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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Kibana vs Server Density

Kibana vs Server Density

OverviewDecisionsComparisonAlternatives

Overview

Server Density
Server Density
Stacks28
Followers23
Votes2
Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K

Kibana vs Server Density: What are the differences?

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; Server Density: Trusted monitoring built by experts. SaaS-based scalable infrastructure monitoring to help businesses save time and money. With advanced server and website monitoring alerts, graphing tools and integrations with all major cloud service providers.

Kibana can be classified as a tool in the "Monitoring Tools" category, while Server Density is grouped under "Performance Monitoring".

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, Server Density provides the following key features:

  • Open source agent, plugin library, full API and Nagios compatibility
  • Automatic install via script, system packages, Puppet, Chef, Ansible & Salt Stack
  • Apps for iOS, Android, Apple TV and Slackbot

Kibana is an open source tool with 12.4K GitHub stars and 4.81K GitHub forks. Here's a link to Kibana's open source repository on GitHub.

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Advice on Server Density, Kibana

matteo1989it
matteo1989it

Jun 26, 2019

ReviewonKibanaKibanaGrafanaGrafanaElasticsearchElasticsearch

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
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
abrahamfathman

Jun 26, 2019

ReviewonKibanaKibanaSplunkSplunkGrafanaGrafana

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

Server Density
Server Density
Kibana
Kibana

SaaS-based scalable infrastructure monitoring to help businesses save time and money. With advanced server and website monitoring alerts, graphing tools and integrations with all major cloud service providers.

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.

Open source agent, plugin library, full API and Nagios compatibility;Automatic install via script, system packages, Puppet, Chef, Ansible & Salt Stack;Apps for iOS, Android, Apple TV and Slackbot;Easy to use monitoring API including agentless monitoring;Website and API availability monitoring with response time alerting from the USA, UK, Europe, Australia, Russia, Japan, South Africa and more;Reduce monitoring noise, reduce false alerts and improve life on call
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
28
Stacks
20.6K
Followers
23
Followers
16.4K
Votes
2
Votes
262
Pros & Cons
Pros
  • 1
    Great support and continuous improvement
  • 1
    Great interface, accurate, simple setup
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
Integrations
MySQL
MySQL
NGINX
NGINX
Amazon EC2
Amazon EC2
Apache HTTP Server
Apache HTTP Server
Python
Python
PHP
PHP
Memcached
Memcached
Hadoop
Hadoop
Redis
Redis
Docker
Docker
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats

What are some alternatives to Server Density, Kibana?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Grafana

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

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

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.

Nagios

Nagios

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

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

Netdata

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

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Zabbix

Zabbix

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

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