Add stages, remove them, or drag and drop to re-order in the pipeline. Code skeletons and auto-complete make it easy to build a stage, while a preview of documents shows you if the stage is doing what you need. Looking for other functionality? Install a plugin or build your ownĬonstruct aggregation pipelines in an intuitive UI. With a live preview of documents that pass and fail the validation rule, it's easy to see whether the rule has the desired behavior Extensible via plugins The Compass Plugin Framework is exposed as an API, making it extensible by users. Write JSON Schema validation rules in an intelligent editor that auto-suggests field names, BSON data types, and validation keywords. ![]() Add and remove indexes at the click of a button A simpler way to validate your data: Understand the type and size of your indexes, their utilization and special properties. Know how queries are running through an easy-to-understand GUI that helps you identify and resolve performance issues View utilization and manage your indexes: Modify existing documents with greater confidence using the intuitive visual editor, or insert new documents and clone or delete existing ones in just a few clicks Understand performance issues with visual explain plans: Point and click to construct sophisticated queries, execute them with the push of a button and Compass will display your results both graphically and as sets of JSON documents A better approach to CRUD makes it easier to interact with your data: Drill down into database operations easily and understand your most active collections Visualize, understand, and work with your geospatial data: Mac typically installs things with point and click packages because it focuses on the GUI. Linux folks who use Redhat and Ubuntu are used to installing things with yum and other package managers. Real-time server statistics let you view key server metrics and database operations. Homebrew is the ‘so called’ missing package manager for a Mac. It allows you to quickly visualize and explore your schema to understand the frequency, types and ranges of fields in your data set Get immediate insight into server status and query performance: MongoDB Compass analyzes your documents and displays rich structures within your collections through an intuitive GUI. Understand performance issues with visual explain plans, view utilization and manage your indices Know your data with built-in schema visualization Modify your data with a powerful visual editing tool. ![]() Visualize, understand, and work with your data through an intuitive GUI. Compass empowers you to make smarter decisions about indexing, document validation, and more Vizualize and explore: View and optimize your query performance. Interact with your data with full CRUD functionality. MongoDB Compass helps you visually explore your data.
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