MongoDB is a NoSQL programming language 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 $30 billion today.
Document DBs work through nested key-value pairs instead of relational tables and columns, allowing for rich structures. 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 administration framework and management tools available for reading from and writing to your MongoDB clusters.
The Mongo shell versus a MongoDB GUI
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.
> use sample_analytics
switched to db sample_analytics
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 an opinionated list of the best MongoDB GUIs on offer in 2023. Each 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.
(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:
- A 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.
(Photo courtesy of Robo 3T blog)
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 8.9K 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 emulated
mongo shells, but this GUI has an embedded
mongo 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.
(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 $199/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
- 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
- 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:
- SQL queries: Query MongoDB using the SQL query language (super cool!)
mongoshell: Built-in IntelliShell technology that provides robust autocomplete features
- The Aggregation Editor: For building up complicated queries
- 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.
MongoDB Atlas is a cloud database service built by the creators of MongoDB. Although the core of the application is a data platform built for resilience, scale, and data privacy, what brings Atlas to this list is its great GUI for data visualization and manipulation.
- Aggregations: the GUI lets you browse the collections and visually build aggregation pipelines in addition to the standard CRUD operations
- Anti-patterns: Atlas can detect schema anti-patterns in your collections and make suggestions to improve performance
- Search: the GUI can assist you in creating search indexes so that you can implement features like autocomplete and custom scoring
- Cluster monitoring: you can see details and metrics about your cluster in the GUI like number of read-write requests, active connections and data size against a time series
- Realm: It lets you connect your data to mobile apps, websites, and services with fully managed services and APIs.
- Charts: It is a data visualization tool that lets you create, share and embed visualizations from real-time data.
Winning feature: integration
Atlas acts as a one-stop solution for managing your database. The free tier itself gives you access to the GUI for managing your database. The premium feature gives you a lot more features including advanced profiling, performance tuning, redundancy, and monitoring - all using a GUI.
Note: All these listed features only work if your MongoDB instance is hosted with Atlas. Although you can use external tools to connect with your MongoDB instance hosted on Atlas.
MongoDB for VS Code [Beta]
The creators of MongoDB have also come out with an extension for VS Code. Although still in Beta, it already has 325k+ downloads and a 4.5 star rating.
- Navigate data: you can connect to your MongoDB cluster, navigate through databases, collections and documents, and get a quick overview of your schema and indexes.
- Shell quick access: on launching MongoDB shell from the VS Code command palette, you can connect to the same cluster you have active in VS Code.
- Playgrounds: you can edit and run commands to see results immediately. They also support, syntax highlighting, intelligent autocomplete, and staging of snippets to create aggregations.
Winning Feature: convenience
Most programmers use VS Code as part of their development kit. So they do not need to worry about installing and setting up an additional tool for connecting to MongoDB via a GUI. This extension offers them the convenience of interacting with MongoDB in a way that fits into their native workflow.
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 HumongouS.io)
HumongouS.io is a fully online MongoDB GUI. Since it’s online, HumongouS.io 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 HumongouS.io 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 HumongouS.io’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.
(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.
Retool is a fast way to build and deploy internal tools. It's an app-building platform where you can:
- Compose applications with 90+ drag-and-drop components
- Connect to any data source or API to work with all of your data sources seamlessly in one app
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 frontend for visualizing data
You can use Retool’s drag-and-drop components—including tables, buttons, text inputs, and search bars—to not only view your data but do any CRUD operations you desire. Once you connect your data sources, app building is a breeze.
The best MongoDB GUI for your project
As with any tool, ultimately, 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.