Google Cloud Profiler vs JetBrains dotMemory
Google Cloud Profiler
cloud.google.comJetBrains dotMemory
jetbrains.comSide by side
| Figure | Google Cloud Profiler | JetBrains dotMemory |
|---|---|---|
| Price from | Free | $50.75/mo |
| 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 | 1 | 2 |
| Spec score · Profiling Software | 7.8 (#13) | 8.2 (#4) |
| Operating systems | The supported operating systems listed are Linux with glibc, and Linux with musl for some languages and configurations. | The standalone application and command-line tool are available for Windows, macOS, and Linux, with platform and architecture limitations documented by JetBrains. |
| Purpose | Cloud Profiler continuously gathers CPU usage and memory allocation information from production applications and attributes it to source code to help identify resource-intensive code. | dotMemory profiles .NET application memory to help investigate leaks, memory use, garbage collection, and allocation patterns. |
| Security | Cloud Profiler is a VPC Service Controls supported service. | JetBrains says its tools have SOC 2 attestation and that SOC 2 reports, penetration-testing report summaries, and security questionnaires are available through its Trust Center. |
Plans
JetBrains dotMemory
- dotUltimate — Individual$609 a year
- All Products Pack — Individual$979 a year
In their own words
Google Cloud Profiler
Google Cloud Profiler is a free sampling profiler for examining resource use in production applications. Its profiling agent gathers CPU usage and memory allocation data and attributes that information to source code. A Google Cloud console displays and analyzes the collected profiles. Supported languages are Go, Java, Node.js, and Python, with profile types varying by language. Available types include CPU time, heap, allocated heap, contention, threads, and wall time. Deployment options include Compute Engine, Google Kubernetes Engine, App Engine, Managed Service for Apache Spark, Dataflow, and some environments outside Google Cloud, depending on language. The listed operating systems are Linux with glibc and, for some configurations, Linux with musl. Google states that CPU and heap collection overhead is under 5%, commonly under 0.5% when averaged across execution time and service replicas. Profiles are retained for 30 days and can be downloaded for longer storage. Cloud Profiler supports VPC Service Controls; quotas and limits apply.
JetBrains dotMemory
JetBrains dotMemory has no write-up on Specifiction yet; its figures are above.