HiBench
A comprehensive benchmark suite for evaluating speed, throughput, and resource utilization of big data frameworks like Hadoop, Spark, and streaming engines.
What is HiBench?
HiBench is a big data benchmark suite that evaluates the performance of big data frameworks like Hadoop, Spark, and streaming engines. It provides a collection of standardized workloads to measure speed, throughput, and system resource utilization, helping users compare different frameworks and optimize their deployments.
Data engineers, platform architects, and researchers who need to evaluate, compare, or tune the performance of big data processing frameworks in on-premise or cloud environments.
It offers a comprehensive, multi-framework benchmark suite with diverse real-world workloads, enabling objective performance comparisons and helping identify bottlenecks in big data infrastructure.
Overview
HiBench is a big data benchmark suite.
Use Cases
Best For
- Benchmarking Hadoop cluster performance for ETL jobs
- Comparing Spark vs. Flink for streaming data processing
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