In the previous article, we explored some of the popular SQL clients, and here, let’s discuss NoSQL clients for efficient administration and development. Since the SQL and non-SQL databases vary with their definitions, structure, and functions, the tool/client required to work with them also varies. The following NoSQL database management tools will help you to improve productivity.  Each tool discussed below has a decent UI, which gives you a user-friendly development experience.

Compass

Compass lets you visually explore your data. Run ad-hoc queries in seconds. Interact with your data with full CRUD practically. View and optimize your query performance. It allows you to make smarter decisions about indexing, document validation, and more.

Features

Know your data with intrinsic schema visualization Get immediate insight into query performance and server status Visualize, understand, and work along with your geospatial data A higher approach to CRUD makes it easier to interact with your data Understand performance problems  with visual explain plans View utilization and manage your indexes

It is available for Linux, Mac, or Windows.

NoSQL Manager

NoSQL Manager unites friendly UI and Shell power. It offers an intuitive interface and high performance with support for all the MongoDB and MongoDB Enterprise’s latest features.

Features

Fully featured DB GUI Shell with code auto-completion and syntax highlighting. It provides support for replica sets, standalone hosts, and sharded clusters connections. The editor comes with three views Tree, Table, and JSON read modes Simple view and management option for all kinds  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

NoSQL Booster

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

Features

Monitor and Tune for Performance Learn MongoDB with Free Interactive Samples Fluent MongoDB Query builder Schema Analyzer Shell Extensions, Using Node Modules, Lodash, Momentjs in Script

Robo Mongo

Robo 3T (formerly Robomongo) is a contemporary, robust, and community-driven MongoDB management tool for MongoDB enthusiasts. This lightweight, open-source tool has cross-platform support and embeds the mongo shell within its interface to provide both shell and GUI-based interaction. It’s developed by the 3T Software package, the team behind Studio 3T, the IDE for MongoDB.

 QueryAssist

QueryAssist is a professional GUI tool for the NoSQL database. It offers a fully-featured shell, in-place editing, multiple levels of authentication, data transfer between databases, and more.

TablePlus

TablePlus is a modern, native with a friendly GUI tool. It permits you to simultaneously manage multiple relational and non-relational databases such as MySQL, Redis, MongoDB, Cassandra, PostgreSQL, SQLite, Microsoft SQL Server, etc. It doesn’t store any of your information on their server. All database credentials are safely kept within your computer storage.

dbKoda

dbKoda is a modern open-source database development and admin tool. You can download it for Mac, Windows, Linux.

Features

Rich text editor with auto-complete, syntax highlighting, and code info. Unique real-time Performance dashboard. Visual explain plan. Index advisor. Graphical aggregation pipeline builder. One-click access to MongoDB administration commands. Real-time view of user activity. Storage analyzer. SQL queries with Apache Drill. Convert MongoDB commands to Node.js syntax. Data load and unload utility. Profiling manager. Chart builder.

Studio 3T

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

Features

Autocomplete queries with IntelliShell Drag and drop fields to build queries visually Use SQL, with INNER and OUTER joins, to query DB Generate driver-code from SQL or shell into PHP, Python, Javascript, and others Effortlessly compare and synchronize data Build aggregation queries stage by stage Automate and schedule repetitive MongoDB tasks

Aqua Data Studio

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

 Features

Modern and intuitive GUI Flexible administration and management of databases. Powerful SQL editor, visual query builder, and ER diagram modeler. In-depth comparison of schema, data, or files, and synchronization of schema Easily integration with version control systems for SQL and files Provides connectivity to 30+ data sources including Microsoft SQL Server, Oracle, IBM Db2, MySQL, PostgreSQL, MongoDB, SQLite, Cassandra, Snowflake, and generic ODBC

Mongoku

A piece of good news for MongoDB users – Meet Mongoku – a web-based client built with Node.js, Angular, and TypeScript.

As you can see, you can query data and perform all the operations. The response is fast, and the interface is clean.

Conclusion

I hope the above clients help you to manage NoSQL databases more efficiently.

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