StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Graphite vs Graylog

Graphite vs Graylog

OverviewDecisionsComparisonAlternatives

Overview

Graphite
Graphite
Stacks383
Followers419
Votes42
GitHub Stars6.0K
Forks1.3K
Graylog
Graylog
Stacks595
Followers711
Votes70
GitHub Stars7.9K
Forks1.1K

Graphite vs Graylog: What are the differences?

<Graphite and Graylog are both popular tools used for monitoring and analyzing data. However, there are key differences between the two that are important to consider.>

  1. Data Collection: Graphite primarily focuses on time-series data, allowing users to store, retrieve, and visualize data points over time. On the other hand, Graylog is designed for log management and analysis, enabling users to collect, index, and query log data from various sources.

  2. Alerting Capabilities: Graphite lacks built-in alerting functionalities, requiring users to integrate third-party tools for alerting based on metric thresholds. In contrast, Graylog offers advanced alerting features, allowing users to set up alerts based on specific log events or metrics.

  3. Data Visualization: Graphite provides basic graphing and visualization capabilities for time-series data, with a range of customizable options for displaying metrics. Graylog, on the other hand, offers intuitive dashboards and widgets for visualizing log data in real-time, providing users with a clear overview of their logs.

  4. Search and Querying: Graylog includes powerful search and querying functionalities, allowing users to easily search through log data using a query language and perform complex searches with filters. In comparison, Graphite's querying capabilities are more limited, focusing primarily on retrieving time-series data points.

  5. Scaling and Performance: Graphite is known for its scalability and performance when handling large volumes of time-series data, making it a preferred choice for organizations dealing with high-frequency metrics. Graylog, while capable of handling a significant amount of log data, may require additional resources for optimal performance in large-scale environments.

  6. Integration Ecosystem: Graphite has a rich ecosystem of plugins and integrations that extend its functionality, allowing users to customize their monitoring setup based on specific requirements. Graylog also offers a variety of integrations with popular tools and services, making it easy to connect with existing systems for comprehensive log management.

In Summary, while Graphite excels in time-series data visualization and scalability, Graylog stands out for its log management capabilities, advanced alerting features, and search functionalities. Each tool caters to different monitoring and analysis needs, so choosing between Graphite and Graylog depends on the specific requirements of the organization.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Graphite, Graylog

Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments

Detailed Comparison

Graphite
Graphite
Graylog
Graylog

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

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

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
-
Statistics
GitHub Stars
6.0K
GitHub Stars
7.9K
GitHub Forks
1.3K
GitHub Forks
1.1K
Stacks
383
Stacks
595
Followers
419
Followers
711
Votes
42
Votes
70
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
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    Flexibel query and parsing language
Cons
  • 1
    Does not handle frozen indices at all
Integrations
Sensu
Sensu
Nagios
Nagios
Logstash
Logstash
Windows Server
Windows Server
Netdata
Netdata
Riemann
Riemann
Diamond
Diamond
Telegraf
Telegraf
collectd
collectd
Ganglia
Ganglia
GitHub
GitHub

What are some alternatives to Graphite, Graylog?

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.

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

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.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

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

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana