file. In addition, commonly used scripts could be saved as snippets for reuse at any point in time.
• Manage databases: MongoDB Shell makes it easy to view information about databases and perform operations like creating a collection and deleting a database. This CLI tool could manage sharding as well.

Where to Use: Ideal for command-line enthusiasts who prefer a JavaScript interface for MongoDB management, including CRUD operations and sharding.

Additional Insights: Lightweight and powerful for hands-on management, though lacks GUI conveniences. Best for users familiar with CLI operations.

6. Atlas CLI

Atlas CLI is a command-line interface for MongoDB Atlas, the DBaaS of MongoDB. Management of Atlas Search and Vector Search is included. Developers could interact with the Atlas database with short commands through a terminal, which is a fast process.

Key Features:

• Atlas search and vector search: Developers could create indexes for Atlas Search for developing full-text search use cases and indexes for Atlas Vector Search for generative AI use cases.
• Improved development experience: Atlas CLI could be used from the local environment to the cloud. Scripts could be used to automate tasks like creating clusters and managing network access and logs.

Where to Use: Perfect for developers working on MongoDB Atlas who need a CLI to manage cloud-based resources efficiently, like search indexing and task automation.

Additional Insights: Fast and efficient but limited to Atlas; requires knowledge of MongoDB Atlas environment.

7. NoSQL Manager

NoSQL Manager is a user-friendly desktop GUI client for MongoDB database management. It provides full support for MongoDB and MongoDB Enterprise versions. It also offers a MongoDB Shell that supports code auto-completion and syntax highlights.

Key Features:

• Monitoring tools: Developers and administrators could use the monitoring tools of NoSQL Manager for performance tuning. The Performance Monitor collects data for memory usage, read/write operations, the number of client connections, and many more. It also displays the collected data in the form of graphs.
• Shell: The commands of MongoDB Shell could be used in NoSQL Manager without any problems, and developers could use the command autocompletion to reduce their querying time.

Where to Use: Suitable for those who want a desktop client with MongoDB shell integration and performance monitoring for database administration.

Additional Insights: Good monitoring tools but limited to desktop use; lacks some of the collaborative features available in cloud-based tools.

8. Robo 3T (formerly Robomongo)

Robo 3T is a popular lightweight, free, open-source MongoDB management tool. It integrates the MongoDB Shell and offers a minimalistic, clean interface that allows direct access to your MongoDB servers, whether they are local or in the cloud.

Key Features:

• Embedded Shell: Robo 3T incorporates the full power of the MongoDB shell within the GUI. This makes it easier for users to switch between a traditional command line and a graphical interface.
• Intuitive User Interface: Provides a straightforward layout that simplifies the execution of MongoDB commands, management of databases, collections, and documents.
• Connection Management: Easily manage multiple database connections, edit and store connections, and browse databases and collections effortlessly.

Where to Use: Best for lightweight, free MongoDB management with a minimalistic interface and embedded shell. Ideal for smaller projects or those new to MongoDB.

Additional Insights: Simple and effective for small-scale tasks but lacks advanced functionality like task automation or data visualization.

9. MongoDB Compass Community

MongoDB Compass Community is the free version of MongoDB Compass, designed to provide core functionality to users who do not require advanced features. It serves as a graphical client, allowing users to analyze and understand the contents of their MongoDB databases without extensive knowledge of MongoDB query syntax.

Key Features:

• Schema Visualization: Automatically analyze documents and display rich structures within your collections through an intuitive GUI.
• CRUD Operations: Perform create, read, update, and delete operations through a simple visual interface without needing to write queries.
• Performance Insights: Basic performance monitoring tools to analyze query performance and optimize the efficiency of your database.

Where to Use: Suitable for users who only need core MongoDB functionality without advanced features, perfect for quick data checks and CRUD operations in a GUI.

Additional Insights: Good for basic database exploration; lacks advanced monitoring, aggregation, and collaboration features.

10. Mongoku

Mongoku is a web-based MongoDB client, designed to handle millions of records. It is entirely built on modern technologies such as Angular and Node.js, offering a performant and easy-to-use solution for managing MongoDB databases from any web browser.

Key Features:

• Web-Based Interface: Access your MongoDB databases from anywhere through a browser, with no local installation required on client machines.
• Real-Time Database Monitoring: Visualize and manage your MongoDB databases in real time with the ability to browse collections, edit documents, and run queries on the fly.
• Support for Large Datasets: Designed to efficiently handle large databases and collections with millions of documents without significant performance degradation.

Where to Use: Ideal for users needing a web-based interface to manage MongoDB databases remotely, especially those with large datasets.

Additional Insights: Great for remote access and handling big data but may not be as feature-rich for detailed data analytics or complex data management.

Must Read:

• How to Secure the MongoDB Database
• Transaction in MongoDB
• View Existing Validation Rules in MongoDB

Conclusion

There are plenty of MongoDB tools available, but some are more popular or packed with more advanced features than others. In this article, we discussed what MongoDB is, what MongoDB tools are, and the 10 best MongoDB tools that developers and database administrators could use in 2025. Ultimately, it is important to properly analyze the tools and pick the most optimal tool as per the project requirements.