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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Cacti vs Graphite vs Prometheus

Cacti vs Graphite vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Graphite
Graphite
Stacks383
Followers420
Votes42
GitHub Stars6.0K
Forks1.3K
Cacti
Cacti
Stacks89
Followers202
Votes10
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Cacti vs Graphite vs Prometheus: What are the differences?

Introduction

In the world of monitoring tools, Cacti, Graphite, and Prometheus are popular choices for visualizing and analyzing time series data. Each tool has unique features and capabilities that cater to different use cases and preferences.

  1. Data Storage and Retention: Cacti relies on the RRDtool for data storage, which has fixed size Round-Robin Database files. Graphite stores data in whisper files, allowing more flexibility in retention periods and granularity. Prometheus uses a time-series database format with flexible retention periods and efficient data compression.

  2. Data Collection Method: Cacti primarily collects data through SNMP queries and scripts, making it ideal for network monitoring. Graphite uses Carbon daemons to receive data via custom protocols like StatsD and Graphite's plaintext protocol. Prometheus employs a pull-based model where agents scrape metrics from instrumented targets using HTTP.

  3. Query Language and Visualization: Cacti offers basic graphing capabilities and relies on plugins for advanced features. Graphite provides a powerful query language called Graphite Render API for creating complex graphs and dashboards. Prometheus comes with PromQL, a flexible query language, and Grafana integration for rich visualizations.

  4. Alerting and Monitoring: Cacti lacks built-in alerting features, requiring third-party integrations for alert notifications. Graphite offers basic alerting through tools like Grafana, but more advanced alerting capabilities can be achieved using third-party tools. Prometheus has native support for alerts with configurable alerting rules and notification mechanisms.

  5. Scalability and High Availability: Cacti can be challenging to scale horizontally due to its architecture, often requiring manual intervention for distributed setups. Graphite supports clustering for scalability but lacks built-in high availability features. Prometheus is designed for scalability and high availability, using a decentralized architecture with support for Federation and remote storage.

  6. Community and Ecosystem: Cacti has a large user base primarily focused on network monitoring, with a variety of plugins available for additional functionality. Graphite enjoys popularity in the DevOps community, with integrations for metrics from various sources and tools. Prometheus has a vibrant community contributing to its ecosystem, with a wide range of exporters and integrations available for different use cases.

In Summary, the key differences between Cacti, Graphite, and Prometheus lie in their data storage methods, data collection approaches, query languages, alerting capabilities, scalability, and community ecosystems. Each tool caters to specific monitoring needs and preferences, making them suitable for a variety of use cases in IT operations and DevOps environments.

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Advice on Graphite, Cacti, Prometheus

Leonardo
Leonardo

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

403k views403k
Comments
Matt
Matt

Senior Software Engineering Manager at PayIt

May 3, 2021

DecidedonGrafanaGrafanaPrometheusPrometheusKubernetesKubernetes

Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

1.1M views1.1M
Comments
Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments

Detailed Comparison

Graphite
Graphite
Cacti
Cacti
Prometheus
Prometheus

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

Cacti is a complete network graphing solution designed to harness the power of RRDTool's data storage and graphing functionality. Cacti provides a fast poller, advanced graph templating, multiple data acquisition methods, and user management features out of the box.

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.

carbon - a Twisted daemon that listens for time-series data;whisper - a simple database library for storing time-series data (similar in design to RRD);graphite webapp - A Django webapp that renders graphs on-demand using Cairo
Unlimited number of graph items can be defined for each graph optionally utilizing CDEFs or data sources from within cacti.;Automatic grouping of GPRINT graph items to AREA, STACK, and LINE[1-3] to allow for quick re-sequencing of graph items.;Auto-Padding support to make sure graph legend text lines up.;Graph data can be manipulated using the CDEF math functions built into RRDTool. These CDEF functions can be defined in cacti and can be used globally on each graph.;Data sources can be created that utilize RRDTool's "create" and "update" functions. Each data source can be used to gather local or remote data and placed on a graph.
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
6.0K
GitHub Stars
-
GitHub Stars
61.1K
GitHub Forks
1.3K
GitHub Forks
-
GitHub Forks
9.9K
Stacks
383
Stacks
89
Stacks
4.8K
Followers
420
Followers
202
Followers
3.8K
Votes
42
Votes
10
Votes
239
Pros & Cons
Pros
  • 16
    Render any graph
  • 9
    Great functions to apply on timeseries
  • 8
    Well supported integrations
  • 6
    Includes event tracking
  • 3
    Rolling aggregation makes storage managable
Pros
  • 3
    Rrdtool based
  • 3
    Free
  • 2
    Fast poller
  • 1
    Graphs from language independent scripts
  • 1
    Graphs from snmp
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Needs monitoring to access metrics endpoints
  • 6
    Bad UI
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
Integrations
Sensu
Sensu
Nagios
Nagios
Logstash
Logstash
Windows Server
Windows Server
Netdata
Netdata
Riemann
Riemann
Diamond
Diamond
Telegraf
Telegraf
collectd
collectd
Ganglia
Ganglia
RRDtool
RRDtool
Grafana
Grafana

What are some alternatives to Graphite, Cacti, Prometheus?

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.

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.

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.

StatsD

StatsD

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

Telegraf

Telegraf

It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.

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