Overview

Grafana

Stacks18.4K

Followers14.6K

Votes415

GitHub Stars70.7K

Forks13.1K

Pixi

Stacks88

Followers86

Votes8

Grafana vs Pixi: What are the differences?

The comparison between Grafana and Pixi reveals key differences that can help users make informed decisions about which platform to use.

Data Sources: Grafana supports a wide range of data sources, including databases, APIs, and cloud services, making it a versatile tool for visualizing data from different sources. On the other hand, Pixi focuses primarily on visualizing data from IoT devices, providing specific features tailored for this use case.
Customization: Grafana offers extensive customization options for dashboards and visualizations, allowing users to create highly personalized and interactive data displays. In contrast, Pixi provides predefined templates and themes that are optimized for IoT data visualization, limiting the level of customization available to users.
Community Support: Grafana has a large and active community of users and developers, resulting in a wealth of resources, plugins, and integrations that enhance the platform's functionality. Pixi, being a more niche tool, has a smaller community and may have fewer third-party resources available for users seeking additional features or support.
Alerting Capabilities: Grafana has robust alerting capabilities that allow users to set up notifications based on predefined conditions in their data, ensuring they stay informed about critical changes. Pixi, while capable of basic alerts, may not offer the same level of flexibility and customization in its alerting features.
Scalability: Grafana is designed to scale easily to accommodate large volumes of data and high numbers of users, making it suitable for enterprise-level deployment. Pixi may have limitations in terms of scalability, particularly when dealing with a vast amount of IoT data streams or multiple users accessing the platform simultaneously.

In Summary, while Grafana excels in its versatility, customization options, and community support, Pixi stands out for its focus on IoT data visualization and may be a better choice for users specifically working in this domain.

Advice on Grafana, Pixi

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

Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceon

Grafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

Must be able to get custom data from AS400,
Able to display automation test results,
System monitoring / Nginx API,
Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

868k views868k

Comments

Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

794k views794k

Comments

Detailed Comparison

Grafana	Pixi
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.	Super fast HTML 5 2D rendering engine that uses webGL with canvas fallback
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	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 70.7K	GitHub Stars -
GitHub Forks 13.1K	GitHub Forks -
Stacks 18.4K	Stacks 88
Followers 14.6K	Followers 86
Votes 415	Votes 8
Pros & Cons
Pros 89 Beautiful 68 Graphs are interactive 57 Free 56 Easy 34 Nicer than the Graphite web interface Cons 1 No interactive query builder	Pros 8 Fast Performance
Integrations
Graphite InfluxDB	HTML5 React WebGL

What are some alternatives to Grafana, Pixi?

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.

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).