QueryHawk
Get a hawk-eyed look at your database performance.
Listed in categories:
GitHubDeveloper ToolsOpen Source
Description
QueryHawk is a powerful tool designed to monitor and visualize SQL database performance, enabling developers and database administrators to optimize their queries and improve overall database health. With real-time analysis and a central dashboard, QueryHawk provides insights into execution metrics, query plans, and performance trends, all while ensuring a consistent environment through containerization with Docker.
How to use QueryHawk?
To use QueryHawk, clone the repository, configure the necessary environment variables for your PostgreSQL database and GitHub OAuth, and then deploy the application using Docker Compose. Access the application through the provided frontend URL to start monitoring your SQL performance.
Core features of QueryHawk:
1️⃣
Deep SQL Query Analysis
2️⃣
Execution Plan Visibility
3️⃣
Cache Performance Metrics
4️⃣
Query Comparison
5️⃣
Realtime Performance Monitoring
Why could be used QueryHawk?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Optimize SQL queries for better performance | ✅ | |
| # 2 | Monitor database health in real-time | ✅ | |
| # 3 | Analyze historical query performance trends | ✅ | |
Who developed QueryHawk?
QueryHawk is developed by a team of dedicated engineers including Bryan Cabanin, Meagan Lewis, Peter Limburg, and Moe Na, who are committed to providing a robust solution for SQL performance monitoring and optimization.