Intel-bigdata/HiBench resource

Health v2 · maintenance only

Flags: archived no_license

Adoption not part of the score

1484 stars · 766 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

HiBench is a big data benchmark suite with 29 workloads across micro, machine learning, SQL, graph, websearch, and streaming categories for Hadoop, Spark, and streaming frameworks. It measures speed, throughput, and system resource utilization of big data frameworks.

Use cases

• benchmark hadoop cluster performance
• compare spark and flink throughput
• measure hdfs io throughput
• test streaming framework performance
• evaluate big data framework resource utilization
• run terasort and wordcount benchmarks

When to choose

• you need a standard suite of big data workloads for Hadoop or Spark
• you want to compare throughput and resource usage across big data frameworks
• you need reproducible streaming benchmarks for Flink, Storm, or Spark Streaming

When to avoid

• you need maintained or supported software - the project is archived by Intel with known security issues
• you need benchmarks for modern frameworks beyond Hadoop/Spark-era systems
• you require patches or new releases - none are accepted

Facets

dataset · maturity abandoned

benchmarking load-testing data-generation big-data performance developer-tools jvm cloud hadoop spark flink storm streaming-benchmark archived-project data-engineering linux docker

Member repositories

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