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Jun 24, 2020 NoSQLBooster. NoSQLBooster is a shell-centric GUI with a broad range of features that come with a paid license. The free tier is missing many of the features that make this GUI so great, like code completion and the visual query builder. NoSQLBooster 6.2.5. Add to watchlist send us an update. Buy now $119.00 Personal License (1 User/2 PCs) buy now $219.00 Commercial License (1 User/2 PCs) buy now $1100.00 6-User Team License (6.

MongoDB is a NoSQL database that more than a quarter of developers use in some capacity. What makes MongoDB and other NoSQL DBs attractive is flexibility; instead of being held to a rigid schema that scales vertically, you can evolve your schema as you grow and scale horizontally. MongoDB went public in 2017 and is worth more than $17 billion today.

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Document DBs work through nested key-value pairs instead of relational tables and columns. You’re going to need to parse data for your front-end eventually, and with document DBs, your data is already stored in the right format (give or take a .map or .reduce). Working with MongoDB through the command line isn’t exactly a cakewalk: This post will walk through the best MongoDB GUIs available for reading from and writing to your MongoDB clusters.

The Mongo Shell Versus a MongoDB GUI

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The most basic way to access MongoDB is through the mongo shell; you can use it to query, update data, and complete admin tasks.

It’s included in the MongoDB Server installation, so you’re all set as long as you’re comfortable with shell commands. Traversing objects and writing long queries in the command line can get annoying fast, so using the shell is usually best for quick peeks or admin tasks.

It’s definitely possible to query your Mongo data exclusively from the command line, but if you’re working with even medium-sized datasets, GUIs offer a helpful alternative.

MongoDB GUIs provide a user interface for your MongoDB database that gives you the ability to visualize data and edit queries without the use of shell commands (or with them — more on that later).

The best MongoDB GUIs share similar features:

  • A visual query editor: Click or drag-and-drop elements to create queries.
  • Query autocomplete: Auto-suggestions for collections, fields, methods, and operators.
  • An aggregation framework: Build queries out step-by-step, test along the way, then export into usable code.
  • Server and query analytics: Insights into query and server performance.
  • Relational database to MongoDB data transfer: Automate tedious and error-prone data transfers between database types.

Below is a list of the best MongoDB GUIs that 2021 has to offer. Each one has features that set it apart from the rest. The best one for you will depend on the scope of your project, the features you need, and your budget.

MongoDB Compass

(Image courtesy of MongoDB Compass GitHub Repository)


The creators of MongoDB (Mongo) have their own GUI called Compass. It’s platform-agnostic and provides a graphical view of your database without the need to use a query language. MongoDB recently announced that the fully featured Compass GUI is completely free for everyone to use. Plus, the repo is now open-source on GitHub.

Some notable MongoDB Compass features include:

  • Schema visualization: Compass visually displays your collections to help you better understand your datasets.
  • CRUD visual editor: Perform CRUD operations within the UI, no need to type queries.
  • Geospatial data: Create queries on map data using an intuitive UI with generated results in both graph and JSON document form.
  • Validation: Write JSON Schema validation rules using an editor that suggests BSON data types and validation keywords as you write

Winning feature: Compass Plugins

One of the best features of the MongoDB Compass GUI is that it has an API for adding plugins. The Compass community has built tons of cool plugins that can generate data for testing, inspect database users, and even check the shard status of the database. If there’s a feature you want but a plugin isn’t available yet, you can build your own using their plugin template.


(Image courtesy of TablePlus)


TablePlus is a modern, native GUI tool for relational databases like MySQL, PostgreSQL, SQLite, and NoSQL databases like MongoDB. The TablePlus team consists of founder Henry Pham and Windows developer Raccoon Thai. The team, as well as the community, is also fairly active on GitHub.

Some notable TablePlus features include:

  • Customizable UI: There’s no need to turn to Mojave. With TablePlus, you can customize your configurations and their appearance
  • In-line edits: Edit data rows and table structure with a single click

Winning feature: database security

TablePlus promises secure connections. The connection between you and your database is end-to-end encrypted –– no data is sent to a TablePlus server. Additionally, TablePlus ensures database credentials are stored securely in your device’s keychain and comes with built-in SSH. TablePlus also supports multi-step authentication and native libssh.

Robo 3T

(Photo courtesy of Robo 3T blog)


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Robo 3T is an open-source, platform-agnostic, lightweight GUI for MongoDB. Formerly known as Robomongo, the company was bought in 2017 by 3T Software Labs and rebranded (Robo 3T also made it open source).

The project continues to be developed and has 8K stars on Github. In that vein, one of the best parts of using this GUI is the large community of users. Loads of tutorials, guides, and forums are available if you get stuck – just search.

Some notable Robo 3T features include:

  • Code autocomplete: While Robo 3T doesn’t have the autocompleting prowess of IntelliShell (see Studio 3T below), it does have a useful runtime autocomplete feature that works through an internal virtual machine.
  • Fast UI: All operations are done asynchronously, which means the application will never block you from working by freezing up.

Winning feature: embedded Mongodb shell


Many of the MongoDB GUIs have emulatedmongo shells, but this GUI has an embeddedmongo shell. The embedded shell provides increased functionality over an emulated shell because emulators generally run on top of a provided API, whereas an embedded shell works directly with MongoDB.

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Studio 3T


(Photo courtesy of Studio 3T)


Studio 3T, formerly MongoChef, is the robust, professional version of Robo 3T owned by the same parent company, 3T Software Labs. Studio 3T is more than just a MongoDB GUI: it’s also an IDE and client. There is no free version of this software (unless you count Robo 3T), and the Core pricing level starts at $149/year per user. Even then, the Core level lacks features that pricier ones have, like SQL import/export, SQL queries, and the schema explorer.

Some notable Studio 3T features include:

  • IntelliShell: A smart, built-in mongo shell with autocomplete that supports Javascript standard library functions, collection and field names, operators, and methods.
  • Three ways to view data: Once you have retrieved your data from the database, you can view it in three different formats:
    • Table View formats the data into rows and columns.
    • Tree View formats the data into expandable hierarchies.
    • JSON View formats your data as JSON documents.
  • Code generation: Export queries into Node.js, Python, Java, C#, PHP, Ruby, or the mongo shell language.
  • Data import: Support for data imports from SQL databases, Oracle, and Sybase.

Winning feature: four ways to query MongoDB and view data

Out of all MongoDB GUIs, Studio 3T provides the most ways to query your database. You can query using:

  1. SQL queries: Query MongoDB using the SQL query language (super cool!)
  2. The mongo shell: Built-in IntelliShell technology that provides robust autocomplete features
  3. The Aggregation Editor: For building up complicated queries
  4. The Visual Query Builder: A drag-and-drop editor for building out queries (fun fact: can be used side-by-side with IntelliShell)

Given this volume of query methods (including less “technical” ones), Studio 3T is usable for anyone, no matter their familiarity with document-based databases, query languages, or command lines.


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NoSQLBooster is a shell-centric GUI with a broad range of features that come with a paid license. The free tier is missing many of the features that make this GUI so great, like code completion and the visual query builder. NoSQLBooster does not work through a subscription model, so once you pay for a license, it’s yours forever (or until you want to update your version).

Some notable NoSQLBooster features include:

  • IntelliSense: Similar to Studio 3T’s IntelliShell, this language service appears as a tooltip while you type to suggest completions, methods, properties, variables, keywords, collection names, field names, and operators.
  • Interactive samples: In-app tutorials with prewritten queries and descriptions for learning how to use MongoDB.

A notable part of IntelliSense is the built-in snippets that offer code completion for operations like SQL to MongoDB data conversions and date ranges. You can also create your own snippets to save time.

Winning feature: NPM packages in the MongoDB shell script

The best feature of NoSQLBooster is the unique ability to add any NPM package into the MongoDB shell script. In fact, this GUI already comes with a number of useful and popular utility modules — like lodash, moment, bluebird, ShellJS, and math.js — in the global scope, ready to use.

(Image courtesy of

Overview is a fully online MongoDB GUI. Since it’s online, allows users to collaborate pretty seamlessly. Instead of using it as just a GUI, you can set it up as a more fully-featured internal admin tool. You then don’t need to share database credentials but can instead invite people to collaborate with you from the app. You can even access your data on a mobile device.

Some notable features include:

  • Smart filters: Create filters that you can use to display your collections as chips, which enables quick access
  • Charts and dashboards: Easily create charts and dashboards to track the metrics that are important to you

Winning feature: widgets for customization

With widgets, you can customize how your data displays and use those widgets to pull data from specific reference collections as needed. There are viewer, form, and layout widgets. Viewer widgets let you represent data in more meaningful ways than default string values.

Form widgets are, according to’s documentation, “the building blocks of forms.” They’re also customizable, meaning you can match them to any data type in your database.

Layout widgets give you an alternative to the default table view, allowing you to display specialized data.

NoSQL Manager

(Image courtesy of NoSQL Manager)


NoSQL Manager is a shell-based MongoDB GUI tool. NoSQL Manager makes it easy to navigate, view, and edit documents, as well as set limits to maximize performance. You can manage, as the name implies, a lot of things, including collections and their indices as well as users, roles, and functions. It offers support for MongoDB Enterprise, MongoDB on Azure Cosmos DB, and Amazon DocumentDB.

Some notable features include:

  • Wide support: NoSQL Manager supports replica sets, sharded clusters connections, and standalone hosts
  • Document viewer: The NoSQL Manager document viewer and editor offer Tree, Table, and JSON view modes
  • SSH tunneling: NoSQL Manager offers SSH tunneling for MongoDB connections
  • Imports: Import tables from your MySQL and SQL Server databases

Winning feature: autocompletion

NoSQL Manager comes with a MongoDB UI Shell that offers code autocompletion, syntax highlighting, and hints. Autocompletion takes much of the guesswork out of MongoDB management, helping you by autocompleting things like the collection names and methods in MongoDB Shell commands. As you type into the Shell, NoSQL Manager uses context clues to provide collection or method completion.

Bonus: Retool


Retool is a low code app builder where you can build any GUI for MongoDB (see template). Retool makes it possible to drag-and-drop visual components to avoid boilerplate code and connect to anything with a REST or GraphQL API, meaning you can build a full-featured MongoDB GUI—and include any CRUD operations—in just a few hours.

Some notable Retool features include:

  • Speed: Connecting Retool to MongoDB takes just a few minutes
  • Schema inspection: Visually view your data.
  • Save and share queries: Keep your queries handy for multiple uses.
  • Turn your queries into useful tools: go from query to table, search, and button without writing frontend code.

Winning feature: Customizable front end for visualizing data

You can use Retool’s pre-built components—including tables, buttons, text inputs, and search bars—to not only view your data but do any CRUD operations you need to keep your business going. Once you connect your data sources, you design your frontend with their drag-and-drop component tool.

The Best MongoDB GUI for Your Project

As with any tool, the best MongoDB GUI for you depends on what you’re trying to accomplish.

If you want to completely avoid the command line, MongoDB’s Compass is probably the most fully featured and natively integrated GUI out there. If you want a simple application that has a well-supported community, Robo 3T is the best GUI. If you’re familiar with SQL and want to keep writing queries in everyone’s favorite query language™, NoSQLBooster is going to feel slick. If you’re looking to easily share queries or turn your queries into tools, check out Retool.

There are many MongoDB management tools available in the market. These tools can improve the productivity of your MongoDB development and admin tasks.

Here is the list of most popular MongoDB GUI tools for your business with it's top features, use, and download link.

MongoDB GUI Tools for Windows & Mac

NameSupported PlatformsLink
Studio 3TWindows, macOS and Linux
Robo 3TWindows, macOS and Linux
HumongouS.ioWeb Desktop, Web Mobile

1) Studio 3T

Studio 3T is an integrated development environment designed especially for teams working with MongoDB:

  • Autocomplete queries with IntelliShell
  • Drag and drop fields to visually build queries
  • Use SQL, with INNER and OUTER joins, to query MongoDB
  • Generate driver-code from SQL or mongo shell into PHP, Python, Javascript and others
  • Secure connections for single MongoDB instances and replica sets
  • Copy and paste documents across servers and databases
  • Effortlessly compare and synchronise data
  • Build aggregation queries stage by stage
  • Multiple ways to import & export, including SQL Migration
  • Automate and schedule repetitive MongoDB tasks like imports

2) Robo 3T

Robo 3T (formerly Robomongo) is the popular free GUI for MongoDB enthusiasts. This lightweight, open-source tool has cross-platform support and also embeds the mongo shell within its interface to provide both shell and GUI-based interaction. It is developed by 3T Software, the team behind Studio 3T, the IDE for MongoDB.

Key features

  • Embedded shell environment
  • Asynchronous, non-blocking UI
  • Supports MongoDB 4.0

3) is a powerful online MongoDB GUI with an intuitive UI even for non-technical users.


  • The widget system lets you define how you want your collections to be displayed (clickable urls, formatted numbers, image previews...)
  • Invite your colleagues directly from the app. No need to share database credentials anymore.
  • You can access your data from anywhere as it works on Web and Mobile.
  • The Smart Filters buttons can be configured to quickly filter your collections
  • The Smart Search feature lets you search your database with just keywords.
  • And it comes with an integrated Charts and Dashboards creation tool.

Supported platform: Web Desktop, Web Mobile

4) NoSQLBooster

NoSQLBooster is the smartest MongoDB GUI with SQL query, server monitoring, and true IntelliSense.


  • Offers a true IntelliSense experience. The build-in language service knows all possible completions, methods, properties, variables, keywords, even the MongoDB collection names, field names, and operators.
  • Run SQL SELECT Query against MongoDB.
  • Supports mongoose-like fluent query builder API.
  • Offers rich performance monitoring and analysis tools
  • You can use any Node.js build-in global objects and modules
  • Query code generator that allows users to translate MongoDB queries to various target languages: MongoDB Shell, JavaScript (Node.js), Java, C#, Python, PHP, Ruby, and Golang.

5) DbSchema


DbSchema is a MongoDb visual designer for MongoDB. It enables you to design the MongoDB validation rules, for defining a clear way how the data is organized. The validation rules model can be shared in a team and deployed on different databases. It allows documenting the validation schema and output HTML5 documentation, explore data visually, build native MongoDB queries, generate random data, build reports, etc.

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  • Allows you to design MongoDB validation schema and share the design in a team.
  • Offers visual database data explorer.
  • You can compare the validation schema between two databases.
  • Create HTML5 database documentation.
  • Enables you to create native queries using the mouse.
  • It can automate your schema management.
  • Generate random data.
  • Build database reports with tables and charts

6) MongoDB Monitoring Tool

SolarWinds MongoDB Monitoring Tool enables you to check the performance of the query using historical analysis. This application offers intuitive dashboards and visualizations.


  • It can identify inconsistencies with MongoDB queries.
  • DBAs and DevOps can easily track throughput, latency, errors, and more.
  • The tool helps you to quickly solve the performance issue.
  • You can monitor databases in the cloud, hybrid, or locally.
  • Offers a web-based user interface.

7) NoSQL Manager

This MongoDB GUI tool merges friendly UI and Shell power. It offers high performance with support for all the MongoDB and MongoDB Enterprise latest features. It also saves time for database developers and administrators.


  • Fully featured MongoDB GUI Shell with code autocompletion, and syntax highlighting
  • It offers support for replica sets, standalone hosts and sharded clusters connections
  • Editor comes with three views Tree, Table, and JSON view modes
  • Easy-to-use document viewer
  • File Manager Tool to work with GridFS
  • Simple view and management option for all types of MongoDB objects
  • Import tables from MySQL and SQL Server databases
  • Multiple Mongo host database connections
  • Export documents to CSV, XML, XLSX, and JSON file formats

8) MongoDB Compass:

MongoDB Compass is another effective tool. It is one of the best mongodb gui tools which provides users with a graphical view of their MongoDB schema without the need of query language. It also analyses documents and displays rich structures inside this intuitive GUI.


  • This mongodb ui tool allows to explore data visually
  • MongoDB Compass analyzes documents and displays rich structures within one collection using Run ad-hoc queries in seconds
  • This mongodb editor supports quick insight into server status and query performance
  • Allows to view query performance
  • A better approach to CRUD makes it easier to interact
  • It helps users to take decisions about indexing, document validation, and more
  • No need to write command line

Download link:

9) Nucleon Database Master

Nucleon Database Master is one of the most powerful and easy to use MongoDB database administration, and management tool. It is one of the best mongodb tools that simplifies managing, monitoring, querying, editing, visualizing relational NoSQL DBMS.


  • This mongodb client supports for JSON/LINQ/SQL Query Editor
  • It offers powerful and intuitive SQL, LINQ and JSON query editor
  • This mongodb ui tool provides notable features like code highlighting, code completion and text find and replace
  • The users can export data into file formats like XML, HTML, MS Office, CSV, OpenOffice, RTF, PDF, XPS, JSON, dBase, and PNG
  • It provides dynamic C# Scripting query editor which supports Linq to MongoDB and Linq to Dataset
  • This mongodb editor allows importing data from XML, CSV, and SQL Script files without any size limit.

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10) Mongo Management Studio:

Mongo Management Studio is another effective tool for MongoDB management. It is possible to execute all the regular MongoDB commands without using the MongoDB shell.


  • Mongo Management Studio is cross-platform, so it runs on all major systems
  • It is one of the best mongodb tools that offers support for MongoDB 3.0 / 3.2 / 3.4
  • The app allows connecting to remote MongoDB databases using an SSH tunnel
  • With Mongo Management Studio, it is possible to read and write to GridFS collections
  • This mongodb ide offers a complete documentation of all features by explaining MongoDB related topics
  • With its inline edit feature, it is possible to do data manipulation on the fly

Download link:

11) MongoJS Query Analyzer:

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MongoJS Query Analyzer is MongoDB JavaScript editor. This mongodb viewer allows users to execute JavaScript commands. It is one of the best mongodb gui tools that provides supports for auto completion and syntax highlighting.


  • The JavaScript statements and queries run within a MongoDB shell command line interface. It can also be typed and executed
  • The MongoJS Query Analyzer allows users to view the results in a tree hierarchy, grid and as a text result
  • The MongoJS Pretty Print JSON feature allows displaying the JSON result in an easy to read format
  • This mongodb ide displays query results in several ways; as text, text history, grid, and pivot grid.
  • The contents of the Query Analyzer can be saved in different ways and formats

Download link:

12) Cluster control:

ClusterControl offers fully automated security, maintaining the integrity of the database infrastructure. In this MongoDB tool, it is possible to deploy and manage various open source database technologies from a single console.


  • This mongodb client tool allows users to customize solutions for their own MongoDB deployments
  • Easily add and remove nodes, resize instances, and clone production clusters with the help of this tool
  • It provides single interface to automate mixed MongoDB and MySQL database environments
  • It provides management features that repair and recover broken nodes, and test and automate upgrades

Download link:


❓ What is MongoDB?

MongoDB is a document-oriented NoSQL database used for high volume data storage. Instead of using tables and rows as in the traditional relational databases, MongoDB makes use of collections and documents.

Learn MongoDB in simple and easy steps using this beginner's tutorial - Learn MongoDB in 7 Days.

🏅 Which factors to consider while choosing the best MongoDB GUI Tool?

You should consider the following factors before selecting the MongoDB GUI Tool

  • Easy to set up in your existing systems.
  • Ease of use.
  • Support the extraction of data from various sources.
  • End-to-end reliability.
  • Extensive reporting.
  • Flexibility.
  • Ability to integrate with various data cleansing tools.
  • License cost.
  • Quality of Customer support.
  • Support and Update the policy of the tool vendor.
  • Reviews of the company.