The smartest IDE for MongoDB.
NoSQLBooster is a cross-platform GUI tool for MongoDB Server 3.6-6.0, which provides a built-in MongoDB script debugger, comprehensive server monitoring tools, linked fluent query, SQL query, query code generator, task scheduling, ES2020 support and advanced IntelliSense experience.
Embedded MongoDB Shell
NoSQLBooster embeds the V8 JavaScript engine. No external MongoDB command-line tool dependencies. Support MongoDB 3.6-6.0
Query Code Generator
Convert MongoDB find/aggregation and SQL to Node.js, Java, Python, C#, PHP, Ruby, Golang and mongo shell languages
Tasks and Task Scheduler
Define and execute tasks to import/export, dump/restore or run script files on a regular schedule.
Why choose NoSQLBooster for MongoDB?
Is MongoDB Script Debugger
still using statements to debug your MongoDB script? Now you can use NoSQLBooster's built-in debugging features to set breakpoints and step through your code.
To start debugging, click the editor's text margin to set a breakpoint, then run with the debugger. When a breakpoint is hit, you can browse the call stack, watch and edit variables, and interact directly with the debugger. F9---F5
True IntelliSense
NoSQLBooster for MongoDB provides a true IntelliSense experience. The built-in language service knows all possible completions, methods, properties, variables, keywords, and even MongoDB collection names, field names, and operators. Intellisense suggestions pop up as you type. You can always trigger it manually. The triggers are acceptable out of the box. Ctrl-Shift-SpaceCtrl-SpaceAlt-Space
In the script editor, parameter prompts pop up as you type method calls.
We provide tons of built-in snippets, handy date range snippets, SQL to MongoDB conversion snippets...
mouseover reveals lots of useful information such as symbol types, function definitions, type info and documentation.
As long as the cursor is near one of the brackets, the matching brackets will be highlighted.
With NoSQLBooster for MongoDB, you can run SQL SELECT Query against MongoDB. SQL support includes SQL JOINS, functions, expressions, aggregations with nested objects and collections of arrays.
Let's see how to use GROUP BY clause and SUM function in SQL.
Instead of writing MongoDB queries expressed as JSON-like structures
SQL query function
Access data through SQL, including WHERE filter, sort by, group by, with, different, limit
SQL functions (count, sum, maximum, minimum, average)
date, string, conversion function (date to String, to upper, split, sub...
Aggregate pipeline operators as SQL functions
SQL Equi JOIN and uncorrelated subqueries
Provides programming interface (mb.runSQLQuery)
keywords, MongoDB collection names that can be integrated into scripts , field names, and autocompletion of SQL functions
Monitor and tune performance
NoSQLBooster provides a wealth of performance monitoring and analysis tools to help you keep your MongoDB environment running smoothly.
Visualize explain plans, convert explain output into hierarchical views, allow query tuning to enhance queries and resolve performance issues.
Server real-time status (mongostat), view MongoDB real-time performance indicators in chart or table form.
In-progress operations viewer to quickly find and terminate long-running MongoDB operations.
MongoDB log parser, easier to parse, filter and analyze MongoDB log information.
A database performance analyzer that collects detailed information about database commands executed against a running mongod instance.
A GUI for mongotop that comprehensively tracks the time taken for read and write operations.