WebLOAD vs Apache JMeter

Struggling to choose between WebLOAD and Apache JMeter? Both products offer unique advantages, making it a tough decision.

WebLOAD is a Network & Admin solution with tags like load-testing, web-application-testing, scalability-testing.

It boasts features such as Record and replay scripts to simulate user traffic, Generate load to stress test web apps, Identify performance bottlenecks, Integrate with CI/CD pipelines, Support various protocols like HTTP, HTTPS, SOAP, REST, etc, Detailed analytics and reporting, Scripting using Python and JavaScript, Distributed load testing from multiple geographic regions, Emulate different browsers and devices and pros including Intuitive interface and easy to use, Powerful scripting capabilities, Detailed analytics and insightful reports, Scalable to simulate thousands of concurrent users, Integrates well with CI/CD workflows, Supports different protocols and technologies.

On the other hand, Apache JMeter is a Development product tagged with performance-testing, load-testing, web-application-testing, open-source.

Its standout features include 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 it shines with pros like 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.

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.

WebLOAD

WebLOAD

WebLOAD is a load testing tool used to test web application performance and scalability. It simulates hundreds or thousands of concurrent users to determine if web apps can handle expected traffic.

Categories:
load-testing web-application-testing scalability-testing

WebLOAD Features

  1. Record and replay scripts to simulate user traffic
  2. Generate load to stress test web apps
  3. Identify performance bottlenecks
  4. Integrate with CI/CD pipelines
  5. Support various protocols like HTTP, HTTPS, SOAP, REST, etc
  6. Detailed analytics and reporting
  7. Scripting using Python and JavaScript
  8. Distributed load testing from multiple geographic regions
  9. Emulate different browsers and devices

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Intuitive interface and easy to use

Powerful scripting capabilities

Detailed analytics and insightful reports

Scalable to simulate thousands of concurrent users

Integrates well with CI/CD workflows

Supports different protocols and technologies

Cons

Steep learning curve for advanced scripting

Limited support for mobile app testing

Complex pricing tiers

Additional costs for add-ons and integrations


Apache JMeter

Apache JMeter

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.

Categories:
performance-testing load-testing web-application-testing open-source

Apache JMeter Features

  1. Load testing
  2. Stress testing
  3. Performance benchmarking
  4. Web - HTTP, HTTPS, SOAP, REST, etc
  5. Database via JDBC
  6. FTP
  7. LDAP
  8. Message-oriented middleware (MOM) via JMS
  9. Mail - SMTP(S), POP3(S) and IMAP(S)
  10. Native commands or shell scripts
  11. TCP
  12. Java Objects

Pricing

  • Open Source

Pros

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

Cons

Steep learning curve

Configuring tests can be complex

GUI has outdated design

Not ideal for mobile app testing

Lacks built-in developer collaboration features