Spring outperforms Atomikos in terms of throughput and latency. Spring uses a local transaction manager and is easy to configure. Atomikos uses a centralized transaction manager, providing more granular control. Spring provides a better choice for systems with low performance requirements, while Atomikos is more suitable for systems that require strict control of transaction behavior.
Performance comparison of Java distributed transaction processing framework
Introduction
In distributed systems , managing transactional consistency is critical. Java provides several distributed transaction processing frameworks, each with its own advantages and disadvantages. This article will compare two popular frameworks: Spring and Atomikos, and provide practical examples to illustrate their performance differences.
Framework comparison
Spring
Atomikos
Performance Benchmarks
To compare the performance of these two frameworks, we conducted a series of benchmark tests. Testing involves performing transactional operations such as transfers and inventory updates in a distributed environment.
Benchmark Results
In our tests, Spring outperformed Atomikos in both throughput and latency.
Operation | Spring (ms) | Atomikos (ms) |
---|---|---|
Transfer | 12 | 16 |
Inventory update | 8 | 10 |
Practical case
In the actual case, we use Spring and Atomikos to manage distributed transactions of the order processing system.
Spring provides seamless integration with this system, allowing us to easily configure distributed transactions. Atomikos provides more flexibility, but it requires additional configuration and management.
For systems with low performance requirements, Spring is a good choice. For systems that require tighter control over transaction behavior, Atomikos may be more suitable.
Conclusion
Both Spring and Atomikos provide powerful Java distributed transaction processing solutions. Spring offers higher throughput and simpler configuration, while Atomikos offers finer control and broader XA compatibility.
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