Best MongoDB GUI Clients for Linux of 2025

Auto-complete queries with a built-in Mongo shell. It highlights syntax errors as your type and saves your query history. This is a great tool for beginners and professionals who use MongoDB. Drag-and-drop UI allows you to create complex filter array elements and find() queries. For easier querying and debugging, break down aggregation queries into manageable stages and build them stage-by-stage. Instant code generation in JavaScript (Node.js), Java (2.x. driver API), Python, C# and PHP. You can also generate SQL queries and SQL queries from MongoDB that you can copy into your application. You can save MongoDB imports and exports, data comparisons and migrations as tasks you can run whenever you need them. You can also skip the reminders and set them to run when you need them. You can make changes to your collection's Schema in just a few clicks. This is great for schema performance tuning, restructuring or cleaning up after data migrating.

Navicat Premium is a database tool that allows you connect to MySQL, MariaDB and MongoDB as well as SQL Server, Oracle, PostgreSQL and SQLite databases simultaneously from one application. Compatible with cloud databases such as Amazon RDS, Amazon Aurora and Amazon Redshift, Microsoft Azure. Oracle Cloud, Google Cloud, MongoDB Atlas, MongoDB Atlas, Google Cloud, Oracle Cloud, Google Cloud, and Oracle Cloud. Your databases can be quickly and easily built, managed, and maintained. Data Transfer, Structure Synchronization, and Data Synchronization make it easier to migrate your data faster and with less overhead. Deliver detailed, step-by-step guidelines for transferring data across various DBMS. Data and Structure Synchronization allows you to compare and synchronize different databases. You can set up and deploy the comparisons within seconds. The detailed script will allow you to specify the changes that you want to make.

DbSchema is an innovative tool designed for collaborative visual schema design, deployment, and documentation within teams. Its various integrated features, such as data exploration, a visual query editor, and data generator, make it an essential resource for anyone working with databases on a daily basis. Supporting a wide range of both relational and No-SQL databases—including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, MongoDB, MariaDB, Redshift, Snowflake, and Google—DbSchema caters to diverse database needs. One of its standout capabilities is reverse-engineering database schemas and representing them visually through diagrams. Users can engage with their databases through these diagrams and other visual tools. The DbSchema model maintains its version of the schema structure, which is distinct from the actual database, enabling seamless deployment across various databases. This feature allows users to save design models as files, store them in GIT, and collaborate on schema design without needing a direct database connection. Additionally, users can easily compare different schema versions and generate SQL migration scripts, enhancing their workflow efficiency. Ultimately, DbSchema empowers teams to streamline their database management processes effectively.

Aqua Data Studio is a versatile, integrated development environment (IDE) designed for handling data across multiple platforms. It offers significant advantages to various data-oriented professionals by enabling them to efficiently manage a broad spectrum of data sources. This tool enhances productivity for IT specialists and those in data-focused roles, such as developers, database administrators, data analysts, data modelers, and data architects. By streamlining laborious operations related to SQL queries, data manipulation, result sets, schema management, data modeling, file handling, instance management, and server automation, it facilitates a more efficient workflow. Aqua Data Studio is compatible with the three major operating systems: Microsoft Windows, Apple macOS, and Linux, making it accessible to a wide user base. Furthermore, the application boasts a user-friendly graphical interface that supports nine of the most widely spoken languages, including English, Spanish, French, German, Korean, Portuguese, Japanese, and Chinese. Additionally, Aqua Data Studio is capable of interfacing with over 40 popular data source platforms, which encompass relational databases, NoSQL systems, and managed cloud data sources, thereby broadening its appeal and usability in the data management landscape. Ultimately, this makes Aqua Data Studio an invaluable asset for those who seek to optimize their data handling processes.

ClusterControl is a multi-cloud hybrid database ops orchestration platform that supports MongoDB and Elasticsearch as well as Redis, TimescaleDB and SQL Server on Linux. It also supports Galera Cluster, PostgreSQL and MySQL in cloud and on-premises environments. It can handle all aspects of the lifecycle, including deployment, failover, backup, and more. It allows organizations to implement the Sovereign DBaaS model with its full suite of databases and ops features. ClusterControl is the ideal solution for organizations who need to run large-scale, open source database operations reliably but don't want to be restricted by traditional DBaaS providers. It allows you to choose your environment, stability of licenses, and gives you DB access.

Modern native client with intuitive GUI tools to access, query, and edit multiple databases: MySQL. PostgreSQL. SQLite. Microsoft SQL Server. Amazon Redshift. MariaDB. CockroachDB. Vertica. Snowflake. Oracle. Redis.

The powerful code editor in dbKoda enables users to create MongoDB queries and scripts, featuring syntax highlighting, auto-completion, and formatting options. You can view results in a foldable JSON format, as a table, or in a chart, and with just one click, generate visual explain plans. This explain plan viewer not only identifies potential indexes to enhance performance but also allows for their creation with a single button press. Utilize the graphical query builder to construct both simple queries and intricate aggregates. dbKoda simplifies administrative tasks through fill-in-the-blank actions accessible from the database tree, allowing users to manage configurations, user roles, logging, storage, and data imports/exports without having to remember complex MongoDB commands. As you fill in the blanks, we automatically generate the necessary commands for reuse in admin scripts or for fine-tuning syntax as needed. Additionally, dbKoda comes equipped with an SSH terminal, granting direct command line access to the server OS, enabling you to execute OS commands seamlessly within the dbKoda environment, which enhances overall workflow efficiency. This integrated approach ensures that both development and administrative tasks can be completed with greater ease and effectiveness.

Effortlessly manage your data with Compass, the graphical user interface developed specifically for MongoDB. This powerful tool encompasses features such as schema analysis, index enhancement, and aggregation pipelines, all within a unified interface. Dive deep into your document schema to gain a comprehensive understanding of your data. Compass meticulously samples and evaluates your documents, offering in-depth metadata about your collections, including the variety of dates and integers, most common values, and additional insights. Locate the information you require in mere seconds using the intuitive query bar integrated into Compass. You can filter documents in your collection with user-friendly query operators that align with expressions from various programming languages. Additionally, you can sample, sort, and adjust results with exceptional precision. To enhance query efficiency, add new indexes or eliminate those that aren’t performing well, while also keeping track of real-time server and database metrics. Moreover, delve into performance issues with the visual explain plan feature, which provides clarity on query execution. With Compass, managing and optimizing your data has never been easier.

NoSQLBooster serves as a versatile GUI application compatible with MongoDB Server versions 3.6 to 6.0, featuring an integrated MongoDB script debugger alongside extensive server monitoring capabilities, fluent query chaining, SQL query support, a query code generator, task scheduling functionality, compliance with ES2020, and a sophisticated IntelliSense experience. It incorporates the V8 JavaScript engine and operates independently of any external MongoDB command line tools. Supporting versions 3.6 to 6.0, NoSQLBooster allows users to execute SQL SELECT Queries on MongoDB, offering SQL functionalities that encompass JOINS, functions, expressions, and aggregation for collections containing nested objects and arrays. Additionally, its user-friendly interface enhances the overall experience for developers and database administrators alike.

An Electron and AngularJS-based graphical user interface for MongoDB has been developed, providing a seamless experience for users interacting with their databases. This innovative tool enhances productivity by simplifying database management tasks.

MongoPilot transforms MongoDB management by offering a user-friendly GUI combined with powerful AI capabilities. Its visual query builder lets you easily construct queries through a drag-and-drop interface, while the local AI assistant helps you generate precise MongoDB queries through plain English commands. The platform’s local-first design means your data stays private and secure on your machine, and with MongoPilot’s smart automation, you can streamline your workflow, manage aggregation pipelines, and enjoy efficient, no-syntax-required querying.

Access data relationships instantly within the document itself. Mingo intelligently identifies document references and provides a preview or allows you to open the document effortlessly with a single click. Streamline your workflow by reducing the number of clicks and tasks needed to complete your work efficiently. Consolidate all your essential data into a comprehensive overview. Design your personalized dashboard featuring the data that matters most to you. Mingo’s Aggregator is designed to assist you in this process. With its user-friendly visual interface, it offers a clear understanding of the pipeline's functions, displays the outcomes at each stage, and highlights any errors that may arise. As you input your commands, the Aggregator suggests autocomplete options, validates your code, and retrieves sample results for every stage, ensuring you see immediate outcomes and confirming whether your code performs as anticipated. Additionally, if you need guidance on command usage, convenient links to documentation are readily accessible for your reference, making the entire experience even more user-friendly. This comprehensive tool is an excellent asset for anyone looking to enhance their data management and coding efficiency.

Accessible for a range of database components including Collections, Views, Functions, Indexes, GridFS, and MapReduce, our professional object designer enables users to create, alter, and design database elements without the need for scripting. Navicat for MongoDB is specifically crafted to enhance the efficiency of your everyday database operations. With its user-friendly interface, navigating and comprehending the functionalities has never been easier, providing innovative methods to oversee your MongoDB databases and significantly boosting your productivity. This tool supports all types of database objects, ensuring that you can manage everything seamlessly. Whether you are looking to modify existing objects or create new ones, our designer simplifies the process, making it accessible to users of all skill levels.

MonjaDB, created by JUMPERZ.NET, serves as a graphical interface client for MongoDB. It allows users to explore their databases, collections, and documents on a solitary MongoDB node, facilitating the straightforward creation, modification, or deletion of individual documents. This intuitive tool enhances user interaction with MongoDB, making database management more accessible and efficient.