AWS Device Farm is a mobile application performance testing application that provides real-time automated testing and reproduction of issues, simulating and testing issues that may occur on a variety of platforms (e.g. iPhone or Samsung mobile device, or multiple operations systems, etc).
$0.01
per instance minute
OpenText UFT One
Score 7.8 out of 10
N/A
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.
AWS Device Farm is perfect for small teams who don't have enough resources to conduct large scale testing scenarios or even large teams who would like an easier time with testing on various devices. [AWS] Device Farm makes it very easy to interact with a multitude of devices right from the browser.
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.
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.
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.
We had the enterprise support with AWS, so overall support experience was good with great engineers on the back providing answers. As you may know, overall AWS support is different and this is not different. Responses through the regular web support channel came easily, fast and accurate. We had questions/issues which were solved fast. Documentation is good as well, especially around the test automation pieces.
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.
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.
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.
