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  1. Stackups
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  5. Grafana vs RRDtool

Grafana vs RRDtool

OverviewDecisionsComparisonAlternatives

Overview

RRDtool
RRDtool
Stacks14
Followers45
Votes6
GitHub Stars1.1K
Forks274
Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K

Grafana vs RRDtool: What are the differences?

Key Differences between Grafana and RRDtool

  1. Data Source Options: Grafana supports a wide range of data sources including popular databases like MySQL and PostgreSQL, as well as cloud platforms like AWS and Google Cloud. On the other hand, RRDtool primarily focuses on handling time-series data and provides built-in support for data collection and storage.

  2. Visualization and Dashboards: Grafana offers a highly flexible and user-friendly interface for creating interactive dashboards and visualizations. It provides a rich set of features like drag-and-drop options, various chart types, and advanced querying capabilities. RRDtool, on the other hand, has a more traditional and static approach, offering basic graphing and data display features.

  3. Alerting and Notifications: Grafana provides advanced alerting functionality, allowing users to set up alerts based on various conditions and get notified through multiple channels like emails, Slack, and PagerDuty. RRDtool, on the other hand, lacks built-in alerting capabilities and requires additional tools or scripts to implement alerting functionalities.

  4. Community and Integrations: Grafana has a large and active community, resulting in an extensive collection of plugins and integrations with various tools and services. This allows users to extend the functionality of Grafana and integrate it with their existing workflows. RRDtool, on the other hand, has a smaller community and limited integrations available.

  5. Scaling and Performance: Grafana offers scalability options by supporting distributed architectures and clustering. It can handle large amounts of data and high traffic loads efficiently. RRDtool, on the other hand, is designed to handle smaller data sets efficiently and may face performance limitations when dealing with large-scale deployments.

  6. Data Manipulation and Analytics: Grafana provides a powerful query editor that allows users to perform complex data manipulations and aggregations in real-time. It also offers support for ad-hoc filtering, dynamic variables, and transformations. RRDtool, on the other hand, has limited data manipulation capabilities and focuses more on data storage and retrieval rather than advanced analytics.

In Summary, Grafana offers a wide range of data source options, rich visualization and dashboard capabilities, advanced alerting and notification features, a vibrant community with extensive integrations, scalability and performance options, as well as powerful data manipulation and analytics capabilities. RRDtool, on the other hand, primarily focuses on time-series data handling, basic graphing and data display features, and efficient data storage and retrieval.

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Advice on RRDtool, Grafana

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
Leonardo Henrique da
Leonardo Henrique da

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.

402k views402k
Comments
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments

Detailed Comparison

RRDtool
RRDtool
Grafana
Grafana

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.

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.

-
Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
Statistics
GitHub Stars
1.1K
GitHub Stars
70.7K
GitHub Forks
274
GitHub Forks
13.1K
Stacks
14
Stacks
18.4K
Followers
45
Followers
14.6K
Votes
6
Votes
415
Pros & Cons
Pros
  • 6
    Do one thing and do it well
Pros
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
Integrations
No integrations available
Graphite
Graphite
InfluxDB
InfluxDB

What are some alternatives to RRDtool, Grafana?

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.

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

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