In the previous article, We examined some of the most common SQL clients and explained NoSQL clients for efficient management and development.

Databases are at the heart of almost every Internet and enterprise application we can imagine. The demands on scalability, speed, and rapid application development have created a new generation of NoSQL databases. SQL and non-SQL databases vary depending on definition, structure, and functionality. The tool/client needed to work with them also differs.

The following NoSQL database management tools help you improve productivity. Each of the tools described below has a decent user interface that gives you an easy-to-use development experience.

1. NoSQL Client

The name itself is nosqlclient; It used to be called mongoclient. It’s compatible with desktop, docker, and web distribution. If you are not yet familiar with development in the NoSQL world, it is recommended that you start with the desktop distribution. If you are familiar with Docker then it is better to use Docker Build.

It supports LDAP, Kerberos, and X509 authentication. Some of the features contain the following.

• Live charts for active reads/writes for capture and live monitoring for storage and database statistics.
• Intelligent MongoDB shell with automatic completion.
• File Management (GridFS).
• Aggregation pipeline tool, drag-and-drop phases between your pipeline list.
• Multiple result views while retaining the history and query document
• Schema Analyzer (with variete.js).
• Automatic field completion for queries.

2. Compass

Compass This option allows you to visually examine your data. Run ad hoc queries in seconds. Interact with your DATA and CRUD. View and optimize your query performance. It gives you the ability to make smarter decisions about indexing, document validation, and more.

Compass Properties

• Know your data with the intrinsical schema visualization.
• Get instant insight into query performance and server status.
• Visualize, understand, and work with your geospatial data.
• A higher CRUD approach makes it easier to interact with your data.
• Understand performance issues with visual explanation plans.
• View usage and manage your indexes.

It is available for Linux, Mac, or Windows.

3. NoSQL Manager

NoSQL Manager combines friendly UI and shell power. It provides an elegant user interface and high performance support for all the latest features of MongoDB and MongoDB Enterprise.

NoSQL Manager Properties

• Fully equipped DB GUI shell with automatic code completion and syntax highlighting.
• It provides support for replica sets, standalone hosts, and sharded cluster connections.
• The editor has three views: tree, table, and JSON reading modes.
• Simple Quick view and management options for all types of MongoDB objects.
• Import tables from MySQL or SQL Server databases.
• Multiple Mongo Host Database Connections.
• Export documents to CSV, XML, XLSX, or JSON file formats.

4. NoSQL Booster

The smartest IDE NoSQLBooster for NoSQL DB (formerly MongoBooster) could be a shell-centric cross-platform GUI tool for the NoSQL database that provides comprehensive server monitoring tools, fluid query builders, SQL query, query code, ESNext task scheduling support, and true IntelliSense experience.

NoSQL Booster Properties

• Monitor and optimize performance.
• Learn MongoDB with free interactive examples.
• Flowing MongoDB Query Builder.
• Schema Analyzer.
• Shell extensions, using node modules, Lodash, Momentjs in the script.

5. Robbery Mongo

Robo 3 T (formerly Robomongo) is a modern, secure, community-driven MongoDB management tool for MongoDB enthusiasts. This lightweight open-source tool provides cross-platform support and additionally embeds the Mongo shell into the user interface to enable both shell- and GUI-based interaction. Created by the 3T software kit, the Studio 3T team, the MongoDB IDE.

6. QueryAssist

QueryAssist is a professional NoSQL database GUI toolGUI tool. It offers fully functional shelling, in-place editing, multiple levels of authentication, data transfer between databases, and more.

7. TablePlus

TablePlus is a modern, native tool with a friendly GUI. You can use it to manage multiple relational and non-relational databases such as MySQL, Redis, MongoDB, Cassandra, PostgreSQL, SQLite, Microsoft SQL Server, and so on simultaneously.

It does not store any of your information on your server. All database credentials are securely stored in your computer store.

8. dbKoda

dbKoda is a modern open-source database development and management tool. Available for Mac, Windows, and Linux.

dbKoda Properties

• Rich text editor with automatic completion, syntax highlighting, and code information.
• Unique real-time performance dashboard.
• Visual explanation plan.
• Index consultant.
• Builder for graphical aggregation pipeline.
• One-click access to MongoDB management commands.
• Real-time view of user activity.
• Memory analyzer.
• SQL queries with Apache Drill.
• Convert MongoDB commands to Node.js syntax.
• Utility for loading and unloading data.
• Profiling Manager.
• Chart Builder.

9. Studio 3T

Studio 3T is an integrated development environment designed specifically for teams working with NoSQL Database:

Studio 3T Properties

• Autocomplete queries with IntelliShell.
• Drag and drop fields to visually create queries.
• Use SQL with INNER and OUTER joins to query the database.
• Generate driver code from SQL or shell in PHP, Python, Javascript, and others.
• Easily compare and synchronize data.
• Create step-by-step aggregation queries.
• Automate and schedule repetitive MongoDB tasks.

10. Aqua Data Studio

Aqua Data Studio is a universal, integrated development environment for NoSQL databases and visual analytics.

Aqua Data Studio Properties

• Modern and intuitive user interface.
• Flexible management and management of databases.
• Powerful SQL editor, visual query generator, and ER chart modeler.
• Detailed comparison of schema, data, or files, and synchronization of the schema.
• Easy integration with version control systems for SQL and files.
• Provides connectivity to over 30 data sources, including Microsoft SQL Server, Oracle, IBM Db2, MySQL, PostgreSQL, MongoDB, SQLite, Cassandra, Snowflake, and generic ODBC.

Conclusion

We hope the above clients will help you manage NoSQL databases more efficiently.