Best MongoDB GUI Clients of 2024

Find and compare the best MongoDB GUI Clients in 2024

Use the comparison tool below to compare the top MongoDB GUI Clients on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    DataGrip Reviews

    DataGrip

    JetBrains

    $199 per year
    2 Ratings
    DataGrip is our new database IDE, designed to meet the needs of professional SQL developers. You can execute queries in multiple modes. It also provides a local history which keeps track of your activity and protects your work from being lost. You can jump to any table or view by the name of the action or directly from the SQL code. This tool gives you a detailed insight into the behavior of your queries and the database engine behavior so that you can optimize your queries. DataGrip allows you to write SQL code more quickly by providing context-sensitive code completion. Completion can detect the table structure, foreign keys and even database objects that were created in the code you are editing. DataGrip will detect potential bugs in your code and suggest the best ways to fix them. It will instantly notify you of unresolved objects using keywords as identifiers. It also offers solutions.
  • 2
    DBeaver Reviews
    Multi-platform database tool that is free for database administrators, analysts, developers, and anyone who needs to work with databases. All popular databases supported: MySQL, PostgreSQL SQLite, Oracle and SQLite. The format configuration editor was also added. Extra configuration for filter dialog (performance). For small fetch sizes, sort by column as fixed. Support for case-insensitive filters was added. Plaintext view now supports top/bottom dividers. Data editor was updated to fix conflicts between column names and alias names. Multiple rows were fixed by the Duplicate Row(s) command. The context menu was restored to the Edit sub-menu. Columns were auto-sized. Dictionary viewer was updated (for read-only connections). Configurable support for current/selected row highlighting was added
  • 3
    Navicat Premium Reviews

    Navicat Premium

    Navicat

    $64.99 per month
    1 Rating
    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.
  • 4
    Retool Reviews

    Retool

    Retool

    $10 per user per month
    1 Rating
    Retool is a platform that enables developers to combine the benefits of traditional software development with a drag-and-drop editor and AI to build internal tools faster. Every tool can be deployed anywhere, debugged with your toolchain, and shared reliably at any scale—ensuring good software by default. Retool is used by industry leaders such as Amazon, American Express, and OpenAI for mission critical custom software across operations, billing, and customer support.
  • 5
    DbSchema Reviews

    DbSchema

    Wise Coders Solutions

    $63 one time payment
    1 Rating
    DbSchema allows you to visual design the schema in a group, deploy it and then document it. DbSchema also includes integrated features such as data explorer, visual query editor and data generator. This makes it an all-purpose tool for anyone who works with databases. DbSchema is compatible with all No-SQL and relational databases, including MySQL and PostgreSQL. It also supports SQLite, Microsoft SQL Server and MongoDB. MariaDB, Redshift. Snowflake. Google, and many others. DbSchema reverse-engineers the database schema and visualizes it as diagrams. Diagrams and visual tools will be used to interact with the database. DbSchema model uses its own copy of the schema structure, independent of the database. This allows you to deploy the schema on multiple databases. You can save the design model to file and store it in GIT. Then, design the schema with a team.
  • 6
    DronaHQ Reviews

    DronaHQ

    DronaHQ

    $0/month
    DronaHQ is a powerful low-code/no-code platform that enables businesses to build, deploy, and manage custom applications at scale. Key features include: - Customizable UI components - 10x faster app development - Seamless integration to any existing tech stack - Scalable cloud-based architecture - Over 50 Engineering Support Hours (UVP) DronaHQ saves precious developer hours, protect LTV, and reduce churn for enterprises. Developers and engineering teams use this platform to create admin panels, CRUD apps, GUI for Databases or APIs, forms, dashboards & operational apps.
  • 7
    Studio 3T Reviews

    Studio 3T

    Studio 3T

    $199/year/user
    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.
  • 8
    ClusterControl Reviews

    ClusterControl

    Severalnines

    €250/node/month
    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.
  • 9
    TablePlus Reviews

    TablePlus

    TablePlus InC

    $59.00
    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.
  • 10
    Aqua Data Studio Reviews

    Aqua Data Studio

    AquaFold, an Idera, Inc. company

    $499 per user per year
    Aqua Data Studio is a tool for database administrators and database developers. It also helps data and business analysts manage data platforms and analyze data visually. It offers a unique combination, unlike its competitors, of a full-featured database editor and visual analytics. It also supports flexible import and export, advanced SQL queries optimization, extensive comparisons of databases and data, as well as powerful team collaboration.
  • 11
    DBHawk Reviews

    DBHawk

    Datasparc

    $99.00/month/user
    DBHawk enabled our customers to comply with GDPR and HIPAA, SOX and GLBA regulations. Self-Service BI & Adhoc Reporting Tool that allows you to set Data Access Policy, connect to multiple data sources, create powerful SQL charts, and dashboards. DBHawk SQL editor allows users to create, edit, and run SQL queries via a web-based interface. DBHawk Query Maker is compatible with all major databases, including Oracle, Microsoft SQL Server and PostgreSQL. A web-based central tool allows you to automate SQL tasks and batch jobs. Our all-in-one data platform provides secure access to SQL, NoSQL, and Cloud databases. Our customers trust us to protect their data and allow them to access it. Centralized Security, Auditing, and insights into your user's activities.
  • 12
    dbKoda Reviews

    dbKoda

    dbKoda

    Free
    Rich code editor dbKoda allows you to create MongoDB queries and scripts using syntax highlighting, autocomplete, and code formatting. You can view the output in foldable JSON format, tabular format, or as a chart. With just one click, you can generate visual explain plans. The explain plan viewer will suggest indexes to improve performance and allow you to create those indexes with one click. The graphical query builder allows you to create simple queries and complex aggregates. Using fil-in-the blanks actions from the database tree, dbKoda allows you to perform administrative activities. You can manage configuration, user roles and logging. You can also import and export data without needing to know MongoDB syntax. You can fill-in the blanks to create the appropriate commands. This allows you to re-use the command in adminscripts or modify the syntax as needed. dbKoda comes with an SSH terminal that allows you to access the server OS command line from within the product.
  • 13
    MongoDB Compass Reviews
    Compass, the GUI created by and for MongoDB, allows you to easily work with your data. Compass offers everything you need, from schema analysis to index optimization to aggregation pipes, in one centralized interface. To understand your data better, you can dissect your document schema. Compass analyzes your documents and samples them to provide detailed metadata about your collections, including the most common values and ranges of dates and integers. Compass' built in query bar makes it easy to find the data you need. You can filter the documents in your collection with intuitive query operators that correspond with expressions in other languages. You can sort, sample, and modify the results with great granularity. To optimize queries, add new indexes or remove underperforming ones, monitor real-time database and server metrics, investigate performance problems with the visual explain plan, among other things.
  • 14
    NoSQLBooster Reviews

    NoSQLBooster

    NoSQLBooster

    $129 one-time payment
    NoSQLBooster, a cross-platform GUI tool, is for MongoDB Server 3.6 to 6.0. It provides a MongoDB script debugger and comprehensive server monitoring tools. It also offers a MongoDB query code generator, task scheduling, ES2020 Support, and chaining fluent query. NoSQLBooster embeds V8 JavaScript engine. No dependence on MongoDB command-line tools. Support MongoDB 3.6 to 6.0 NoSQLBooster MongoDB allows you to run SQL SELECT Query against MongoDB. SQL support includes SQL functions, SQL JOINS, SQL SELECT Query against MongoDB, and SQL expressions.
  • 15
    Mongotron Reviews

    Mongotron

    Mongotron

    Free
    A Mongo DB GUI created using Electron and Angular Javas.
  • 16
    Adminer Reviews
    Adminer replaces phpMyAdmin. You will have a cleaner user interface, better support of MySQL features, more performance, and greater security. Adminer's security is a top priority. Adminer prohibits you from connecting to databases without a password. It also rates-limits connections to protect against brute force attacks. Adminer can still be made inaccessible to the public by whitelisting IP addresses that are allowed to connect to it, password protecting your web server, enabling security plug-ins (e.g. You can also customize the login method or require an OTP. If you don't need Adminer anymore, you can delete it. It is only one file that can be uploaded in the future. Adminer has had security issues in the past. If Adminer informs you that a new version is available, update immediately. Ask your administrator if you are unable to update yourself. Connect to a database server using username and password. /Select an existing or create a new database.
  • 17
    Nucleon Database Master Reviews

    Nucleon Database Master

    Nucleon Software

    $99 one-time payment
    Nucleon Database Master is an intuitive, modern, powerful and simple to use database administration, management, and query software. It has a consistent and modern interface. Database Master makes it easy to manage, monitor, query, edit, visualize, design relational and NoSQL DBMSMS. Database Master lets you execute extended SQL, JQL, and C# (Linq), query scripts. It also provides all database objects, such as tables, views and procedures, columns, indexes and relationships (constraints), collection, triggers, and other objects.
  • 18
    Mingo Reviews

    Mingo

    Mingo

    Free
    You can view data relations directly within the document. Mingo recognizes document references and will show you a preview of the document or let you open it with just one click. Mingo will save you time and reduce clicks. All your important data can be gathered in one place. Make your own dashboard with all the data you need. Mingo's Aggregator can help. Its visual UI gives you a clear overview of the pipeline, the results at each stage, and any errors. Aggregator offers autocomplete options and checks code validity, as well as loading sample results for each stage. This allows you to see the immediate results and determine if your code is performing as you expect. Quick links to documentation are available if you have any questions about commands.
  • 19
    NoSQL Manager Reviews

    NoSQL Manager

    NoSQL Manager

    $125 one-time payment
    The intuitive interface and high performance of this desktop application make it easy for both beginners and professionals to use as a database developer or administrator. You can work with all MongoDB, MongoDB Enterprise, and Amazon DocumentDB databases. Support for replica sets, standalone hosts, and shared cluster connections. Autocompletion allows autocomplete of collection names and methods in MongoDB or Shell commands. The context of the command within the Shell indicates whether the user requires a collection completion. The collection completion displays a list of all collections in the current database. Easy document navigation, view, and editing, performance limits, GUI editors for all MongoDB types.
  • 20
    HumongouS.io Reviews
    This bundle includes everything you need to be able to use MongoDB effectively. Our no-code Admin Panel is for non-technical staff members. We also offer lightweight, flexible Dashboards for executives and PMs. Finally, our Query Editor is for engineers' daily data analysis and debugging. With Widgets, you can visualize individual data points in vibrant and expressive forms. Your boolean values can be transformed into green and red dot, your image URLs into actual photos, or your dates into relative ones. It's easier than ever to create a form. It's just a click away. Our intelligent search engine interprets your requests and converts them into optimized MongoDB query queries. If you want to have more control over your search queries you can switch to query mode and type any MongoDB expression that you would normally use in the shell.
  • 21
    Navicat for MongoDB Reviews
    All database objects are available, including Views, Functions and Indexes. You can create, modify, and design database object objects using our professional object designer, without having to write a script. Navicat for MongoDB was designed to simplify your database tasks. The new interface is simple to use and understand. It gives you new ways of managing your MongoDB databases, making your work easier than ever. All database objects are supported, including Views, Views and Functions, Indexes GridFS, MapReduce, GridFS, and Indexes. You can create, modify, and design database object designs using our professional object designer, without having to write a script.
  • 22
    MonjaDB Reviews

    MonjaDB

    codecentric

    JUMPERZ.NET has developed MonjaDB, a GUI client for MongoDB. You can browse your MongoDB collections, documents, and databases from a single MongoDB Node. You can easily create, edit, or remove single documents.
  • 23
    phpMoAdmin Reviews
    Sort by any key in your data object (even sub-keys!) You can choose to sort with ascending/descending options. You can set the page number (or unlimited) that you want to display results. Option to enable password protection for one user or more; simply add the username-password(s), to the array at top of the file. Any version of PHP5 that includes the MongoDB NoSQL and Mongo PHP drivers.
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Overview of MongoDB GUI Clients

MongoDB GUI Clients are graphical user interfaces (GUIs) designed to make it easier for non-technical users to interact with MongoDB databases. They provide a visual representation of the data, which makes it easier to view and manage the data. This can be especially helpful when working with large datasets or when trying to understand the structure of the data.

MongoDB GUI clients come in many forms: desktop applications, web-based applications, mobile apps, and more. The two most popular desktop applications are MongoDB Compass and Robo 3T (formerly known as Robomongo). Compass is a cross-platform application that provides an intuitive visual interface for exploring and managing documents within your database. It allows you to easily browse collections, visualize document structures, and run common queries without writing any code. Robo 3T is another popular desktop client that provides basic CRUD (Create Read Update Delete) operations as well as support for database commands such as aggregation pipelines and map/reduce. Another popular tool is Studio 3T which combines features from both MongoDB Compass and Robo 3T into one application with additional advanced features such as schema analysis and query-building tools.

In addition to desktop applications, there are also web-based GUIs that allow users to access their databases from anywhere at any time. These include MongoDB Atlas which provides a fully managed cloud-hosted database service with a builtin GUI client; NoSQLBooster which allows users to interactively navigate through their MongoDB data; Cloud Manager which enables users to monitor their deployments in real time; and mLab which offers an interactive browser option for viewing documents stored in a MongoDB collection.

Finally, there are also several mobile apps available for both Android and iOS devices that provide similar functionality but on the go including MONGO DB Mobile Lite for viewing documents stored in your collections; PL/SQL Client Pro for running queries against your database servers; Querify App for creating custom queries based on fields or collections; and MLab Viewer for quickly viewing your entire dataset without having to write any queries or scripts.

Overall, whatever type of user you may be, there's likely a MongoDB GUI client out there that could help make managing your databases much more seamless.

What Are Some Reasons To Use MongoDB GUI Clients?

  1. Visualization of data: MongoDB GUI clients provide a graphical interface to visualize the structure and content of a MongoDB database, along with query results and documents. This makes it easier to explore and analyze your data quickly.
  2. Easy document manipulation: A MongoDB GUI client lets you easily create, edit, copy, and delete documents from within the database. This eliminates the need for writing code in order to manipulate documents in the database.
  3. Database administration: The graphical user interface provides administrative tools which enable users to perform key tasks such as setting up databases, creating collections, indexes etc., without having to write code for these tasks.
  4. Automated backups: A good number of MongoDB GUI clients come with automated backup functionality built in which enables users to schedule backups at regular intervals or on demand when needed so that important data is kept safe without any manual intervention required from an administrator’s side.
  5. Query building: Another great feature offered by many MongoDB GUI clients is their ability to assist in the query creation process which would otherwise be done manually through coding operations taking more time than necessary to formulate complex queries or commands accurately according to the user's requirements

Why Are MongoDB GUI Clients Important?

MongoDB GUI clients are an important part of being able to effectively use MongoDB. GUI Clients provide users with an easy to navigate user interface to interact with their MongoDB databases. By providing an intuitive graphical interface, these clients allow users to quickly and easily view, modify, delete and create new data within their databases without needing to have a preexisting understanding of the database’s underlying architecture or syntax. This makes it easier for those who are beginners or unfamiliar with the technology to get up and running quickly.

The ability of a GUI client allows administrators to take advantage of convenient features such as visual representations of documents in collection structures, enabling them to understand how collections are structured and visualize changes occurring within the database in real time. These types of insights can be invaluable when approaching problem-solving tasks such as debugging queries or understanding document relationships across multiple collections.

In addition, specifically for developers, having access to helpful tools like autocomplete query editors helps make development faster by giving them intelligent suggestions while writing queries so they don't need to remember each command's exact syntax every time they need it saving them time on tedious tasks that could otherwise stack up over time during the course of development. A great example is Studio 3T’s Query Code which generates JavaScript code automatically when composing MongoDB queries so that manual coding is minimized whenever possible.

Finally, plenty argue that there’s still no match for developing applications directly from a GUI instead of relying solely on programming languages this lets people see exactly where they’re going wrong while eliminating any ambiguities that may arise from manually written codes which may not be digestible easily by another person later on down the line if someone else needs to understand it at some point in time. Altogether this added functionality provided by many popular MongoDB GUIs make life much easier for both Administrators and Developers alike making them essential components for anyone wanting leverage MongoDB's full potential without any unnecessary hassles along the way.

Features Offered by MongoDB GUI Clients

  1. Database Viewer: MongoDB GUI clients typically provide a graphical interface for interacting with and managing databases. This allows users to easily browse, search and edit documents stored in the database without having to write code or run scripts.
  2. Visual Query Builder: MongoDB GUI clients often come with an intuitive visual query builder which allows users to create queries for selecting specific data from their databases without needing to manually type out the command line equivalent. This is particularly useful for those who may not be comfortable using complex MongoDB commands.
  3. Data Transformation Tools: In addition to being able to query the database, most MongoDB GUI clients also offer data transformation tools that enable you to quickly modify large amounts of data in one go instead of having to perform small changes one at a time on individual documents.
  4. Graphical Aggregation Pipeline Editor: Many MongoDB GUI clients come equipped with a graphical aggregation pipeline editor that can help make building complex pipelines easier by breaking them down into smaller pieces that can be more easily understood and processed by the client software itself. This makes it much simpler for users who are unfamiliar with MongoDB's aggregation pipeline syntax but need a way of combining multiple operations into a single evaluation step when dealing with large datasets or advanced analytics tasks such as machine learning or text analysis.
  5. User Management: Alongside providing tools for querying, transforming, and manipulating data, some MongoDB GUI clients include user management features that allow administrators to grant granular access permissions per user group so only certain individuals have access to sensitive information within the system while still allowing everyone else limited viewing privileges necessary for various tasks such as debugging applications or performing basic troubleshooting steps during development cycles. This feature helps ensure better security around any production environment where confidentiality must remain at all times.

Types of Users That Can Benefit From MongoDB GUI Clients

  • Developers: Developers can benefit from MongoDB GUI clients because they provide an intuitive graphical interface which makes it easier to design and manage complex database structures.
  • Database Administrators: Database administrators can benefit from using a MongoDB GUI client as it simplifies the process of creating, updating, and deleting databases. It also provides visual tools for monitoring performance and ensuring data integrity.
  • NonTechnical Users: Nontechnical users such as marketers or business analysts can use MongoDB GUI clients to easily access and visualize data without having to write code. This can help them make informed decisions about their business strategies.
  • Data Scientists: Data scientists can leverage the advanced features offered by MongoDB GUI clients such as visualization tools and query language support, making it much easier to explore datasets and uncover trends in the data.
  • Educators/Students: Educators, students, or other users who are just starting out with MongoDB can use a MongoDB GUI client as a learning tool to quickly get up to speed on the basics of the database software and its related technologies.

How Much Do MongoDB GUI Clients Cost?

MongoDB GUI clients can typically come at various price points, depending on the features and capabilities they offer. The simplest versions of some MongoDB GUI clients may be free open source programs available online or through their provider website. These versions may lack in fully featured UI capabilities or require more technical knowledge to use them effectively, but they are a great starting point for users just getting used to working with MongoDB databases.

More robust GUI client solutions are available as commercial products from third party vendors and will usually have a cost associated with them. Their prices can range from hundreds to thousands of dollars depending on the features included and how often those features need to be updated. Many offer subscription-based pricing models which allow you access to updates over time which is especially useful for larger organizations that want consistent support for their production systems.

No matter what product you choose, understanding what features your MongoDB GUI client offers and how much it costs upfront is important when selecting the right solution for your organization's needs.

MongoDB GUI Clients Risks

  • Poor User Authentication: Many MongoDB GUI clients do not offer adequate user authentication, meaning that users’ accounts and passwords can be easily compromised. An attacker could gain access to sensitive data or perform malicious operations.
  • Data Loss: Database changes made through a MongoDB GUO client may not get tracked, resulting in the accidental deletion of valuable information.
  • SQL Injections/Security Vulnerabilities: User input can be injected into the database if there is no proper validation and filtering of the data. This can lead to security vulnerabilities and disclosure of confidential information stored in the database.
  • Limited Auditing Capabilities: Most MongoDB GUO clients lack support for audit trails and logs, making it difficult to track activities within databases or detect potential intrusions.

Types of Software That MongoDB GUI Clients Integrate With

GUI clients for MongoDB can integrate with a variety of different types of software, such as web servers, databases, and cloud hosting services. This allows users to access their data from any device or platform, as well as enabling them to easily perform various tasks such as creating databases, running queries, and managing collections. Additionally, GUI clients can provide helpful visual tools like charts and diagrams that make it easier to view and understand large amounts of data. With the help of integration features offered by MongoDB's GUI client support, users may also be able to extend the functionality of their applications or even customize existing ones.

What Are Some Questions To Ask When Considering MongoDB GUI Clients?

  1. Is the MongoDB GUI client easy to use?
  2. Does it offer a convenient user interface that allows you to quickly access, query, and modify data?
  3. Does the client have features like visual tablebased query building, interactive query results page, and an autocomplete feature for writing queries?
  4. Can you view detailed MongoDB document structures including embedded documents, arrays, subdocuments etc.?
  5. How much does it cost?
  6. What kind of support does the vendor provide for the application (e.g., online tutorials or video training)?
  7. How secure is the application's connection to your database?
  8. Does it have full CRUD (Create/Read/Update/Delete) capabilities and can you execute custom commands such as MapReduce functions or aggregation pipelines directly inside of
  9. its user interface?
  10. Are there any limitations on its querying capabilities compared to using a command line interface with Mongo shell commands such as find() and aggregate()?
  11. What is the performance like when performing complex queries with large data sets involving sorting or scanning operations?