Audience
IT teams that need an advanced MongoDB GUI Client solution
About NoSQLBooster
NoSQLBooster is a cross-platform GUI tool for MongoDB Server 3.6-6.0, which provides a build-in MongoDB script debugger, comprehensive server monitoring tools, chaining fluent query, SQL query, query code generator, task scheduling, ES2020 support, and advanced IntelliSense experience. NoSQLBooster embeds V8 JavaScript engine. No external MongoDB command line tools dependence. Support MongoDB 3.6-6.0. With NoSQLBooster for MongoDB, you can run SQL SELECT Query against MongoDB. SQL support includes SQL JOINS, functions, expressions, aggregation for collections with nested objects and arrays.
Pricing
Starting Price:
$129 one-time payment
Free Version:
Free Version available.
Integrations
Company Information
NoSQLBooster
nosqlbooster.com
Videos and Screen Captures
NoSQL Manager
Intuitive interface and high performance of the desktop application save time for beginners and professional database developers and administrators. Full support of all the MongoDB, MongoDB Enterprise and Amazon DocumentDB databases makes your work hassle-free. Support of replica sets, standalone hosts and shared cluster connections. Autocompletion allows autocompleting the collection names and methods in MongoDB and Shell commands. As the text is typed into the Shell, the context of the cursor within the command provides an indication of whether the user needs a collection completion or a method completion. The collection completion provides a list of collections available in the current database. Easy document navigation, view and editing, limits to maximize performance, GUI editors for all MongoDB data types.
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MongoDB Compass
Easily work with your data in Compass, the GUI built by — and for — MongoDB. Compass provides everything from schema analysis to index optimization to aggregation pipelines in a single, centralized interface. Dissect your document schema to understand your data at a deeper level. Compass samples and analyzes your documents to provide detailed metadata on your collections, including the ranges of dates and integers, most frequent values, and more. Find the data you need in seconds with Compass’ built-in query bar. Filter the documents within your collection using intuitive query operators that correspond to expressions in other languages. Sample, sort, and modify results with high granularity. Add new indexes and remove underperforming ones to optimize queries, monitor real-time server and database metrics, investigate performance issues with the visual explain plan, and more.
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Studio 3T
Auto-complete queries in a built-in mongo shell that highlights syntax errors as you type and saves your query history. Perfect for MongoDB beginners, a time-saver for pros. Use a drag-and-drop UI to build complex find() queries and filter array elements. Break down aggregation queries into manageable steps and build them stage by stage, for easier debugging and querying. Generate instant code in JavaScript (Node.js), Java (2.x and 3.x driver API), Python, C#, PHP, and Ruby from MongoDB and SQL queries that you can copy and paste into your application. Save MongoDB imports, exports, data comparisons, and migrations as tasks that you can run on demand. Or even better, skip the reminders and schedule them to run exactly when you need them. Make changes to your collection’s schema in just a few clicks, perfect for schema performance tuning, restructuring, or cleaning up after data migration.
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HumongouS.io
We bring together everything required to work effectively with MongoDB. From our no-code Admin Panel for your non-technical team members to our lightweight and flexible Dashboards for PMs and execs, to our Query Editor for engineers' day-to-day data analysis and debugging needs. Visualize individual data points into vibrant and expressive forms with Widgets. Transform your boolean values into green and red dots, your image URLs into actual images, or your dates into relative ones. Creating a form has never been easier. In fact, it's only one click away. Our smart search engine understands intends behind your requests and translates them into optimized MongoDB queries. But in case you need finer control over your search queries, you can easily switch to the query mode and write any MongoDB expression you would normally write in the shell.
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Product Details
Platforms Supported
Windows
Mac
Linux
Training
Documentation
Support
Online