Comparing the Efficiency of a Spring Boot Project to a Go Project
In this article, compare the efficiency of a Spring Boot project as a GraalVM-native image and on the JDK to a Go project.
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Join For FreeAngularAndSpringWithMaps is a Sprint Boot project that shows company properties on a Bing map and can be run on the JDK or as a GraalVM native image. ReactAndGo is a Golang project that shows the cheapest gas stations in your post code area and is compiled in a binary. Both languages are garbage collected, and the AngularAndSpringWithMaps project uses the G1 collector. The complexity of both projects can be compared. Both serve as a frontend, provide rest data endpoints for the frontend, and implement services for the logic with repositories for the database access. How to build the GraalVM native image for the AngularAndSpringWithMaps project is explained in this article.
What To Compare
On the performance side, Golang and Java on the JVM or as a native image are fast and efficient enough for the vast majority of use cases. Further performance fine-tuning needs good profiling and specific improvements, and often, the improvements are related to the database.
The two interesting aspects are:
- Memory requirements
- Startup time(can include warmup)
The memory requirements are important because the available memory limit on the Kubernetes node or deployment server is mostly reached earlier than the CPU limit. If you use less memory, you can deploy more Docker images or Spring Boot applications on the resource.
The startup time is important if you have periods with little load and periods with high load for your application. The shorter the startup time is the more aggressive you can scale the amount of deployed applications/images up or down.
Memory Requirements
- 420 MB AngularAndSpringWithMaps JVM 21
- 280 MB AngularAndSpringWithMaps GraalVM native image
- 128-260 MB ReactAndGo binary
The GraalVM native image uses significantly less memory than the JVM jar. That makes the native image more resource-efficient. The native image binary is 240 MB in size, which means 40 MB of working memory.
The ReactAndGo binary is 29 MB in size and uses 128-260 MB of memory depending on the size of the updates it has to process. That means if the use case would need only 40 MB of working memory like the GraalVM native image, 70 MB would be enough to run it. That makes the Go binary much more resource-efficient.
Startup Time
- 4300ms AngularAndSpringWithMaps JVM 21
- 220ms AngularAndSpringWithMaps GraalVM native image
- 100ms ReactAndGo binary
The GraalVM native image startup time is impressive and enables the scale-to-zero configurations that start the application on demand and scale down to zero without load. The JVM start time requires one running instance as a minimum.
The ReactAndGo binary startup time is the fastest and enables scale to zero.
Conclusion
The GraalVM native image and the Go binary are the most efficient in this comparison. Due to their lower memory requirements can, the CPU resources be used more efficiently. The fast startup times enable scale to zero configurations that can save money in on-demand environments. The winner is the Go project.
The result is that if efficient use of hardware resources is the most important to you, Go is the best. If your developers are most familiar with Java then the use of GraalVM native image can improve the efficient use of hardware resources. Creating GraalVM native images needs more effort and developer time. Some of the effort can be automated, and with some of the effort, that would be hard. Then the question becomes: Is the extra developer time worth the saved hardware resources?
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