Parasoft SOAtest and BlazeMeter compete in the software testing tools category. BlazeMeter has a slight edge with its cloud-based scalability and ease of integration, whereas SOAtest offers comprehensive testing features for diverse protocols.
Features: Parasoft SOAtest supports diverse protocols like JSON, REST, and offers multi-language scripting such as Java and JavaScript. It provides a comprehensive toolset for API and web service testing with end-to-end focus. BlazeMeter excels in cloud-based performance testing, seamless integration with JMeter scripts, and robust load generation capability, enabling large-scale simulations.
Room for Improvement: SOAtest requires enhancements in reporting and more intuitive workspace design. Integration with other management tools can be challenging, and pricing is on the higher side. BlazeMeter could benefit from a refined pricing structure and improving technical support services. Better integration with APM tools and faster performance test executions are needed.
Ease of Deployment and Customer Service: Parasoft SOAtest, often deployed on-premises, provides stable performance but requires significant setup. Customer service varies regionally. BlazeMeter, being cloud-based, simplifies scalability and deployment within cloud infrastructure, though detailed technical support can be improved upon.
Pricing and ROI: Parasoft SOAtest is considered costly due to its licensing model but offers extensive functionality leading to considerable ROI. BlazeMeter, with its flexible payment options, appears more affordable initially but can incur higher costs for advanced features, offering advantageous cloud-based testing capabilities.
We found Parasoft SOAtest to be quick in building up test patterns, allowing us to create complex tests efficiently.
The customer service is not available 24/7, which affects its rating.
BlazeMeter has the capability to simulate a higher number of users compared to JMeter standalone.
BlazeMeter is quite scalable, and I rate its scalability as nine out of ten.
I would rate the stability of BlazeMeter as eight out of ten, indicating that it is a stable and reliable solution.
The extra CSV random dataset plugin could be integrated with a simple checkbox in the existing CSV dataset plugin to read files randomly.
The licensing cost is also a concern since BlazeMeter is not free like JMeter, which limits its use.
It did not support enough of the protocols or cryptography formats we needed, which led us to create our own solutions.
BlazeMeter requires licensing, which means it is not free like JMeter, adding to the setup cost considerations.
Parasoft SOAtest is expensive, but it was acquired because the company was dissatisfied with Quick Test Pro.
BlazeMeter integrates with JMeter via multiple plugins, which streamlines performance testing, test monitoring, and report sharing.
BlazeMeter offers a higher limit on load simulation compared to standalone JMeter.
Parasoft SOAtest is very good at ensuring tests don't pass or fail until they genuinely pass or fail.
BlazeMeter ensures delivery of high-performance software by enabling DevOps teams to quickly and easily run open-source-based performance tests against any mobile app, website or API at massive scale to validate performance at every stage of software delivery.
The rapidly growing BlazeMeter community has more than 100,000 developers and includes prominent global brands such as Adobe, Atlassian, Gap, NBC Universal, Pfizer and Walmart as customers. Founded in 2011, the company is headquartered in Palo Alto, Calif., with its research and development in Tel Aviv.
Parasoft SOAtest delivers fully integrated API and web service testing capabilities that automate end-to-end functional API testing. Streamline automated testing with advanced codeless test creation for applications with multiple interfaces (REST & SOAP APIs, microservices, databases, and more).
SOAtest reduces the risk of security breaches and performance outages by transforming functional testing artifacts into security and load equivalents. Such reuse, along with continuous monitoring of APIs for change, allows faster and more efficient testing.
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