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 # It provides support for replica sets, standalone hosts, and sharded clusters connections. Features #įully featured DB GUI Shell with code auto-completion and syntax highlighting. It offers an intuitive interface and high performance with support for all the MongoDB and MongoDB Enterprise’s latest features. NoSQL Manager unites friendly UI and Shell power.

It is available for Linux, Mac, or Windows. 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 allows you to make smarter decisions about indexing, document validation, and more. View and optimize your query performance. Interact with your data with full CRUD practically. Compass #Ĭompass lets you visually explore your data. Each tool discussed below has a decent UI, which gives you a user-friendly development experience.

The following NoSQL database management tools will help you to improve productivity. Since the SQL and non-SQL databases vary with their definitions, structure, and functions, the tool/client required to work with them also varies.

In the previous article, we explored some of the popular SQL clients, and here, let’s discuss NoSQL clients for efficient administration and development.

Tableplus linux