JMeter, from Apache, is a load and performance testing tool.
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OpenText UFT One
Score 8.0 out of 10
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Unified Functional Testing (UFT, formerly known as HP UFT and before that QuickTest Professional or HP QTP) is a functional and performance testing tool acquired by Micro Focus from Hewlett-Packard Enterprise, now from OpenText.
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SoapUI Open Source
Score 8.4 out of 10
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SoapUI is an open source API testing tool supported by SmartBear's community, supporting functional and performance testing of APIs.
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Pricing
Apache JMeter
OpenText UFT One
SoapUI Open Source, supported by SmartBear
Editions & Modules
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Offerings
Pricing Offerings
JMeter
OpenText UFT One
SoapUI Open Source
Free Trial
No
No
No
Free/Freemium Version
Yes
No
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Apache JMeter
OpenText UFT One
SoapUI Open Source, supported by SmartBear
Considered Multiple Products
JMeter
Verified User
Technician
Chose Apache JMeter
SoapUI is a bit easier to get rolling for people without development skills but if you have people with development skills JMeter shines. JMeter also uses significantly fewer resources on the client so you can be sure your testing isn’t restricted by the client machine.
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.
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.
Good for simple requests, simple scripts, assertions, and small workflows. Also not bad with the Open Source version if savvy with code as you can do a lot with custom functionality.Free version has limited compatibility with scripts/projects created from the Pro version, but functionality-wise can probably be made up with coding. As such, the free version may not be too suitable for complex scripts or for those who are not familiar with coding as functionality/usability may be limited.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Compared to SoapUI, we have been using "light" tools like RestClient extension in Firefox, or Postman. Compared to Postman, SoapUI is more simple for WSDL / SOAP webservices, as SoapUI generate all envelop, but Postman does not. For Rest API, I think that Postman is a little above SoapUI, but not too far away.
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.