Apache JMeter vs LoadUIWeb

Struggling to choose between Apache JMeter and LoadUIWeb? 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, LoadUIWeb is a Development product tagged with load-testing, web-application-testing, open-source.

Its standout features include Record and playback functionality for creating test scenarios, Load testing capability to simulate multiple concurrent users, Assertions to validate response content and performance metrics, Extensibility through plugins and API access, Command-line interface and integration with CI/CD pipelines, Support for testing REST and SOAP web services, Customizable test reports and results analysis, and it shines with pros like Free and open source, Intuitive graphical interface, Support for major protocols and technologies, Active community support and regular updates, Easy to integrate into automated testing workflows, Can simulate high user loads to test scaling.

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

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:
Development Testing
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

LoadUIWeb

LoadUIWeb

LoadUIWeb is an open-source load and functional testing tool for web applications. It allows users to create test scenarios, assertions, and load models to test the functionality, load capacity, and performance of web apps.

Categories:
Development Testing
load-testing web-application-testing open-source

LoadUIWeb Features

  1. Record and playback functionality for creating test scenarios
  2. Load testing capability to simulate multiple concurrent users
  3. Assertions to validate response content and performance metrics
  4. Extensibility through plugins and API access
  5. Command-line interface and integration with CI/CD pipelines
  6. Support for testing REST and SOAP web services
  7. Customizable test reports and results analysis

Pricing

  • Open Source

Pros

Free and open source

Intuitive graphical interface

Support for major protocols and technologies

Active community support and regular updates

Easy to integrate into automated testing workflows

Can simulate high user loads to test scaling

Cons

Steep learning curve for some advanced features

Limited debugging capabilities compared to commercial tools

Not ideal for complex end-to-end testing scenarios

Lacks some reporting customization options

Can be resource intensive for very large tests