Database profiling for JDBC, JPA and NoSQL Database calls are the top reasons for performance problems in business applications. JProfiler's JDBC and JPA/Hibernate probes as well as the NoSQL probes for MongoDB, Cassandra and HBase show the reasons for slow database access and how slow statements are called by your code. From the JDBC timeline view that shows you all JDBC connections with their activities, through the hot spots view that shows you slow statements to various telemetry views and a list of single events, the database probes are an essential tool for getting insight into your database layer. Excellent support for Java Enterprise Edition Dedicated support for JEE is present in most views in JProfiler.

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For example, in the JEE aggregation level you see the call tree in terms of the JEE components in your application. In addition, the call tree is split up for each request URI. Also, JProfiler adds a semantic layer on top of the low-level profiling data, like JDBC, JPA/Hibernate, JMS and JNDI calls that are presented in the CPU profiling views. With its JEE support, JProfiler bridges the gap between a code profiler and a high-level JEE monitoring tool. Higher level profiling data JProfiler has a number of probes that show you higher level data from interesting subsystems in the JRE. In addition to the Java EE subsystems like JDBC, JPA/Hibernate, JSP/Servlets, JMS, web services and JNDI, JProfiler also presents high level information about RMI calls, files, sockets and processes.

Each of these probes has its own set of useful views that gives you general insight, highlights performance problems and allows you to trace single events. And what's more, all these views are also available for your own custom probes that you can configure on the fly within JProfiler. Stellar analysis of memory leaks Finding a memory leak can be impossible without the right tool.

JProfiler's heap walker offers you an intuitive interface to solve both simple and complex memory problems. 5 different views and lots of inspections show different aspects of the current set of objects. Each view provides you with essential insights on the selected objects and lets you switch to different objects sets.

Questions like why objects are not garbage collected are answered with a single click of the mouse. Low overhead JProfiler records data only when you need it. In fact, you can start your application with the JProfiler agent and attach the JProfiler GUI at a later time. When you do not record any data, the overhead is extremely small. That's what we call on demand profiling. Invariably, there are a lot of things you can adjust in an advanced profiler.

JProfiler shows you how your profiling settings will impact performance and offers you templates to quickly select profiling settings for common use cases.

Earlier this year, we released our annual. It was based off a performance survey which collected responses from over 1500 developers, testers, architects, and many more interestingly named job titles. The great news is we gave $0.50 for every completed survey to a great charity called (formerly Dogs for the Disabled), which provide assistance dogs to disabled children. As with all problems which have many solutions, it can often be tricky to determine which is the best solution for you. What works for other people may not work for you. When it comes to profilers, there are many on the market, and it’s often tough to determine what the differences are and which is best for your application.