Apache JMeter vs. CA Application Test vs. OpenText UFT One

JMeter is well suited for Java applications where the user can script the scenario once and make changes to accommodate for as many numbers of users for load test execution. The image and selection of any files or exporting files scenario is handled well.

It is less appropriate to test Ajax applications where it is required to script click per use.

Incentivized

IF you are looking for api testing solution along with service virtualization, then look no further than this tool. This tool also forces you to move your testing lifecycle to much earlier phases of development which helps overall SDLC.

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UFT is well suited if the price is not an issue, and if the requirement is about testing different technologies. If the application is based on Legacy platforms like Siebel or Mainframe, UFT fares quite well. For low cost web-based projects, there are other cheap and open source tools available. If it is about API testing or Mobile Testing, it is better to use other tools like TOSCA.

Incentivized

• Easy of use - in generate load like HTTP requests, and processing/analyzing the responses. No coding is necessary at the basic level, just need to understand load testing and the infrastructure being tested.
• Automatic management of things like cookies to help with session state support - so you don't specifically have to worry about it or handle it
• Lots of testing/configuration options to suit your needs in making the right load generation (sampling requests), and analyzing the results, including any pre and post processing of the results first. Things like the Beanshell/BSF pre/post processors, response assertion, regular expression extractor, XPath extractor, CSV data set config
• There is a JMeter cloud service called BlazeMeter that I think would be useful for those that need to scale up high load without provisioning their own systems. I've not personally tried it though, but I recently attended a meetup presentation that highlighted nice useful features that BlazeMeter provides. One should evaluate the service if they are considering JMeter and need to expand beyond existing hardware resources.

• It immensely helps to change your entire testing lifecycle approach and to implement Shift Left approach with the extensive emphasis on testing the api's.
• This is a great tool to implement Service virtualization for your and/or third-party web services. This will ensure we have 100% environment availability and consistency for automation and performance test environments.
• This tool also helps you with test data setup and management which is a very crucial piece of test automation.
• It also helps us to implement performance testing for apis using the Blazemeter.

Incentivized

• The simple front end will allow novice users to easily grasp the basics of automation and give them confidence to try things for themselves.
• UFT can scale up and run across multiple machines from a single controller, such as ALM, enabling hundreds of tests to be executed overnight.
• There is an active support community out there, both official HPE based and independent users. This means if you do encounter a problem there is always someone out there to help you.
• The later versions have many add-ins to plug in to other tools within the QA world.
• Expert users are able to utilise the many native functions and also build their own to get the most out of the tool and impress people as they walk past and see the magic happening on the screen.
• UFT also has LeanFT bundled with it, allowing automated testing at the api level - if you can convince the developers to let you in there.

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• Jmeter requires many tweaks with respect to its configuration file and thread properties. users need to edit theses files themselves. There could be some interface where we can edit this fields.
• Jmeter cannot handle more threads and hangs up when we increase the number of threads. This causes lot of inconvenience. In these situations, user can be notified that such change would be lead to slow performance so that user can do as required. The same appears when we try to view huge files on graph listener.
• Jmeter should optimize the read and write access to output csv since it acts as overhead to the I/O performance. This affects our test results for the application which we are testing.

• This tool comes with a license cost and not free. Many open source tools offer free api testing solution and so making some functionality of this tool as open source would be good
• Load testing piece is not integrated with in the tool and rather uses Blaze meter which is free.
• Some integration with UI and api testing will make this tool even more attractive

Incentivized

• Its licensing cost is very high making it a very expensive tool. due to this many organisations are exploring options of license free tools like Selenium for automation. Though learning curve is large in case of Selenium but it is very cost effective & you an get lot of support online for Selenium.
• Though the scripting time is less since its easy to create automation scripts, the execution time is relatively higher as it takes the lot of CPU & RAM.
• Though UFT is quite stable but during long execution cycles we do get frequent browser crashing issues.
• In terms of costing TestComplete is also one option which is not free but comes with modular pricing. You can buy what you need, when you need.

Incentivized

Price, Wiki and user sharing. Having access to the information provided by the developers and other open source providers is key for me. The ability to share information and get answers directly is very important to success in software testing. And the price of this product currently is amazing. Too many companies charge way too much money for products that are far behind in their value and pertinence

The purpose related to performance and load testing through Apache JMeter works fine but the usability of the tool should be improved quite a lot. If someone starts with the Jmeter fresh without prior experience, they need to put more efforts in understanding the tool. The UI is not that great which is the main reason not to give high rating on usability.

Incentivized

The ui is clean but there are lots of setting snd options which one must be fully aware so it will aid him/her during scripting

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I have been using JMeter for the last year. By using this tool, you can make sure the system will work under varied loads. It helps us to simulate real time scenarios by creating required virtual users and make sure the application will work under load. Perform load, stress, and stability testing using JMeter.

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HPE are quick to reply and it's possible to get through to the actual developers shuold the case warrent it. Their online system allows updates and tracking of all incedents raised.

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I have used LoadRunner and Silkperformer, and so far Jmeter turns out be the easiest to use of all these. While each of them have their own ROI, Jmeter can be picked by anyone in hours and start testing within a day. While with other tools, we need to get license, install them (takes a while) and setup tests and firewalls, etc.

It definitely is among the top leaders in API testing and virtualization along with the Parasoft SOA tool. Many open source API testing libraries such as Rest Assured, Karate and even Postman and SOAP UI are free which is a little bit against CA.

Incentivized

1. It works solid for automate SAP and S/4 Hana applications and Fiori too. 2. Teams are well versed about UFT One 3. Able to handle maintained execution results 4. Publish Automation execution results in well manner to the leadership team/stake holders 5. More help content available 6. Able to understand non technical resources about normal view.

Incentivized

• Good ROI on improving the performance of the application.
• Finding issues in the performance.
• Benchmark the performance results.
• CON: Need skillset to create and maintain the scripts in Java.
• Scripts are reusable and it is executed by any user.
• Need Client and Server setup to execute the scripts.

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• This tool gave a very positive ROI in our group. Especially with service virtualization where we minimized the downtime in our test environments significantly.
• Also, service virtualization helps to minimize the costs of hitting third party services often in lower environments.

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• Reduces the total workload of keeping the team to test older (regression) functionality. QA testers can concentrate on ad-hoc and exploratory testing, saving time and effort across the entire project.
• Has built a better infrastructure for the client applications on which we can rely on for stability and providing regression results for any new features being developed.
• Led the applications a step closer to implementing agile practices and DevOps across the entire organization. Thus, providing a better turnaround time of new features to the customers and less maintenance headaches for the BAU team to address.

Incentivized