JProfiler vs Parca
JProfiler
ej-technologies.com
Parca
parca.devSide by side
| Figure | JProfiler | Parca |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 1 |
| Spec score · Profiling Software | 8.3 (#3) | 8.2 (#6) |
| Data handling | JProfiler runs on the user's infrastructure and does not send profiling data to ej-technologies or third parties, though cloud AI agents may send retrieved profiling data to their provider. | Parca says it receives profiling statistics and function-name metadata, not users’ binaries or source code. |
| Support | The support request page says to allow up to 24 hours for a response and directs how-to questions to the Stack Overflow community. | Polar Signals offers paid support for users of Parca’s open-source project. |
Plans
JProfiler
- JProfiler$549, paid once
- JProfiler with 1 yr Support and Upgrades$768, paid once
- JProfiler Floating License$2,199, paid once
- JProfiler Floating License with 1 yr Support and Upgrades$3,078, paid once
In their own words
JProfiler
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.
Parca
Parca is a self-hosted profiling system that collects and stores CPU, memory, I/O, and other profiles for queries over time. Its eBPF-based Parca Agent captures user-space and kernel-space stack traces, while the system also accepts valid pprof-formatted profiles pushed through gRPC or pulled from targets over HTTP. Users can query by labels, compare dimensions such as processes or code versions, and view profiles in the web interface with Icicle Graphs. A Grafana plugin can display profiles stored in Parca. The agent supports automatic profiling for languages including C, C++, Go, Rust, .NET, Deno, Erlang, Java, Julia, Node.js, Wasmtime, PHP, Ruby, and Python. Installation options include binaries, containers, Kubernetes, and Snaps. Parca is open source under the Apache 2 License and is free. The agent requires Linux kernel 4.18 or newer and privileged access to load eBPF programs. Parca says it receives profiling statistics and function-name metadata, not binaries or source code.