Struggling to choose between Glowroot and Dynatrace? Both products offer unique advantages, making it a tough decision.
Glowroot is a Development solution with tags like java, monitoring, profiling, diagnostics, performance.
It boasts features such as Real-time monitoring and profiling of JVM applications, Captures detailed timings for transactions, methods, SQL queries, Aggregates and analyzes performance metrics, Distributed tracing support, Alerting based on performance thresholds, Web-based UI with drilldown capabilities and pros including Open source and free, Lightweight and low overhead, Easy to install and configure, Provides detailed performance insights, Can be used in production environments.
On the other hand, Dynatrace is a Ai Tools & Services product tagged with observability, monitoring, performance, cloud.
Its standout features include AI-powered observability, Automatic and intelligent observability, Real user monitoring, Infrastructure monitoring, Application performance monitoring, Digital experience monitoring, Log monitoring and analytics, Network monitoring, Code-level diagnostics, and it shines with pros like Powerful AIOps capabilities, Flexible licensing options, Intuitive UI with actionable insights, Robust alerting and anomaly detection, Seamless view across entire stack, Easy to deploy and integrate.
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.
Glowroot is an open source Java Application Performance Monitoring (APM) tool. It is used to monitor, profile and diagnose performance issues in Java applications in real-time. Glowroot is lightweight, easy to use, and provides detailed monitoring data to quickly find and fix performance bottlenecks.
Dynatrace is an AI-powered observability platform for dynamic multi-cloud environments. It provides automatic and intelligent observability to optimize cloud ecosystem performance, provide answers via explainable AI, and accelerate cloud migration and adoption.