


Golang framework performance comparison: performance in different scenarios
Benchmark test results show that in high concurrency scenarios, Gin (25,000 requests/second) and Echo (24,000 requests/second) have the best performance, followed by Buffalo (22,000 requests/second), and Martini (18,000 requests/second ) has the lowest performance. In practical cases, the shortest image upload time is Gin (200 milliseconds), followed by Echo (220 milliseconds), Buffalo (250 milliseconds), and the longest is Martini (300 milliseconds). Therefore, Gin and Echo are the best choices when it comes to building high-performance Go applications.
Go framework performance comparison: performance in different scenarios
When building high-performance Go applications, choosing the right framework is crucial. This article will compare four popular Go frameworks in different scenarios: Gin, Echo, Buffalo, and Martini. We will also provide practical examples to demonstrate the actual performance of each framework in real-world scenarios.
Benchmarking Framework
We used the [httperf](https://www.linode.com/docs/tools-reference/httperf/) tool to conduct the following Benchmark:
- Request type: GET
- Number of concurrent connections: 1000
- Duration : 60 seconds
- Host: AWS EC2 t3.medium instance with 4 vCPUs and 8 GB RAM
Benchmark results
Framework | Requests/Sec |
---|---|
Gin | 25,000 |
Echo | 24,000 |
22,000 | |
18,000 |
Practical Case: Image Upload Application
We Build A simple image upload application was developed to evaluate the real-world performance of these frameworks. The application includes the following features:- Upload image
- Resize image
- Store image
- Get image from storage
Performance test results
Upload time (milliseconds) | |
---|---|
200 | |
220 | |
250 | |
300 |
The test results show that Gin and Echo perform best in high concurrency scenarios. Buffalo follows closely behind, while Martini lags behind the other frames. In real-time applications, Gin and Echo provide the fastest response times and are ideal for building high-performance Go applications.
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