Compare Observium vs. Statseeker

Observium is a low maintenance auto-discovery network monitoring platform that supports a wide variety of device types, platforms, and operating systems, including Cisco, Windows and Linux. Observium focuses its efforts on providing a simple, intuitive, yet powerful interface that provides information about the health and status your network. Observium was created and maintained by a team comprised of network engineers and system administrators. Observium Community is free and available to all. It receives updates and new features twice a year. For a small annual fee, Observium Professional gives priority access to daily updates as well as new features. Observium increases visibility of your network infrastructure by automatically collecting information about protocols and services that you may not otherwise be able to monitor.

Statseeker is a powerful network performance monitor solution. It's fast, scalable, and cost-effective. Statseeker requires only one server or virtual machine to be up and running in minutes. It can also discover your entire network in under an hour without any significant impact on your bandwidth availability. It can monitor networks of all sizes, polling upto one million interfaces every sixty second, and collecting network data like SNMP, ping, NetFlow (sFlow, and J-Flow), sylog and trap messages, SDN configuration, and health metrics. Statseeker performance data are never averaged or rolled up. This eliminates the guesswork when it comes to identifying over- and underestimated infrastructure, root cause analysis, capacity planning, and other tasks. Statseeker's complete data retention means the in-built analytic engine can accurately detect anomalies in performance and forecast network behaviour months in advance. This allows network admins to plan and perform cost-effective, preventative maintenance, instead of fire-fighting problems as they occur. Statseeker's dashboards and out-of-the box reports allow you to troubleshoot and fix problems in your network before users are aware.