Struggling to choose between Apache JMeter and Apache Benchmark? Both products offer unique advantages, making it a tough decision.
Apache JMeter is a Development solution with tags like performance-testing, load-testing, web-application-testing, open-source.
It boasts features such as Load testing, Stress testing, Performance benchmarking, Web - HTTP, HTTPS, SOAP, REST, etc, Database via JDBC, FTP, LDAP, Message-oriented middleware (MOM) via JMS, Mail - SMTP(S), POP3(S) and IMAP(S), Native commands or shell scripts, TCP, Java Objects and pros including Open source, Cross platform (Windows, Linux, Mac), Highly extensible via plugins, Supports many protocols and technologies, CLI and GUI modes, Can be integrated with CI/CD pipelines, Good community support.
On the other hand, Apache Benchmark is a Network & Admin product tagged with benchmarking, performance-testing, load-testing.
Its standout features include Load testing tool for web servers, Measures requests per second and response times, Can simulate multiple concurrent requests, Supports HTTP/HTTPS protocols, Command-line interface, Cross-platform (Windows, Linux, etc), and it shines with pros like Free and open source, Lightweight and easy to use, Wide platform support, Can benchmark any HTTP/HTTPS server, Allows load testing from a single machine.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Apache JMeter, an open-source tool for performance and load testing of applications. Empower developers and testers to simulate various user scenarios, measure performance metrics, and identify bottlenecks. Apache JMeter supports a wide range of protocols, including HTTP, HTTPS, FTP, SOAP, and more.
Apache Benchmark (ab) is an open-source tool for benchmarking the performance of HTTP web servers. It allows users to measure response times, requests per second, and other metrics to test a server's load capacity and performance under different conditions.