AutomationHQ vs. BlazeMeter

The AutomationHQ tool is well suited for small to medium size projects, but sometimes there is difficulty in the case of complex elements which are present within multiple Iframes.

It is well suited for applications that are mission-critical or applications that can receive high traffic/transactions at unscheduled time periods. Using the load testing feature of BlazeMeter, we can test and ascertain the capacity of the application without the drawbacks of the usual Apache JMeter load testing which depends heavily on the host system from where the load testing is performed.

Incentivized

• The best thing I liked about AutomationHQ is that it intelligently identify web elements and track changes in real-time applications
• It supports Data driven testing from mainly three data sources from Excel/XML/JSON
• There are myriad pre-build test steps, which we can use to built our own scripts.

• Results are easy to read
• Tests can be run easily
• Tests can ben imported easily from jMeter

Incentivized

• AutomationHQ doesn’t have test cases version control, we have to currently manually do this by copying the test script and [renaming] with the version. I wish AHQ can implement the version control so I don’t have to keep test script copies
• Complex elements like within multiple iframes have difficulty at run time. It seems we have to run it multiple time until AHQ's AI algorithm "learn" what is the right way

• BlazeMeter should not require the purchase of 2 dedicated IPs for each suite of performance tests.
• BlazeMeter should make custom packages cheaper than they are today when purchased for an enterprise and should include dedicated IPs in the package.
• BlazeMerer should have integration with Jenkins Pipeline 2.0.

Incentivized

Personally, I prefer using JMeter + Redline13, however we had some business folks that wanted to be able to run a few of their own tests. The non-technical individuals preferred to use Blazemeter because of its simple and intuitive UI.

Incentivized

• We have received gains for about 150% over a long period of time

• It helped positively by helping to identify the maximum capacity needed for high traffic periods
• Saved revenue by eliminating unwanted duplication of systems

Incentivized