macOS
Homebrewverified · 100%
brew install memtier_benchmarklocal Homebrew formula metadata
brew / rank 5771
Install memtier_benchmark with Homebrew, Nix
Redis and Memcache traffic generation and benchmarking tool. Version 2.5.1 via Homebrew; verified 2026-07-16. Also installable with nix: nix profile install nixpkgs#memtier-benchmark.
install
Additional install commands
Linux
Nixverified · 92%
nix profile install nixpkgs#memtier-benchmarknixpkgs package indexes · pkgs/by-name/me/memtier-benchmark/package.nix · source: api.github.com
overview
Package summary
Redis and Memcache traffic generation and benchmarking tool
Project links
Commands and aliases
- memtier_benchmark
history
Project history and usage
memtier_benchmark began as a Redis Labs/Garantia Data benchmarking tool for generating heavy Redis and Memcached traffic. Yiftach Shoolman announced it to the Redis DB mailing list in July 2013 as a complementary tool to redis-benchmark, noting that redis-benchmark covered only simple GET and SET workloads. Redis's own launch article described the motivation as regression testing and database-performance optimization, with the source released under GPLv2.
Project history
The tool's niche is realistic key-value-store load generation from a single command-line executable. It supports both Redis and Memcached protocols, multithreaded and multi-client execution, configurable read/write ratios, sequential or random key patterns, expiry ranges, Redis Cluster, and TLS. In practice, engineers use it for capacity tests, latency and throughput comparisons, performance regression checks, and synthetic workload generation before changing cache/database deployments.
How it is used
Its packaging footprint reflects that role: it is distributed as Redis-provided APT/YUM packages, a Homebrew formula, and a Nix package. The Phoronix Test Suite added a memtier_benchmark profile in 2019, making it part of reusable public benchmark workflows as well as Redis-oriented operations work.
Sources
security posture
Risk level: green
narrow executable package without higher-risk signals.
Risk classifier
green risk · low confidence · appliance
Why
- narrow executable package without higher-risk signals
Signals
- metadata:no-higher-risk-signals
Install behavior
- No Homebrew bottle metadata was recorded.
Recommended review
Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.
executables
Installed executables
| Command | Kind | Exposure | Note |
|---|---|---|---|
memtier_benchmark | executable | indexed executable | Discovered from the local executable index. |
freshness
Version and freshness
These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.
page generated2026-08-03
manager version2.5.1
manager updated2026-07-16
local dataunknown
upstreamnot available
latest detectednot detected
- okNo freshness warnings were generated.
install metadata
Package metadata
| Package key | brew:memtier_benchmark |
|---|---|
| Version | 2.5.1 |
| Package manager | Homebrew |
| Homepage | https://github.com/redis/memtier_benchmark |
| Repository | https://github.com/redis/memtier_benchmark |
| Last updated | 2026-07-16T12:17:17Z |
| Pulse | updated |
| Bottle | not recorded |
| Service | none declared |
source database matches
Other package-manager records
Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.
Nix95%
memtier-benchmark
nix profile install nixpkgs#memtier-benchmark- normalized package name match
- Matched by: Memtier Benchmark
source trail
Generated from repository data
This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.
Combined YAML source
View the package source record on GitHub.
Used sources
- Geiger risk classifier
- cross-ecosystem install command graph
- curated package history
- external package-manager database matches
- pkg.so package database
- pkgdb category and tag curation