Kibana vs Pixi

Overview

Kibana

Stacks20.6K

Followers16.4K

Votes262

GitHub Stars20.8K

Forks8.5K

Pixi

Stacks100

Followers86

Votes8

Kibana vs Pixi: What are the differences?

What is Kibana? Explore & Visualize Your Data. 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 Pixi? Create beautiful digital content with the fastest, most flexible 2D WebGL renderer. Super fast HTML 5 2D rendering engine that uses webGL with canvas fallback.

Kibana and Pixi belong to "Monitoring Tools" category of the tech stack.

Some of the features offered by Kibana are:

Flexible analytics and visualization platform
Real-time summary and charting of streaming data
Intuitive interface for a variety of users

On the other hand, Pixi provides the following key features:

Multi-platform Support
Interactive, visually compelling content on desktop, mobile and beyond, all reached with a single codebase to deliver transferable experiences
Tinting & Blending Modes

Kibana and Pixi are both open source tools. It seems that Pixi with 26.1K GitHub stars and 3.73K forks on GitHub has more adoption than Kibana with 12.6K GitHub stars and 4.89K GitHub forks.

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Advice on Kibana, Pixi

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

Kibana	Pixi
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.	Super fast HTML 5 2D rendering engine that uses webGL with canvas fallback
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	Multi-platform Support;Interactive, visually compelling content on desktop, mobile and beyond, all reached with a single codebase to deliver transferable experiences;Tinting & Blending Modes;Sprite Sheet Support;Asset Loader;Easy API;WebGL Filters
Statistics
GitHub Stars 20.8K	GitHub Stars -
GitHub Forks 8.5K	GitHub Forks -
Stacks 20.6K	Stacks 100
Followers 16.4K	Followers 86
Votes 262	Votes 8
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 8 Fast Performance
Integrations
Logstash Elasticsearch Beats	HTML5 React WebGL

What are some alternatives to Kibana, Pixi?

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.

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

Related Comparisons

Kibana and Pixi belong to "Monitoring Tools" category of the tech stack.

Some of the features offered by Kibana are:

Flexible analytics and visualization platform
Real-time summary and charting of streaming data
Intuitive interface for a variety of users

On the other hand, Pixi provides the following key features:

Multi-platform Support
Interactive, visually compelling content on desktop, mobile and beyond, all reached with a single codebase to deliver transferable experiences
Tinting & Blending Modes

Kibana vs Pixi