


Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability.
| Product | Mindshare (%) |
|---|---|
| Dynatrace | 5.5% |
| New Relic | 3.8% |
| Instana Dynamic APM | 1.1% |
| Other | 89.6% |



| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 50 |
| Large Enterprise | 300 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 6 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 51 |
| Large Enterprise | 78 |
Dynatrace offers AI-driven root cause analysis, full-stack observability, and more. Its seamless integration and automated alerts enhance operational efficiency for application performance monitoring across diverse environments.
Dynatrace provides users with comprehensive tools for proactive monitoring, leveraging AI-powered insights to detect bottlenecks and monitor user behavior. It enhances system dependency visualization via Smartscape and offers deep transaction insights through PurePath. Session Replay captures real user experiences, while custom dashboards emphasize essential metrics. Integration capabilities and seamless deployment are key, though users face challenges with navigation, integration, and licensing. Enhancing third-party training tools and optimizing real-time AI diagnostics is desired, with demands for better database monitoring reports and simpler UI.
What are Dynatrace's key features?Dynatrace is implemented in industries like finance for monitoring infrastructure and user experience. In manufacturing, it helps ensure system reliability. Its AI-driven approach is crucial for cloud deployments, supporting performance optimization and proactive monitoring.
Instana Dynamic APM delivers comprehensive application performance management with minimal setup, supporting multiple environments and offering detailed monitoring and analysis features.
Instana Dynamic APM ensures high-resolution data collection every second, aiding in detecting performance spikes. Its user-friendly interface and rapid implementation facilitate real-time monitoring, infrastructure transparency, and effective root cause analysis. Supporting cloud and containerized environments like AWS, Docker, and Kubernetes, it's an efficient tool for monitoring application health. While it competes with platforms like New Relic and AppDynamics, Instana requires enhancements in data presentation, reporting, and monitoring capabilities. Specific improvements are needed in code-level troubleshooting, certification processes, and integration. Expanding dashboard and alert settings would further enhance user experience.
What are the key features of Instana Dynamic APM?Instana Dynamic APM serves industries such as insurance, integrating performance management into managed services. Companies use it to monitor environments like Docker and OpenShift, ensuring application health and efficiently managing infrastructure while performing root cause analysis.
New Relic offers real-time application monitoring and insight into performance bottlenecks. Its customizable dashboards and APM integration provide efficient operational support, while server performance alerts ensure quick issue detection.
New Relic provides comprehensive monitoring of application performance, tracking bottlenecks across databases and front-end components. Users employ it for server and infrastructure monitoring, as well as analyzing key metrics such as CPU and memory usage. The solution's ability to integrate with tools like PagerDuty enhances incident management capabilities. However, users have expressed a need for improvements in query language simplicity, more detailed historical insights, and better mobile app monitoring support.
What are New Relic's most important features?In industries like e-commerce and financial services, New Relic supports application performance monitoring to enhance user experience and system reliability. Organizations leverage its insights for optimizing performance, particularly in server operations and infrastructure management. Its ability to monitor API failures through synthetic monitoring is crucial for maintaining high service levels.