
Raygun
Kafka
Sentry.io
Prometheus
Datadog
Snare
rsyslog
Unified Network Monitoring Tool, Application Monitoring, Log Management, Asset Management, Service desk, Help desk & IT Service Management. Get free trial.

VisualVM
JConsole
YourKit Java Profiler
Netbeans
AppTimer
GalataJ
YourKit .NET Profiler
The Eclipse Foundation - home to a global community, the Eclipse IDE, Jakarta EE and over 350 open source projects, including runtimes, tools and frameworks.

Which is more popular?
Based on our record, Eclipse Memory Analyzer seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | mindarraysystems.com | eclipse.dev |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using MindArray IPM and Eclipse Memory Analyzer. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking MindArray IPM since Mar 2021.
Firstly, if the heap runs out of memory, we need to use a heap dump analyzer such as HeapHero or Eclipse MAT to examine the heap and discover the cause of the problem. Only then can we figure out how to solve the real problem and prevent... - Source: dev.to / 10 months ago
Https://eclipse.dev/mat/ can handle very large graphs of objects using a similar approach. It also does implement some kind of paging, such that you do not have to load the complete graph into memory when running some of the graph... - Source: Hacker News / over 2 years ago
When comparing MindArray IPM and Eclipse Memory Analyzer, you can also consider the following products.

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VisualVM is a visual tool integrating several commandline JDK tools and lightweight profiling...
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Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.
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Provides information about performance and resource consumption for Java applications.
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From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
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Java profiler
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