The BlazeMeter Continuous Testing Platform is a unified, end-to-end, next-generation software test automation platform built for both Agile and COE teams, from Perforce. BlazeMeter includes complete continuous testing capabilities deeply integrated into a single, intuitive workflow.
$199
per month
SpecFlow
Score 10.0 out of 10
N/A
SpecFlow is an open source BDD for .NET. that aims to bridge the communication gap between domain experts and developers by binding readable behavior specifications to the underlying implementation.
N/A
Pricing
BlazeMeter
SpecFlow
Editions & Modules
Basic
$149.00
per month
Pro
$649.00
per month
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Offerings
Pricing Offerings
BlazeMeter
SpecFlow
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Community Pulse
BlazeMeter
SpecFlow
Features
BlazeMeter
SpecFlow
Automation Testing
Comparison of Automation Testing features of Product A and Product B
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.
It is best suited for implementing the automated test cases in a human readable form so it's easy for non-technical members of the team and stakeholders to understand the test cases, features and the functionalities of the application. Automation of Integration tests and End to End tests are good use case. It is less appropriate or situations where the focus is only on the writing and maintenance of unit tests.
Versatility to be used in combination with different kinds of automated testing like automated performance testing, API testing, UI testing etc. I use JavaScript, Selenium, C#, email testing libraries, database testing libraries in combination with BDD with SpecFlow. I am able to use all these with SpecFlow to make my automation framework to be able to automate any kind of automated testing.
It provides different widely used runner options like NUnit, XUnit etc. Before I started to work on establishing proper test automation in my workplace, the previous automation framework (non-BDD based) as well as unit tests used NUnit runner. The transition to using BDD was smooth because we could use the same runner and there were no compatibility issues.
The auto-complete feature is good. I use it with Visual Studio as well as Rider and I don't have to recall the entire Gherkin statements. I just type a few words and the entire Gherkin statement implemented in framework is auto-suggested by SpecFlow. It saves time and context switching.
Blazemeter reporting is very basic and shallow. There is no way to drill down or correlate. I can get better reports by using JMeter for free.
Blazemeter is very costly. Testing with volumes of more than 1K cu is expensive, and can be done for much cheaper if a company/team is willing to invest a bit of time to figure out how to use cloud instances and jmeter slaves, and to write a basic script to collect resulting xml output.
SpecFlow does not accepts optional input variables in the methods defined during Gherkin statement implementation. Cucumber supports optional input variables in the methods defined during Gherkin statement implementation.
The tests identified while using SpecFlow with NUnit removes all white spaces in the scenario names. It makes the tests less readable. If the white spaces are not auto-removed, it would be much better for readability as well as their actual identification in the repository.
In comparison with Blazemeter the closes competitor is JMeter but it has disadvantages like it is not a tool that can be use as a collaborative tool and works locally in a computer, Blazemeter is in the web so different people can access and run tests or collaborate do add, edit or delete the existent scripts.
SpecFlow is .Net based which supports C#. Behave is Python based. Cucumber is Java based. Ghost Inspector is no-code based but provides very limited testing features. We wanted to implement BDD so we rued out using Ghost Inspector. Most of the developers in my team are C# experts so it was decided for everyone's comfort to go for SpecFlow rather than Behave or Cucumber. It's import to have technical experts in the language of the automation framework because there are many situations where the solutions to the test automation needs are not straightforward and implementing those requires expertise in the related programming language.
Everyone stays on the same page regarding the behavior of existing functionalities whether it be technical or non-technical individuals. So there is less need for multiple people to get involved which saves time and thus money.
Reusing the same code through the implemented Gherkin statement saves test automation time and thus reduces cost.
We combine SpecFlow with other opensource testing technologies to make our automation framework more versatile which further saves costs for us.