JMH Performance benchmarks for other Arrow libraries.
 | In-Memory Analytics with Apache Arrow: Accelerate data analytics for efficient processing of flat and hierarchical data structures (2024)
by Matthew Topol |
 | Latency: Reduce delay in software systems (2025)
by Enberg, Pekka |
 | Optimizing Cloud Native Java: Practical Techniques for Improving JVM Application Performance (2024)
by Evans, Benjamin J., Gough, James |
 | Java Performance: In-Depth Advice for Tuning and Programming Java 8, 11, and Beyond (2020)
by Oaks, Scott |
|
 | In-Memory Analytics with Apache Arrow: Perform fast and efficient data analytics on both flat and hierarchical structured data (2022)
by Matthew Topol |
 | Performance Engineering Best Practices: Building high performance cloud IT platforms using Java (English Edition) (2025)
by V. Jones, Nolan |
 | JVM Performance Engineering: Inside OpenJDK and the HotSpot Java Virtual Machine (Developer's Library) (2024)
by Beckwith, Monica |
 | Optimizing Java: Practical Techniques for Improving JVM Application Performance (2018)
by Evans, Benjamin J., Gough, James, Newland, Chris |
 | Troubleshooting Java Performance: Detecting Anti-Patterns with Open Source Tools (2017)
by Ostermueller, Erik |
 | Mastering Apache Arrow: Accelerating Data Processing and In-Memory Analytics (2024)
by Johnson, Robert |
 | Java Performance Companion (2016)
by Hunt, Charlie, Parhar, Poonam, Rutisson, Bengt, Beckwith, Monica |
 | High-Performance Java Persistence (2016)
by Mihalcea, Vlad |
 | Java Performance: The Definitive Guide: Getting the Most Out of Your Code (2014)
by Oaks, Scott |
