Grafana vs Jaeger

Overview

Grafana

Stacks18.4K

Followers14.6K

Votes415

GitHub Stars70.7K

Forks13.1K

Jaeger

Stacks340

Followers464

Votes25

GitHub Stars22.0K

Forks2.7K

Grafana vs Jaeger: What are the differences?

Developers describe Grafana as "Open source Graphite & InfluxDB Dashboard and Graph Editor". 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. On the other hand, Jaeger is detailed as "Distributed tracing system released as open source by Uber". Jaeger, a Distributed Tracing System.

Grafana and Jaeger belong to "Monitoring Tools" category of the tech stack.

Grafana and Jaeger are both open source tools. Grafana with 29.7K GitHub stars and 5.63K forks on GitHub appears to be more popular than Jaeger with 8.42K GitHub stars and 848 GitHub forks.

Uber Technologies, DigitalOcean, and 9GAG are some of the popular companies that use Grafana, whereas Jaeger is used by Uber Technologies, Postmates, and Wongnai. Grafana has a broader approval, being mentioned in 577 company stacks & 325 developers stacks; compared to Jaeger, which is listed in 21 company stacks and 13 developer stacks.

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Advice on Grafana, Jaeger

Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

402k views402k

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

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.

869k views869k

Comments

Detailed Comparison

Grafana	Jaeger
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.	Jaeger, a Distributed Tracing System
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 70.7K	GitHub Stars 22.0K
GitHub Forks 13.1K	GitHub Forks 2.7K
Stacks 18.4K	Stacks 340
Followers 14.6K	Followers 464
Votes 415	Votes 25
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 7 Open Source 7 Easy to install 6 Feature Rich UI 5 CNCF Project
Integrations
Graphite InfluxDB	Golang Elasticsearch Cassandra

What are some alternatives to Grafana, Jaeger?

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).

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.

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