Looking For a Blazemeter Alternative?Loadium2022-02-16T10:23:44+03:00
Blazemeter vs. Loadium Performance Testing Platform
To keep pace with customer expectations and the sudden changes of the market you serve, you need to run performance test. Loadium scales your load tests and deploys load generators such as JMeter or Gatlingto the cloud at the press of a button, so that you can focus on results.
We chose Loadium over Blazemeter because of its strong support with better report screens. Taking support in emergency is great value. Thank you.
Computer Services Enterprise
The high price of Blazemeter and the high price of its support fees caused my organization to look for another open source alternative for performance testing and continuous testing.
Software Development & Consultancy Enterprise
We have been using the Loadium product actively for 3 years and on a daily basis with my whole team. We can easily track our performance reports. In terms of support, we can get a very fast response, most of the time, our problem is solved by the Loadium team within a maximum of 1 hour.
I want to find the right testing type for my product
Performance Testing is a type of software testing which guarantees that the application is performing well under the defined user load. Main purpose of performance testing is not to find bugs but to eliminate performance bottlenecks. It evaluates the quality attributes of the system.
This testing is used to determine your application’s ability to handle increasing amounts of load and processing. It involves measuring attributes including response time, throughput, hits and requests per second, transaction processing speed, CPU usage, Network usage and more.
Endurance (Soak) testing executes by applying varying loads to the application under test for an extended period of time to validate that the performance requirements related to production loads and durations of those loads are met.
Also known as flood testing, this testing is used to evaluate the application’s ability to handle large volumes of data. The impact on response time and the behavior of the application are analyzed. This testing can be used to identify bottlenecks and to determine the capacity of the system.
This testing evaluates the ability of the application to handle sudden volume increases. It is done by suddenly increasing the load generated by a very large number of users. This testing is critical for applications that experience large increases in number of users.