Compare Riemann vs. Statseeker

Riemann effectively compiles events from your servers and applications by utilizing a robust stream processing language. You can automate email notifications for every exception occurring in your application, monitor the latency distribution of your web service, and identify the top processes on any machine based on memory and CPU usage. Additionally, it allows for the aggregation of statistics from all Riak nodes in your cluster, which can then be sent to Graphite for analysis. User activity can be tracked in real-time, with Riemann offering a low-latency, transient shared state ideal for systems characterized by numerous dynamic components. The streams in Riemann are essentially functions designed to accept events, and since its configuration is expressed as a Clojure program, the syntax remains concise, consistent, and adaptable. By employing configuration-as-code, Riemann reduces boilerplate while providing the flexibility needed to handle intricate scenarios. The system can be tailored to deliver as much or as little information as you prefer, whether you need to throttle or consolidate multiple events into a single message. You can receive email alerts regarding exceptions in your code, service outages, or latency spikes, and it also supports integration with PagerDuty for timely SMS or phone notifications. Ultimately, Riemann empowers developers to maintain effective oversight and responsiveness across their applications and infrastructure.

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.