
Zabbix
Datadog
Nagios
Grafana
Prometheus
NewRelic
Paessler PRTG
Monitor your servers, containers, and applications, in high-resolution and in real-time.

Zabbix
Datadog
Dynatrace
ManageEngine RecoveryManager Plus
Heroku Enterprise
Lastpass
SECDO
Microsoft System Center provides solutions to simplify the deployment, configuration, management, and monitoring of the infrastructure.

Which is more popular?
Based on our record, Netdata seems to be more popular. It has been mentioned 6 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | netdata.cloud | microsoft.com |
| Pricing | — | |
| Platforms | — | |
| Company | 2018 | Startup from the United States |
| Listed in |
In their own words, as submitted to SaaSHub.


Netdata collects metrics per second & presents them in low-latency dashboards. It is designed to run on all physical & virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers & applications. Scales nicely from a single server...
No description of Microsoft System Center yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Install Netdata on Linux in two minutes
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Netdata and Microsoft System Center. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Netdata gives you access to sublime real-time health and performance monitoring for all your systems. The Netdata GitHub community has made its growth abundantly clear throughout its last six years of active development.
Netdata provides unparalleled real-time health monitoring and performance troubleshooting for systems and applications. Over the past six years of development, Netdata’s GitHub community has been essential to its growth.
“Pull” method : you can set Netdata to run on individual nodes and plug your dashboards directly to it. This way, you can scale your node to your needs and you are not concerned about the scaling of different nodes....
Microsoft System Center is an amazing application that offers you to have full control over your IT and simplifies your data center management with the help of its great features and tools. It provides its users with...
Recommendations tracked on public social media and blogs since March 2021.


If you've ever set up Netdata, you know that feeling — hundreds of real-time charts, per-second granularity, metrics you didn't even know your kernel exposed. It's a wonderful piece of software, genuinely one of the best open-source... - Source: dev.to / 5 months ago
Pros are instant HA and Migration. Cons are huge bandwidth hits. With your 4x1gbe you would be maxed out on replicating those 25 VMs. You wouldn't have anything for users. I have a test lab with 4 nodes, 22cpu 100gbram and 30tb... Source: almost 4 years ago
Docker-compose, not k8s. Set up a script to update the OS, pull all your containers and reboot after hours once a week or once a day. Make sure the script specifies non interactive. Set up alerting for low disk space, see... - Source: Hacker News / almost 5 years ago
Tracking Microsoft System Center since Mar 2021.
When comparing Netdata and Microsoft System Center, you can also consider the following products.

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Complete monitoring and alerting for servers, switches, applications, and services
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Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!
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Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
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RecoveryManager Plus is one such enterprise backup solution which has the ability to easily backup and restores both the domain controllers and virtual machines.
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