Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

RRDtool

14
45
+ 1
6
Sensu

205
252
+ 1
56
Add tool

RRDtool vs Sensu: What are the differences?

RRDtool: High performance data logging and graphing system for time series data. RRDtool lets you log and analyze the data you gather from all kinds of data-sources (DS). The data analysis part of RRDtool is based on the ability to quickly generate graphical representations of the data values collected over a definable time period; Sensu: Open source monitoring framework. A monitoring framework that aims to be simple, malleable, and scalable. Essentially, Sensu takes the results of “check” scripts run across many systems, and if certain conditions are met; passes their information to one or more “handlers”. Checks are used, for example, to determine if a service like Apache is up or down.

RRDtool and Sensu can be categorized as "Monitoring" tools.

"Do one thing and do it well" is the primary reason why developers consider RRDtool over the competitors, whereas "Support for almost anything" was stated as the key factor in picking Sensu.

RRDtool and Sensu are both open source tools. It seems that Sensu with 2.96K GitHub stars and 389 forks on GitHub has more adoption than RRDtool with 571 GitHub stars and 199 GitHub forks.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of RRDtool
Pros of Sensu
  • 6
    Do one thing and do it well
  • 13
    Support for almost anything
  • 11
    Easy setup
  • 9
    Message routing
  • 7
    Devs can code their own checks
  • 5
    Ease of use
  • 4
    Price
  • 3
    Nagios plugin compatibility
  • 3
    Easy configuration, scales well and performance is good
  • 1
    Written in Go

Sign up to add or upvote prosMake informed product decisions

Cons of RRDtool
Cons of Sensu
    Be the first to leave a con
    • 1
      Plugins
    • 1
      Written in Go

    Sign up to add or upvote consMake informed product decisions

    What is RRDtool?

    RRDtool lets you log and analyze the data you gather from all kinds of data-sources (DS). The data analysis part of RRDtool is based on the ability to quickly generate graphical representations of the data values collected over a definable time period.

    What is Sensu?

    Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use RRDtool?
    What companies use Sensu?
    Manage your open source components, licenses, and vulnerabilities
    Learn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with RRDtool?
    What tools integrate with Sensu?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to RRDtool and Sensu?
    InfluxDB
    InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
    Zabbix
    Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.
    Graphite
    Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
    Prometheus
    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.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    See all alternatives