Install
Foundation
The core workflow is live inside VS Code and tuned for fast local exploration.
- Streaming grid
- Schema browser
- Smart autocomplete
- Parameters + charts
v0.1.0-preview
Query Databases
Without Leaving Your Flow
DBeagle brings SQL exploration directly into VS Code — your editor, your workflow, zero context switching. Connect to your databases and pair it with AI tools for instant insights.
query.sql
-- Query your production database safely
SELECT customer_id, email, created_at
FROM customers
WHERE status = 'active'
AND created_at > NOW() - INTERVAL '30 days'
ORDER BY created_at DESC
LIMIT 100; Results 15,432 rows
c_id email created_at
001 sarah.j@acme.c... 2026-04-08
002 mike.chen@tech... 2026-04-07
003 priya.dev@data... 2026-04-06
... ... ...
Scroll to explore
Features SQL exploration that
SQL exploration that
stays in your workflow
No separate app to switch to, no context lost. DBeagle lives where you already work — query, explore, and pair with AI tools without breaking your flow.
Read-Only Mode
Enable read-only mode to block mutating SQL (INSERT, UPDATE, DELETE) before it reaches your database. Safe exploration, guaranteed.
Multi-Driver Support
One extension, five databases. Seamlessly switch between Trino, PostgreSQL, MySQL, SQL Server, and Vertica.
Streamed Results
Browse millions of rows with instant search, filter, sort, and export to CSV or JSON without leaving VS Code.
Chart Views
Transform query results into bar, line, pie, or scatter charts instantly. No data export required.
Rust-Powered
Built in Rust for snappy performance even with large result sets. Query faster, explore longer.
Parameterized Queries
Define reusable SQL placeholders with $name syntax for faster, safer, and more maintainable queries.
Built with Rust
Why Rust?
Because milliseconds matter.
Most database tools are built on languages that add overhead. DBeagle is built in Rust — the same language powering Firefox, Dropbox, and Discord's performance. That means sub-millisecond query execution, instant result streaming, and zero UI freezes even when you're dealing with millions of rows.
<1ms Query latency
0 UI freezes
M+ Rows streamed
Supported Databases
Connect to your data
One extension, five powerful databases. DBeagle handles each with optimized drivers and native performance.
Trino 
PostgreSQL 
MySQL 
SQL Server 
Vertica More databases coming soon
Quick Start
Up and running in seconds
Install, connect, query. It's that simple. No complex setup, no configuration files.
// Install from VS Code Marketplace
ext install dbeagle.dbeagle
// Or search "DBeagle" in VS Code extensions// Open Command Palette (Cmd/Ctrl + Shift + P)
DBeagle: New Connection
// Select your database driver
Trino • PostgreSQL • MySQL • SQL Server • Vertica
// Enter connection details
Host: trino.acme.corp
Port: 443
Catalog: warehouse// Write your SQL in any .sql file
SELECT customer_id,
COUNT(*) as order_count,
SUM(total) as lifetime_value
FROM orders
WHERE created_at > NOW()() - INTERVAL '90 days'
GROUP BY customer_id
ORDER BY lifetime_value DESC
LIMIT 100;
// Execute with Cmd/Ctrl + Enter// Results appear in the DBeagle panel
// - Browse with paging, search & filter
// - Sort by any column
// - Export to CSV or JSON
// - Visualize as charts
// Switch between Grid and Chart view
DBeagle: Toggle Chart View Why DBeagle Stop context-switching.
Stop context-switching.
Stay in your workflow.
Most database tools pull you out of VS Code. DBeagle keeps you in it — where your code lives, where your AI tools live, where your workflow actually happens.
| Feature |  DBeagle | Other VS Code Extensions |
|---|---|---|
| Read-only mode | ✓ | ✗ |
| Built-in charting | ✓ | ✗ |
| Rust-powered performance | ✓ | ✗ |
| Streamed results (millions of rows) | ✓ | ◐ |
| Parameterized queries | ✓ | ◐ |
| Query outline | ✓ | ✗ |
| Scratches | ✓ | ✗ |
Ready to experience SQL exploration reimagined?
Install DBeagle Free Roadmap
Built for what's next
A clearer path from fast local querying to agent-native database workflows.
MCP Launch
DBeagle becomes an agent-ready context layer with tools that understand your database.
- MCP server
- Schema context
- Saved connections
- Tool execution
Agentic Tooling
Higher-level workflows help explain queries, search metadata, and coordinate multi-step work.
- Query explain
- Metadata search
- AI formatting
- Shared sessions