Graylog vs Kibana vs Sentry

Need advice about which tool to choose?Ask the StackShare community!

Graylog

574
711
+ 1
70
Kibana

20.7K
16.4K
+ 1
262
Sentry

14.8K
9.4K
+ 1
864

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.

Advice on Graylog, Kibana, and Sentry
Needs advice
on
GrafanaGrafana
and
KibanaKibana

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."

See more
Replies (7)
Recommends
on
GrafanaGrafana
at

For our Predictive Analytics platform, we have used both Grafana and Kibana

Kibana has predictions and ML algorithms support, so if you need them, you may be better off with Kibana . The multi-variate analysis features it provide are very unique (not available in Grafana).

For everything else, definitely Grafana . Especially the number of supported data sources, and plugins clearly makes Grafana a winner (in just visualization and reporting sense). Creating your own plugin is also very easy. The top pros of Grafana (which it does better than Kibana ) are:

  • Creating and organizing visualization panels
  • Templating the panels on dashboards for repetetive tasks
  • Realtime monitoring, filtering of charts based on conditions and variables
  • Export / Import in JSON format (that allows you to version and save your dashboard as part of git)
See more
Recommends
on
KibanaKibana

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

See more
Bram Verdonck
Recommends
on
GrafanaGrafana
at

After looking for a way to monitor or at least get a better overview of our infrastructure, we found out that Grafana (which I previously only used in ELK stacks) has a plugin available to fully integrate with Amazon CloudWatch . Which makes it way better for our use-case than the offer of the different competitors (most of them are even paid). There is also a CloudFlare plugin available, the platform we use to serve our DNS requests. Although we are a big fan of https://smashing.github.io/ (previously dashing), for now we are starting with Grafana .

See more
Recommends
on
KibanaKibana

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.

See more
Recommends
on
KibanaKibana

Kibana should be sufficient in this architecture for decent analytics, if stronger metrics is needed then combine with Grafana. Datadog also offers nice overview but there's no need for it in this case unless you need more monitoring and alerting (and more technicalities).

See more
Recommends
on
GrafanaGrafana

I use Grafana because it is without a doubt the best way to visualize metrics

See more
Povilas Brilius
PHP Web Developer at GroundIn Software · | 0 upvotes · 656.9K views
Recommends
on
KibanaKibana
at

@Kibana, of course, because @Grafana looks like amateur sort of solution, crammed with query builder grouping aggregates, but in essence, as recommended by CERN - KIbana is the corporate (startup vectored) decision.

Furthermore, @Kibana comes with complexity adhering ELK stack, whereas @InfluxDB + @Grafana & co. recently have become sophisticated development conglomerate instead of advancing towards a understandable installation step by step inheritance.

See more
Decisions about Graylog, Kibana, and Sentry

I essentially inherited a Shopify theme that was originally created by an agency. After discovering a number of errors being thrown in the Dev Console just by scrolling through the website, I needed more visibility over any errors happening in the field. Having used both Sentry and TrackJS, I always got lost in the TrackJS interface, so I felt more comfortable introducing Sentry. The Sentry free tier is also very generous, although it turns out the theme threw over 15k errors in less than a week.

I highly recommend setting up error tracking from day one. Theoretically, you should never need to upgrade from the free tier if you're keeping on top of the errors...

See more
Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Graylog
Pros of Kibana
Pros of Sentry
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
  • 5
    Flexibel query and parsing language
  • 3
    Alerts and dashboards
  • 3
    User management
  • 3
    Easy query language and english parsing
  • 2
    Easy to install
  • 1
    Manage users and permissions
  • 1
    A large community
  • 1
    Free Version
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
  • 9
    Easy queries and is a good way to view logs
  • 6
    Supports Plugins
  • 4
    Dev Tools
  • 3
    More "user-friendly"
  • 3
    Can build dashboards
  • 2
    Out-of-Box Dashboards/Analytics for Metrics/Heartbeat
  • 2
    Easy to drill-down
  • 1
    Up and running
  • 238
    Consolidates similar errors and makes resolution easy
  • 121
    Email Notifications
  • 108
    Open source
  • 84
    Slack integration
  • 71
    Github integration
  • 49
    Easy
  • 44
    User-friendly interface
  • 28
    The most important tool we use in production
  • 18
    Hipchat integration
  • 17
    Heroku Integration
  • 15
    Good documentation
  • 14
    Free tier
  • 11
    Self-hosted
  • 9
    Easy setup
  • 7
    Realiable
  • 6
    Provides context, and great stack trace
  • 4
    Feedback form on error pages
  • 4
    Love it baby
  • 3
    Gitlab integration
  • 3
    Filter by custom tags
  • 3
    Super user friendly
  • 3
    Captures local variables at each frame in backtraces
  • 3
    Easy Integration
  • 1
    Performance measurements

Sign up to add or upvote prosMake informed product decisions

Cons of Graylog
Cons of Kibana
Cons of Sentry
  • 1
    Does not handle frozen indices at all
  • 7
    Unintuituve
  • 4
    Works on top of elastic only
  • 4
    Elasticsearch is huge
  • 3
    Hardweight UI
  • 12
    Confusing UI
  • 4
    Bundle size

Sign up to add or upvote consMake informed product decisions

What is Graylog?

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.

What is 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.

What is Sentry?

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

Need advice about which tool to choose?Ask the StackShare community!

What companies use Graylog?
What companies use Kibana?
What companies use Sentry?

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Graylog?
What tools integrate with Kibana?
What tools integrate with Sentry?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

Oct 11 2019 at 2:36PM

LogRocket

JavaScriptReactAngularJS+8
5
2089
May 21 2019 at 12:20AM

Elastic

ElasticsearchKibanaLogstash+4
12
5459
JavaScriptGitHubNode.js+29
14
13803
GitHubPythonReact+42
49
41192
GitHubGitPython+22
17
14424
What are some alternatives to Graylog, Kibana, and Sentry?
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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.
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.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Nagios
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
See all alternatives