Tricentis Tosca and BlazeMeter compete in the test automation and load testing category. Tricentis Tosca has an edge due to its model-based approach and extensive technology support, while BlazeMeter benefits from its cloud-based scalability and integration capabilities.
Features: Tricentis Tosca features a scriptless, model-based approach ideal for non-technical users, supports a wide range of UI and non-UI technologies including SAP and Oracle Apps, and offers robust analytical engines for reporting. BlazeMeter excels in cloud-based testing, offers seamless integration with JMeter scripts for load testing, and includes performance and API testing, emphasizing simplicity and scalability.
Room for Improvement: Tricentis Tosca needs a more intuitive user interface, improved reporting, and enhanced integration with third-party tools. BlazeMeter requires better documentation, advanced user scenario support, and needs to address performance issues during executions, along with enhancing APM tool integration.
Ease of Deployment and Customer Service: Tricentis Tosca is versatile in its deployment options with strong customer service, albeit slow responses for complex issues. BlazeMeter, operating mainly in a public cloud, simplifies the setup process and offers almost constant customer support for quick resolution.
Pricing and ROI: Tricentis Tosca's pricing is high but justified by its extensive capabilities, offering significant ROI for large enterprises while customers seek more competitive pricing models. BlazeMeter is also costly but provides flexible, consumption-based pricing, making it attractive for startups with its scalable options, aligning costs with business needs.
Tasks that typically take ten hours are reduced to two to three hours, representing a threefold productivity gain.
The customer service is not available 24/7, which affects its rating.
My experience has been positive; their response to emails or phone calls in tech support is fast, usually between eight to ten hours.
There is no way to mark the importance or criticality of incidents when creating them.
Response through chat has been replaced by chatbots, which has impacted the experience.
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.
It covers a breadth of applications and products, demonstrating excellent scalability that I have seen in reality.
I would rate the stability of BlazeMeter as eight out of ten, indicating that it is a stable and reliable solution.
The stability of Tricentis Tosca is rated ten out of ten. It is very stable.
I find stability issues when using the Vision AI feature; Tricentis Tosca is not very stable.
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.
The Vision AI implementation works very slowly, affecting the speed of our work.
Moving to a cloud-based application rather than a desktop one could improve Tosca.
If a button in an application changes, Tricentis Tosca should be smart enough to detect the change and still execute the script seamlessly.
BlazeMeter requires licensing, which means it is not free like JMeter, adding to the setup cost considerations.
The pricing for Tricentis Tosca is extremely high, and I rate it as ten in terms of expense.
A yearly license costs around 20,000 euros.
For enterprise customers, the cost is manageable because it provides solutions for multiple applications they want to automate.
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.
The modular approach reduces scripting effort by at least fifty percent, which significantly cuts down on the script development time.
The most useful features of Tricentis Tosca include API scanning, basic web application automation, and data validation capabilities.
It allows for drag-and-drop functionality and demo automation in SAP-based applications, which can be challenging with other automation tools.
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.
Tricentis Tosca is primarily leveraged for test automation across web, SAP, API, and mainframe applications, offering robust support for both regression and functional testing.
Tricentis Tosca's test automation capabilities extend to front-end and back-end testing, including processes like RPA and UI-based regression tests on Microsoft Windows. It supports Agile environments with multiple applications, enabling Salesforce automation, API endpoints, and end-to-end automation workflows. Tosca caters to diverse testing needs, integrating well with tools like Jenkins and Bamboo, although upgrades and customizations present challenges. Licensing costs and performance issues during loading and scanning are concerns, along with substantial learning curves for new users. Enhanced AI features and better reporting are on users' wishlist.
What are the key features of Tricentis Tosca?Tricentis Tosca is implemented across various industries, serving sectors like finance, healthcare, and retail with test automation solutions to ensure application quality and reliability. Agile teams in these industries benefit from its multi-application support and ability to manage complex end-to-end testing workflows. The tool's integration capabilities are particularly useful in environments that rely on CI/CD pipelines, ensuring continuous testing and quick feedback loops.
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