<ul><li>Modern Java applications often handle massive datasets, requiring optimized memory usage, low-latency access, and high throughput.</li><li>In this article, three leading Java libraries for performance and efficiency are compared: Apache Arrow, FastUtil, and Chronicle Queue.</li><li>Apache Arrow is ideal for ETL pipelines, ML feature engineering, and cross-language analytics, with zero-copy data sharing, SIMD optimizations, and GPU offloading support.</li><li>FastUtil is recommended for in-memory caching, high-frequency trading, and graph algorithms, with its high-speed primitive collections and minimal object overhead.</li></ul>

Java Performance Showdown: Arrow, FastUtil, Chronicle

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