elastic/rally

Health v2 · maintenance only

Adoption not part of the score

2029 stars · 346 forks observed · 2026-08-28

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

Rally is a macrobenchmarking framework for Elasticsearch, developed in Python by Elastic. It automates cluster setup and teardown, benchmark data and track management, running benchmarks, recording and comparing results, and attaching telemetry devices to find performance problems.

Use cases

• benchmark elasticsearch cluster performance
• measure indexing and query throughput across elasticsearch versions
• set up and tear down elasticsearch clusters for load tests
• compare performance results between elasticsearch releases
• find elasticsearch performance problems with telemetry devices
• run reproducible search benchmarks with standard tracks like geonames

When to choose

• you need reproducible, standardized macrobenchmarks of Elasticsearch clusters
• you want to compare Elasticsearch performance across versions or configurations
• you need automated cluster provisioning and teardown for benchmark runs
• you want to profile Elasticsearch internals with telemetry devices

When to avoid

• you benchmark something other than Elasticsearch
• your benchmarking host runs Windows (Rally itself requires Unix)
• you need microbenchmarks of individual functions rather than whole-cluster benchmarks

Facets

cli-tool · maturity active

benchmarking testing developer-tools cli databases developer-tools performance cli python elasticsearch macrobenchmark load-testing performance-analysis search linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="elastic/rally")