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

Airbrake vs Kibana

OverviewDecisionsComparisonAlternatives

Overview

Airbrake
Airbrake
Stacks299
Followers298
Votes128
Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K

Airbrake vs Kibana: What are the differences?

Airbrake and Kibana are two popular tools used in software development for monitoring and analyzing application performance. Below are some key differences between Airbrake and Kibana.

  1. Purpose: Airbrake is primarily an error monitoring and tracking tool that captures errors and exceptions in real-time from web applications, while Kibana is a data visualization tool used to analyze and visualize log data and metrics collected from various sources, including applications, servers, and systems.

  2. Integration: Airbrake integrates seamlessly with multiple programming languages and frameworks, providing detailed error reports and notifications to developers and teams. In contrast, Kibana is often used in conjunction with Elasticsearch to analyze and explore data stored in Elasticsearch indices, making it more focused on log analysis and data visualization.

  3. Alerting Capabilities: Airbrake offers robust alerting capabilities, allowing users to set up notifications for specific error patterns or thresholds, ensuring that critical issues are addressed promptly. Kibana, on the other hand, does not have built-in alerting features and relies on third-party plugins or integrations for creating alerts based on data analysis.

  4. User Interface: Airbrake provides a user-friendly interface with detailed error insights, including stack traces, affected users, and frequency of occurrences, making it easier for developers to identify and troubleshoot issues quickly. In comparison, Kibana offers a customizable dashboard interface with powerful visualization options, enabling users to create interactive charts, graphs, and maps to explore and analyze data effectively.

  5. Scalability: Airbrake is well-suited for small to medium-sized teams and applications due to its focus on error monitoring and tracking, whereas Kibana is designed to handle large volumes of data and is scalable for enterprise-level deployments, providing advanced data analytics and visualization capabilities for extensive log analysis and monitoring.

In Summary, Airbrake is tailored for error monitoring and tracking, with strong alerting capabilities and a user-friendly interface, while Kibana is more focused on data visualization and analysis, suitable for large-scale deployments with advanced customization options.

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Advice on Airbrake, Kibana

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

Airbrake
Airbrake
Kibana
Kibana

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.

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.

Dupe Detection- Developers will only receive an email once when an error occurs — rather than getting buried under an error email avalanche.;Auto Resolve- An action on each application deployment — that way developers can focus on the problems that exist today, not the ones from last month.;Github Aware- Airbrake is github-aware, and can link code in your Airbrake error stack traces to the corresponding locations on github.;RSS- Airbrake offers an RSS feed of error activity, so errors can be monitored using feed readers.;Lighthouse Integration- Airbrake integrates with the Lighthouse bug/ticket tracking application, for easy discussion of errors and integration with your existing workflow.;SSL Secure- Airbrake can be accessed over SSL-protected secure connections to keep your data completely private. The application itself is updated regularly with the latest security patches.;Multiple Projects- Easily track and navigate errors from multiple projects for up to 64 projects.;Fully supported platforms/languages- Ruby on Rails, iOS
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
Statistics
GitHub Stars
-
GitHub Stars
20.8K
GitHub Forks
-
GitHub Forks
8.5K
Stacks
299
Stacks
20.6K
Followers
298
Followers
16.4K
Votes
128
Votes
262
Pros & Cons
Pros
  • 28
    Reliable
  • 25
    Consolidates similar errors
  • 22
    Easy setup
  • 15
    Slack Integration
  • 10
    Github Integration
Cons
  • 0
    Rejects error report if non-latin characters exists
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
Integrations
GitHub
GitHub
ExpressJS
ExpressJS
Chef
Chef
Slack
Slack
PHP
PHP
JavaScript
JavaScript
Django
Django
Zapier
Zapier
Heroku
Heroku
Python
Python
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats

What are some alternatives to Airbrake, Kibana?

Sentry

Sentry

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

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.

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.

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.

Opbeat

Opbeat

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

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.

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