benchmark

Benchmark FrogDB performance against Redis, Valkey, and Dragonfly databases.

7|Updated Jan 7, 2026
One-click install
npx skills add https://github.com/frogdb/frogdb --skill benchmark-frogdb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: benchmark
Source: https://github.com/frogdb/frogdb/tree/main/.claude/skills/benchmark
Command: npx skills add https://github.com/frogdb/frogdb --skill benchmark-frogdb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires memtier_benchmark, docker, redis, valkey, dragonfly, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive set of tools to benchmark and compare the performance of FrogDB against other databases, helping users understand the strengths and weaknesses of each.

Core Features & Use Cases

  • Standalone Load Testing: Execute load tests using memtier_benchmark to measure throughput and latency.
  • Comparative Benchmarks: Run comparative benchmarks against Redis, Valkey, and Dragonfly databases.
  • Cluster-Mode Scaling: Evaluate the scaling capabilities of FrogDB in cluster mode.
  • Micro-Benchmarks: Use Criterion for detailed micro-benchmarks of internal operations.
  • Durability Mode Comparison: Compare the impact of different durability modes on performance.
  • Result Interpretation: Understand the results with architectural context and key metrics.
  • Use Case: When you need to evaluate the performance of FrogDB in various scenarios and compare it with other databases.

Quick Start

Use the benchmark skill to run a comparative benchmark against Redis with a mixed workload.

Frequently Asked Questions about benchmark

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I benchmark FrogDB performance against Redis and Valkey?

You can benchmark FrogDB against Redis and Valkey by running comparative benchmarks with memtier_benchmark, which measures throughput and latency across mixed workloads to highlight performance differences.

What is the best way to test database cluster-mode scaling capabilities?

Testing database cluster-mode scaling is best done by evaluating FrogDB's scaling capabilities in cluster mode, allowing you to measure how throughput and latency respond under distributed load configurations.

Do I need Docker and memtier_benchmark to run database comparison tests?

Yes, you need Docker and memtier_benchmark to run these database comparison tests, as they provide the required containerized environments and load generation tools to execute the benchmarks accurately.

Can I compare the impact of different durability modes on database performance?

Yes, you can compare the impact of different durability modes on database performance by executing durability mode comparisons, which measure how varying persistence settings affect overall throughput and latency.

How does micro-benchmarking internal database operations work?

Micro-benchmarking internal database operations works by using Criterion to run detailed performance tests on specific internal functions, providing granular metrics on operational efficiency beyond standard load testing.

Why should I use memtier_benchmark for standalone load testing instead of other tools?

You should use memtier_benchmark for standalone load testing because it accurately measures throughput and latency under configurable workloads, specifically supporting comparative benchmarking against Redis, Valkey, and Dragonfly.