Grafana vs Kibana vs Ruby Server Timing

Overview

Kibana

Stacks20.6K

Followers16.4K

Votes262

GitHub Stars20.8K

Forks8.5K

Grafana

Stacks18.4K

Followers14.6K

Votes415

GitHub Stars70.7K

Forks13.1K

Ruby Server Timing

Stacks0

Followers4

Votes0

GitHub Stars514

Forks6

Grafana vs Kibana vs Ruby Server Timing: What are the differences?

Introduction:

Grafana, Kibana, and Ruby Server Timing are popular tools used for monitoring and visualization in the field of system performance and log analysis. Each tool has its own unique features and strengths that cater to different user needs.

Data Sources: Grafana supports a wide range of data sources including Prometheus, Graphite, InfluxDB, Elasticsearch, and more, making it versatile for different data sources. Kibana, on the other hand, is specifically designed to work with Elasticsearch, limiting its data source compatibility compared to Grafana. Ruby Server Timing, as a Ruby gem, provides server timing information specifically for Ruby applications, offering a specialized solution for Ruby developers.
Visualization Capabilities: Grafana offers a variety of visualization options such as graphs, charts, tables, and heat maps, allowing users to create custom dashboards with interactive elements. Kibana also provides visualization tools but is more focused on analytics and log data visualization within the Elasticsearch ecosystem. Ruby Server Timing, being a performance monitoring tool, provides precise timing information for different parts of Ruby applications, aiding in performance optimization.
Alerting and Notification: Grafana includes built-in alerting features that allow users to set up alerts based on threshold conditions and receive notifications via various channels like email, Slack, and PagerDuty. Kibana lacks robust alerting capabilities, requiring users to integrate with third-party tools for alerting functionalities. Ruby Server Timing does not offer alerting and notification features as it primarily focuses on performance monitoring and timing analysis.
Community Support and Documentation: Grafana has a vibrant community and extensive documentation, making it easy for users to find resources, tutorials, and plugins to enhance their monitoring experience. Kibana also has a supportive community, but its focus on Elasticsearch may limit the resources available for general use cases. Ruby Server Timing, being a specialized tool, may have a smaller community but provides targeted support for Ruby-specific performance monitoring needs.
Compatibility and Integration: Grafana can be easily integrated with a variety of data sources, plugins, and alerting tools, offering flexibility and compatibility with different systems. Kibana's tight integration with Elasticsearch provides seamless data visualization for Elasticsearch users but may pose challenges when working with other data sources. Ruby Server Timing integrates seamlessly with Ruby applications, offering detailed insights into server performance within the Ruby environment.

In Summary, each tool - Grafana, Kibana, and Ruby Server Timing - offers unique features and strengths tailored to specific monitoring and visualization needs in different contexts.

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CLI (Node.js)

Manual

Detailed Comparison

Kibana	Grafana	Ruby Server Timing
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.	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.	Bring Ruby on Rails server-side performance metrics 📈 to Chrome's Developer Tools (and other browsers that support the Server Timing API) via the server_timing gem. Metrics are collected from the scout_apm gem. A Scout account is not required.
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	Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating	-
Statistics
GitHub Stars 20.8K	GitHub Stars 70.7K	GitHub Stars 514
GitHub Forks 8.5K	GitHub Forks 13.1K	GitHub Forks 6
Stacks 20.6K	Stacks 18.4K	Stacks 0
Followers 16.4K	Followers 14.6K	Followers 4
Votes 262	Votes 415	Votes 0
Pros & Cons
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 Elasticsearch is huge 4 Works on top of elastic only 3 Hardweight UI	Pros 89 Beautiful 68 Graphs are interactive 57 Free 56 Easy 34 Nicer than the Graphite web interface Cons 1 No interactive query builder	No community feedback yet
Integrations
Logstash Elasticsearch Beats	Graphite InfluxDB	Rails Docker Ruby Heroku Cloud Foundry

What are some alternatives to Kibana, Grafana, Ruby Server Timing?

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.

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.

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

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

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Jaeger

Jaeger, a Distributed Tracing System

Telegraf

It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.

Related Comparisons

Grafana vs Kibana vs Ruby Server Timing: What are the differences?

Introduction:

Data Sources: Grafana supports a wide range of data sources including Prometheus, Graphite, InfluxDB, Elasticsearch, and more, making it versatile for different data sources. Kibana, on the other hand, is specifically designed to work with Elasticsearch, limiting its data source compatibility compared to Grafana. Ruby Server Timing, as a Ruby gem, provides server timing information specifically for Ruby applications, offering a specialized solution for Ruby developers.
Visualization Capabilities: Grafana offers a variety of visualization options such as graphs, charts, tables, and heat maps, allowing users to create custom dashboards with interactive elements. Kibana also provides visualization tools but is more focused on analytics and log data visualization within the Elasticsearch ecosystem. Ruby Server Timing, being a performance monitoring tool, provides precise timing information for different parts of Ruby applications, aiding in performance optimization.
Alerting and Notification: Grafana includes built-in alerting features that allow users to set up alerts based on threshold conditions and receive notifications via various channels like email, Slack, and PagerDuty. Kibana lacks robust alerting capabilities, requiring users to integrate with third-party tools for alerting functionalities. Ruby Server Timing does not offer alerting and notification features as it primarily focuses on performance monitoring and timing analysis.
Community Support and Documentation: Grafana has a vibrant community and extensive documentation, making it easy for users to find resources, tutorials, and plugins to enhance their monitoring experience. Kibana also has a supportive community, but its focus on Elasticsearch may limit the resources available for general use cases. Ruby Server Timing, being a specialized tool, may have a smaller community but provides targeted support for Ruby-specific performance monitoring needs.
Compatibility and Integration: Grafana can be easily integrated with a variety of data sources, plugins, and alerting tools, offering flexibility and compatibility with different systems. Kibana's tight integration with Elasticsearch provides seamless data visualization for Elasticsearch users but may pose challenges when working with other data sources. Ruby Server Timing integrates seamlessly with Ruby applications, offering detailed insights into server performance within the Ruby environment.

In Summary, each tool - Grafana, Kibana, and Ruby Server Timing - offers unique features and strengths tailored to specific monitoring and visualization needs in different contexts.

Grafana vs Kibana vs Ruby Server Timing

Overview