
Sumo Logic
Datadog
Dynatrace
LogicMonitor
Graylog
Splunk Enterprise
Microsoft System Center
Logz.io provides log analysis software with alerts, role-based access, unlimited scalability and free ELK apps. Index, search & visualize your log data!

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

Which is more popular?
Based on our record, Logz.io should be more popular than Netdata. It has been mentioned 28 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | logz.io | netdata.cloud |
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| Platforms | — | |
| Company | Startup from the United States · 250 - 499 employees · 2014 | 2018 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Logz.io yet.
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...
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.
Introducing Logz.io
More videos
Install Netdata on Linux in two minutes
More videos
How often each product is chosen within a category, 0–100% relative to the other.


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


Logz.io uses machine-learning and predictive analytics to simplify the process of finding critical events and data generated by logs from apps, servers, and network environments. Logz.io is a SaaS platform with a...
Logz.io uses machine-learning and predictive analytics to simplify the process of finding critical events and data generated by logs from apps, servers, and network environments. Logz.io is a SaaS platform with a...
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....
Recommendations tracked on public social media and blogs since March 2021.


Integrate Logging Services: Use services like Logz.io or Datadog for real-time log monitoring. - Source: dev.to / about 1 year ago
Warning: This stack is resource-heavy. Start small or use a managed service like Logz.io if you’re just experimenting. - Source: dev.to / over 1 year ago
Logz.io — Free up to 1 GB/day, one day retention. - Source: dev.to / over 2 years ago
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
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