Prometheus vs Riemann: What are the differences?
Developers describe Prometheus as "An open-source service monitoring system and time series database, developed by SoundCloud". Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true. On the other hand, Riemann is detailed as "A network monitoring system". Riemann aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception in your app. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU.
Prometheus can be classified as a tool in the "Monitoring Tools" category, while Riemann is grouped under "Network Monitoring".
Some of the features offered by Prometheus are:
- a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
- a flexible query language to leverage this dimensionality
- no dependency on distributed storage
On the other hand, Riemann provides the following key features:
- See your system at a glance with a Sinatra app
- Throttle or roll up multiple events into a single message
- Forward any event stream to Graphite
"Powerful easy to use monitoring" is the top reason why over 32 developers like Prometheus, while over 4 developers mention "Sophisticated stream processing DSL" as the leading cause for choosing Riemann.
Prometheus and Riemann are both open source tools. It seems that Prometheus with 25K GitHub stars and 3.55K forks on GitHub has more adoption than Riemann with 3.78K GitHub stars and 509 GitHub forks.
What is Prometheus?
What is Riemann?
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We primarily use Prometheus to gather metrics and statistics to display them in Grafana. Aside from that we poll Prometheus for our orchestration-solution "JCOverseer" to determine, which host is least occupied at the moment.
Gather metrics from systems and applications. Evaluate alerting rules. Alerts are pushed to OpsGenie and Slack.
We primarily use Prometheus to gather metrics and statistics to display them in Grafana.