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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. RRDtool vs StatsD

RRDtool vs StatsD

OverviewComparisonAlternatives

Overview

StatsD
StatsD
Stacks373
Followers293
Votes31
RRDtool
RRDtool
Stacks14
Followers45
Votes6
GitHub Stars1.1K
Forks274

RRDtool vs StatsD: What are the differences?

Developers describe RRDtool as "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. On the other hand, StatsD is detailed as "Simple daemon for easy stats aggregation". StatsD is a front-end proxy for the Graphite/Carbon metrics server, originally written by Etsy's Erik Kastner. StatsD is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

RRDtool and StatsD can be primarily classified as "Monitoring" tools.

"Do one thing and do it well" is the top reason why over 2 developers like RRDtool, while over 6 developers mention "Single responsibility" as the leading cause for choosing StatsD.

RRDtool and StatsD are both open source tools. StatsD with 14.2K GitHub stars and 1.83K forks on GitHub appears to be more popular than RRDtool with 571 GitHub stars and 199 GitHub forks.

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CLI (Node.js)
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Detailed Comparison

StatsD
StatsD
RRDtool
RRDtool

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

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.

Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services
-
Statistics
GitHub Stars
-
GitHub Stars
1.1K
GitHub Forks
-
GitHub Forks
274
Stacks
373
Stacks
14
Followers
293
Followers
45
Votes
31
Votes
6
Pros & Cons
Pros
  • 9
    Open source
  • 7
    Single responsibility
  • 5
    Efficient wire format
  • 3
    Loads of integrations
  • 3
    Handles aggregation
Cons
  • 1
    No authentication; cannot be used over Internet
Pros
  • 6
    Do one thing and do it well
Integrations
Node.js
Node.js
Docker
Docker
Graphite
Graphite
No integrations available

What are some alternatives to StatsD, RRDtool?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

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.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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