Working with Data
Data Explorer
Browse MongoDB documents with table and JSON views
Data Explorer
The Data Explorer is your primary interface for browsing and managing MongoDB documents. Switch between table and JSON views, apply filters, and inspect individual documents.
Overview
The Data Explorer provides two viewing modes:
- Table View - Tabular display with columns for each field
- JSON View - Raw JSON document display
Table View
Table view displays documents as rows with automatic column detection.
Features
- Virtual Scrolling - Handle large result sets efficiently
- Column Resizing - Adjust column widths by dragging
- Column Sorting - Click column headers to sort
- Field Selection - Show/hide columns via column picker
Column Types
The Data Explorer automatically detects and formats field types:
- Strings - Plain text display
- Numbers - Right-aligned with number formatting
- Dates - Formatted as readable timestamps
- ObjectIds - Monospace display with copy button
- Arrays - Shows array length, expandable
- Objects - Shows "Object", expandable to view nested fields
JSON View
JSON view displays raw MongoDB documents with syntax highlighting.
Features
- Syntax Highlighting - Color-coded JSON
- Collapsible Objects - Expand/collapse nested structures
- Copy Button - Copy individual documents
- Line Numbers - Easy reference
Use JSON view when working with complex nested documents or when you need to copy raw JSON.
Document Actions
Each document supports these actions:
- View Details - Open document in modal
- Edit - Modify document fields (requires write permission)
- Delete - Remove document (requires delete permission)
- Copy ID - Copy ObjectId to clipboard
Keyboard Shortcuts
↑/↓- Navigate between documentsEnter- Open document detailsCmd/Ctrl + K- Focus searchT- Toggle table/JSON view
Performance Tips
For collections with many documents:
- Use filters to narrow results before browsing
- Select specific fields instead of loading all columns
- Enable pagination with reasonable page sizes (25-100)
- Use indexes on frequently filtered fields
Loading all documents from a large collection can be slow. Always apply filters for better performance.