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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Kibana vs Solarwinds

Kibana vs Solarwinds

OverviewDecisionsComparisonAlternatives

Overview

Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K
Solarwinds
Solarwinds
Stacks80
Followers119
Votes0

Kibana vs Solarwinds: What are the differences?

Introduction

Kibana and SolarWinds are both powerful tools used for monitoring and analyzing data. However, there are several key differences between the two:

  1. Data Sources: Kibana is primarily designed to work with the Elasticsearch data store, whereas SolarWinds can integrate with a wide range of data sources including databases, network devices, servers, and applications. This makes SolarWinds a more versatile tool for gathering and analyzing data from different sources.

  2. Visualization Capabilities: Kibana focuses heavily on data visualization and provides a wide range of interactive and customizable visualization options such as graphs, charts, and maps. On the other hand, while SolarWinds does offer some visualization features, its main strength lies in performance monitoring and network management, with a focus on providing real-time data and alerts.

  3. Alerting and Notification: SolarWinds has robust alerting and notification capabilities, allowing administrators to set up real-time alerts based on predefined thresholds or custom conditions. Kibana, on the other hand, is more focused on data exploration and visualization and lacks advanced alerting features, requiring the use of additional tools or integrations for comprehensive alerting.

  4. Scalability and Performance: Kibana is part of the Elastic Stack, which is known for its scalability and ability to handle large volumes of data. It can be easily scaled horizontally by adding more nodes to the Elasticsearch cluster. SolarWinds, on the other hand, is designed to handle smaller-scale deployments and may require additional resources or configurations for large-scale enterprise environments.

  5. User Interface: Kibana provides a modern and user-friendly web interface that is highly customizable, allowing users to create and save personalized dashboards and visualizations. SolarWinds, while functional, has a more traditional interface that may require some learning curve for new users.

  6. Cost: Kibana is an open-source tool that is free to use, while SolarWinds is a commercial product that requires a license. The cost of SolarWinds may vary depending on the specific modules and features required, making it more expensive for organizations with limited budgets.

In summary, Kibana is a versatile data visualization tool that works best with Elasticsearch and is ideal for organizations that prioritize data exploration and visualization. On the other hand, SolarWinds offers a broader range of monitoring capabilities, including real-time alerting and performance management, making it suitable for managing network infrastructure and heterogeneous environments.

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Advice on Kibana, Solarwinds

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

Kibana
Kibana
Solarwinds
Solarwinds

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.

Developed by network and systems engineers who know what it takes to manage today's dynamic IT environments, SolarWinds has a deep connection to the IT community.

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
20.8K
GitHub Stars
-
GitHub Forks
8.5K
GitHub Forks
-
Stacks
20.6K
Stacks
80
Followers
16.4K
Followers
119
Votes
262
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
No community feedback yet
Integrations
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats
No integrations available

What are some alternatives to Kibana, Solarwinds?

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.

Nagios

Nagios

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

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

Zabbix

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

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

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

Lumigo

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

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

Jaeger, a Distributed Tracing System

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