Amazon CodeGuru Profiler vs JProfiler

Amazon CodeGuru Profiler collects runtime performance data from live applications and recommends ways to improve performance and find CPU bottlenecks. It is designed for continuous profiling of production applications with minimal overhead. Interactive flame graphs show CPU and latency analysis, including which code paths use the most resources. Machine learning recommendations identify expensive methods and explain their cause, impact, and possible resolution.

The service can detect anomalies in application profiles and, when configured, send an Amazon SNS notification for a new anomaly. It supports Java, JVM languages such as Scala and Kotlin, and Python 3.6 or later. Java and other JVM languages can be profiled for CPU and heap summary; Python profiling covers CPU wall-clock time. Applications may run on EC2, ECS, EKS, Fargate, Lambda, or on premises. The agent can be enabled in JVM applications from the command line or application code and is also used for Lambda applications. An AWS account is required, with IAM permissions controlling access. The agent collects stack traces, not parameter names or values, variable values, or application data.

JProfiler is a desktop profiler for Java and Kotlin applications on the JVM. It helps locate performance bottlenecks, memory leaks, slow JDBC queries and costly HTTP calls. Its analysis covers CPU and memory use, heaps, threads and garbage collection, with high-level probes for JDBC, JPA, MongoDB and Kafka operations. HTTP profiling examines incoming and outgoing calls, and the product supports Spring and JEE components. Users can compare snapshots, inspect JFR recordings, and automate offline recording through triggers or an API. Documented IDE integrations include IntelliJ IDEA, Eclipse, NetBeans and VS Code. JProfiler can profile JVMs in Kubernetes and Docker and connect to remote JVMs through SSH without remote installation or agent deployment. It runs on the user's infrastructure and does not send profiling data to ej-technologies or third parties; cloud AI agents may send data they receive to their provider. A free evaluation license has restrictions. The perpetual single license costs $549 as a one-time purchase; other listed licenses include floating options and support-and-upgrade bundles.