Bugsnag vs Kibana

Overview

Bugsnag

Stacks1.1K

Followers620

Votes267

Kibana

Stacks20.6K

Followers16.4K

Votes262

GitHub Stars20.8K

Forks8.5K

Bugsnag vs Kibana: What are the differences?

Introduction:

Bugsnag and Kibana are two popular tools used for monitoring and analyzing application performance and errors. While both serve similar purposes, they have key differences that set them apart.

Data Integration and Sources: Bugsnag is primarily designed for monitoring and tracking errors in applications by integrating with various programming languages and frameworks, whereas Kibana is more focused on analyzing and visualizing data from sources like Elasticsearch, logs, and metrics allowing for more in-depth analysis of system behavior and performance.
Alerting Capabilities: Bugsnag provides advanced alerting and notification features to immediately notify developers of critical errors in real-time, allowing for prompt resolution of issues. On the other hand, Kibana's alerting capabilities are more focused on monitoring system metrics and log events for anomalies and patterns.
User Interface: Bugsnag offers a user-friendly interface for viewing errors, identifying trends, and tracking error occurrences across different platforms. In contrast, Kibana provides a robust visualization interface with various charts, graphs, and dashboards for exploring and understanding complex data sets.
Integration with Other Tools: Bugsnag has built-in integrations with popular collaboration tools like Slack, Jira, and GitHub, enabling seamless communication and issue tracking between development teams. Kibana, on the other hand, can be integrated with a wide range of data sources and visualization tools, making it versatile for different data analysis needs.
Cost and Licensing: Bugsnag is a commercial tool with pricing based on features and usage, making it suitable for businesses of all sizes. Kibana, on the other hand, is an open-source tool provided by Elastic, making it cost-effective for organizations looking for flexible and scalable solutions without licensing constraints.

In Summary, Bugsnag focuses on error monitoring and real-time alerts with integrated collaboration features, while Kibana is geared towards data analysis and visualization from multiple sources with an open-source licensing model.

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CLI (Node.js)

Manual

Advice on Bugsnag, Kibana

matteo1989it

Jun 26, 2019

Reviewon

Kibana

Grafana

Elasticsearch

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

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

Jun 26, 2019

Reviewon

Kibana

Splunk

Grafana

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

Bugsnag	Kibana
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.	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.
Root cause error grouping; Support for over 50 languages and platforms including JavaScript, iOS, Android, Python, Ruby and Java; Real-time alerting to chat, email or SMS; Full stacktrace per exception; Trace user actions leading to an error with Breadcrumbs; Debug quickly with user and environmental diagnostic data for every exception; Manage errors with snooze, silence and assigning issues; Issue tracker integration; SaaS or Offline; Spike detection alerting; Automatic regression detection; Include custom data such as A/B test group or customer tier; Track error rates by release and deploy; Trace customer bugs by email, name, ID or domain; SAML, Okta and One-Login support; Full API	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 1.1K	Stacks 20.6K
Followers 620	Followers 16.4K
Votes 267	Votes 262
Pros & Cons
Pros 45 Lots of 3rd party integrations 42 Really reliable 37 Includes a free plan 25 No usage or rate limits 23 Design Cons 2 Error grouping doesn't always work 2 Bad billing model	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
Lighthouse Android SDK Angular Django PagerDuty React Native Jira Bitbucket Ember.js Spring	Logstash Elasticsearch Beats

What are some alternatives to Bugsnag, Kibana?

Sentry

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

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 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.

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

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.

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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 is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Related Comparisons

Bugsnag vs Kibana: What are the differences?

Introduction:

Bugsnag and Kibana are two popular tools used for monitoring and analyzing application performance and errors. While both serve similar purposes, they have key differences that set them apart.

Data Integration and Sources: Bugsnag is primarily designed for monitoring and tracking errors in applications by integrating with various programming languages and frameworks, whereas Kibana is more focused on analyzing and visualizing data from sources like Elasticsearch, logs, and metrics allowing for more in-depth analysis of system behavior and performance.
Alerting Capabilities: Bugsnag provides advanced alerting and notification features to immediately notify developers of critical errors in real-time, allowing for prompt resolution of issues. On the other hand, Kibana's alerting capabilities are more focused on monitoring system metrics and log events for anomalies and patterns.
User Interface: Bugsnag offers a user-friendly interface for viewing errors, identifying trends, and tracking error occurrences across different platforms. In contrast, Kibana provides a robust visualization interface with various charts, graphs, and dashboards for exploring and understanding complex data sets.
Integration with Other Tools: Bugsnag has built-in integrations with popular collaboration tools like Slack, Jira, and GitHub, enabling seamless communication and issue tracking between development teams. Kibana, on the other hand, can be integrated with a wide range of data sources and visualization tools, making it versatile for different data analysis needs.
Cost and Licensing: Bugsnag is a commercial tool with pricing based on features and usage, making it suitable for businesses of all sizes. Kibana, on the other hand, is an open-source tool provided by Elastic, making it cost-effective for organizations looking for flexible and scalable solutions without licensing constraints.

Bugsnag vs Kibana

Overview