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  1. Stackups
  2. DevOps
  3. Error Tracking
  4. Exception Monitoring
  5. Graylog vs Kibana vs Sentry

Graylog vs Kibana vs Sentry

OverviewDecisionsComparisonAlternatives

Overview

Sentry
Sentry
Stacks15.1K
Followers9.4K
Votes864
GitHub Stars42.4K
Forks4.5K
Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K
Graylog
Graylog
Stacks595
Followers711
Votes70
GitHub Stars7.9K
Forks1.1K

Graylog vs Kibana vs Sentry: What are the differences?

Introduction:

In the world of log management and analytics, Graylog, Kibana, and Sentry are three popular tools used by developers and system administrators. While all three tools serve the purpose of monitoring and analyzing logs, there are key differences that set them apart.

1. Key Difference: Integration and Data Sources Graylog is known for its wide range of integrations and supports various data sources such as syslog, SNMP, GELF, and more. It provides flexible options for collecting and processing logs from multiple systems and applications.

On the other hand, Kibana primarily works with Elasticsearch as its data source. It is tightly integrated with Elasticsearch, and users can leverage its powerful querying and filtering capabilities. Kibana also offers integration with Beats for log collection.

Sentry, in contrast, is mainly focused on tracking and monitoring errors in software applications. It collects data directly from the application code rather than relying on external log sources.

2. Key Difference: User Interface and Visualization Graylog provides a user-friendly interface with various visualization options to analyze logs effectively. It offers dashboards, custom widgets, and search capabilities to explore log data efficiently. Users can visualize data using charts, graphs, and heatmaps.

Kibana, being part of the Elastic Stack, provides a robust and feature-rich interface for log analytics. It offers powerful visualization tools like graphs, maps, and time series visualizations. Kibana allows users to build complex dashboards and create customized visualizations.

Sentry focuses more on error tracking rather than log analysis, so its user interface is primarily designed for error monitoring and debugging, with features like issue tracking, error stack traces, and error frequency analysis.

3. Key Difference: Alerting and Notification Graylog offers built-in alerting functionality where users can define conditions based on log events and receive notifications via various channels such as email, Slack, PagerDuty, etc. It provides flexibility in creating complex alert rules and actions.

Kibana, on the other hand, does not have native alerting capabilities. Users need to leverage other tools or Elastic's X-Pack plugin to enable alerting functionality in their Kibana and Elasticsearch stack.

Sentry provides alerting and notification features specifically for error tracking and monitoring. Users can define rules to trigger alerts based on error patterns and receive notifications via email, chat platforms, or SMS.

4. Key Difference: Logs vs. Errors Graylog and Kibana primarily focus on log management and analysis, covering a broader scope of system logs, application logs, and other log sources. They provide a centralized platform for log aggregation, search, and analysis.

However, Sentry is specifically designed for error tracking and monitoring in software applications. It excels in identifying and resolving errors, collecting stack traces, and providing real-time error notifications.

5. Key Difference: Scalability Graylog is known for its distributed architecture, allowing horizontal scalability by adding more nodes to handle larger log volumes. It can efficiently handle high log inflow and storage requirements.

Kibana, being part of the Elastic Stack, also offers scalability options. It can scale horizontally by adding more Elasticsearch nodes to handle larger log volumes and concurrent users.

Sentry, being more focused on error tracking and monitoring, may not have the same scalability as Graylog or Kibana in terms of handling large log volumes. However, it provides adequate scalability for error monitoring in medium to large-scale applications.

6. Key Difference: Community and Ecosystem Graylog and Kibana have a strong community and extensive ecosystem support. They have active developer communities, plugins/extensions, and integrations with a wide range of tools and platforms. This allows users to customize and extend the functionality of these tools according to their specific needs.

Sentry also has a growing community and ecosystem support. It provides integrations with popular programming languages and frameworks, making it easier to integrate error tracking into different applications.

In Summary, Graylog stands out with its wide range of integrations and flexible log collection capabilities, while Kibana offers powerful visualization tools and seamless integration with Elasticsearch. Sentry focuses on error tracking and monitoring, providing targeted features for resolving software errors.

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Advice on Sentry, Kibana, Graylog

matteo1989it
matteo1989it

Jun 26, 2019

ReviewonKibanaKibanaGrafanaGrafanaElasticsearchElasticsearch

I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

757k views757k
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
abrahamfathman
abrahamfathman

Jun 26, 2019

ReviewonKibanaKibanaSplunkSplunkGrafanaGrafana

I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

2.29M views2.29M
Comments

Detailed Comparison

Sentry
Sentry
Kibana
Kibana
Graylog
Graylog

Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

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.

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.

Real-Time Updates: For the first time, developers can fix code-level issues anywhere in the stack well before users even encounter an error.;Complete Context: Spend more time where it matters, rather than investing in low-impact issues.;Integrate Everywhere: Drop-in integration for every major platform, framework, and language -- JavaScript, Python, PHP, Ruby, Node, Java, .NET, mobile.;Root Cause: See the events that lead to errors so you always debug the right thing the first time.;Private & Secure: Sentry is SOC-2 compliant with GDPR, PCI DSS, HIPAA, and Privacy Shield by default.;Open Source: Sentry is 100% open source and available on GitHub.
Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards
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Statistics
GitHub Stars
42.4K
GitHub Stars
20.8K
GitHub Stars
7.9K
GitHub Forks
4.5K
GitHub Forks
8.5K
GitHub Forks
1.1K
Stacks
15.1K
Stacks
20.6K
Stacks
595
Followers
9.4K
Followers
16.4K
Followers
711
Votes
864
Votes
262
Votes
70
Pros & Cons
Pros
  • 238
    Consolidates similar errors and makes resolution easy
  • 121
    Email Notifications
  • 108
    Open source
  • 84
    Slack integration
  • 71
    Github integration
Cons
  • 12
    Confusing UI
  • 4
    Bundle size
Pros
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
Cons
  • 7
    Unintuituve
  • 4
    Works on top of elastic only
  • 4
    Elasticsearch is huge
  • 3
    Hardweight UI
Pros
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
Cons
  • 1
    Does not handle frozen indices at all
Integrations
Sprint.ly
Sprint.ly
C#
C#
PagerDuty
PagerDuty
Twilio
Twilio
Auth0
Auth0
Golang
Golang
Datadog
Datadog
Backbone.js
Backbone.js
Django
Django
Swift
Swift
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats
GitHub
GitHub

What are some alternatives to Sentry, Kibana, Graylog?

Rollbar

Rollbar

Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate ra

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.

Bugsnag

Bugsnag

Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.

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.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

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.

Opbeat

Opbeat

Opbeat is application monitoring for developers, and gives you performance metrics, error logging, release tracking and workflow in one smart product.

Airbrake

Airbrake

Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.

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