27 lines
18 KiB
Markdown
27 lines
18 KiB
Markdown
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---
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obj: application
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website: https://www.mongodb.com/products/tools/compass
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repo: https://github.com/mongodb-js/compass
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---
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# MongoDB Compass
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Compass is a free interactive tool for querying, optimizing, and analyzing your [MongoDB](MongoDB.md) data. Get key insights, drag and drop to build pipelines, and more.
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![Screenshot][Screenshot]
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### 1. **Intuitive User Interface**
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MongoDB Compass features an intuitive and user-friendly interface, making it accessible to both beginners and experienced MongoDB users. The GUI simplifies complex database interactions, allowing users to perform various tasks with ease.
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### 2. **Visual Data Exploration**
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- **Graphical Schema View:** Visualize the structure of your MongoDB collections and relationships between documents.
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- **Real-time Performance Statistics:** Monitor the performance of your queries and operations with visual feedback.
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### 3. **Query Building and Execution**
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- **Query Builder:** Construct MongoDB queries using a visual drag-and-drop interface.
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- **Real-time Query Execution:** Execute queries and view results instantly, helping users fine-tune their queries.
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### 4. **Index Management**
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- **Index Optimization:** Analyze and optimize indexes for improved query performance.
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- **Index Creation:** Create and manage indexes directly within the Compass interface.
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### 5. **Aggregation Pipeline Builder**
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- **Visual Aggregation Pipeline:** Build and analyze [MongoDB](MongoDB.md) aggregation pipelines using a visual interface.
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- **Pipeline Execution:** Execute aggregation pipelines and observe results in real-time.
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[Screenshot]: data:image/avif;base64,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