Struggling to choose between Cavisson NetStorm and Loadrunner? Both products offer unique advantages, making it a tough decision.
Cavisson NetStorm is a Network & Admin solution with tags like performance-monitoring, diagnostics, visibility, realtime.
It boasts features such as Real-time network and application performance monitoring, Root cause analysis for performance issues, Automatic detection and notification of network problems, Customizable dashboards and reports, Support for multiple network protocols and technologies, Integrated with network devices and applications and pros including Comprehensive network performance monitoring, Proactive issue identification and resolution, Improved network and application availability, Customizable dashboards and reporting, Scalable and flexible solution.
On the other hand, Loadrunner is a Development product tagged with load-testing, performance-monitoring, concurrency-simulation.
Its standout features include Load and performance testing, Web services testing, Mobile app testing, API testing, Database load testing, Network bandwidth simulation, Integrates with CI/CD pipelines, and it shines with pros like Comprehensive load testing capabilities, Scalable to simulate thousands of concurrent users, Integrates with many monitoring and analytics tools, Can test a wide variety of applications and protocols, Mature product with wide adoption.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Cavisson NetStorm is an end-to-end network performance monitoring and diagnostics software. It provides real-time visibility into network and application performance to identify issues before they impact users.
Loadrunner is a performance testing and monitoring software that is used to test and analyze software applications. It allows you to simulate thousands of users concurrently accessing an application, generate realistic workloads, and identify performance issues.