Elastic Observability vs Icinga comparison

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Elastic Observability

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Executive SummaryUpdated on Oct 9, 2024

Icinga and Elastic Observability compete in the realm of monitoring and observability tools. Elastic Observability holds a superior position due to its extensive features and comprehensive solutions, which often justify its cost.

Features: Icinga is known for robust monitoring capabilities, scalability across various environments, and flexible integration options. It allows customizable alerting and supports numerous integrations. Elastic Observability stands out with advanced analytical capabilities, smooth integration with the Elastic stack, and efficient processing of large datasets. Its enhanced visualization tools provide an edge in data analysis and comprehension.

Room for Improvement: Icinga could improve by simplifying its deployment process to reduce the learning curve. Enhancing its user interface and expanding integration options would also be beneficial. Expanding community support resources could strengthen Icinga's appeal. Elastic Observability might focus on offering more budget-friendly options, refining its customer support experience, and enhancing its adaptability for smaller organizations. Expanding its integration versatility would be a beneficial enhancement.

Ease of Deployment and Customer Service: Icinga's deployment process can be challenging, requiring detailed configuration and presenting a learning curve. It offers favorable customer support to aid technically skilled teams. Elastic Observability offers a streamlined deployment with options for both cloud and on-premise setups, supported by comprehensive documentation and strong support resources, catering well to diverse organizational needs.

Pricing and ROI: Icinga presents a more cost-effective entry point, appealing to budget-conscious organizations seeking effective monitoring without large investments, promising an attractive ROI for essential monitoring tasks. While Elastic Observability may involve higher initial expenses, it offers a stronger ROI through improved monitoring and analytic capabilities, often proving worth the investment for comprehensive observability needs.

To learn more, read our detailed Elastic Observability vs. Icinga Report (Updated: June 2026).

Elastic Observability vs. Icinga

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Elastic Observability

Ranking in IT Infrastructure Monitoring

15th

Ranking in Cloud Monitoring Software

11th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (11th), Log Management (16th), Container Monitoring (6th)

Icinga

Ranking in IT Infrastructure Monitoring

48th

Ranking in Cloud Monitoring Software

34th

Average Rating

7.6

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Network Monitoring Software (37th), Server Monitoring (16th)

Mindshare comparison

As of June 2026, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 1.3%, down from 3.6% compared to the previous year. The mindshare of Icinga is 1.5%, down from 4.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
Elastic Observability	1.3%
Icinga	1.5%
Other	97.2%

IT Infrastructure Monitoring

Featured Reviews

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities

In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

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reviewer2292201

Innovation Service Manager at a tech services company with 201-500 employees

Easy to use, and it's possible to customize the product as per the needs we may have but average multi-tenancy aspect

It's supported by the community. We use Icinga, which is not part of the Open-Source platform but is wrapped into a commercial solution from another provider, a local provider in Italy. Icinga is an open-source platform, so it is supported by the community. It's quite easy to use, and it's possible to customize the product as per the needs we may have. So it's not expensive, and it's quite a general purpose. We can easily monitor any kind of infrastructure we encounter. The ability to customize scripts and build your own queries to request information from the infrastructure elements you want to monitor. This level of personalization and customization is highly appreciated. The alerting is the same as any other monitoring platform. It's not a "wow" feature that has changed our lives, but it's perfectly adequate.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It is scalable and supports multitenancy, which is beneficial for MSPs."

"The customizable dashboards in Elastic Observability allow us to group relevant data to specific aspects of our solution, giving us around 20 interlinked dashboards which provide an overview, and if one aspect shows weird behavior, we can focus on that specific aspect of our software with a dedicated dashboard."

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."

"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."

"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."

"We can view and connect different sources to the dashboard using it."

"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."

"In addition to the fact that we are more proactive in the detection of incident before they occur, we can on one click see the request path from the customer to the backend."

More Elastic Observability pros

"We monitor all, starting from UPS to international mail chains."

"Icinga does the job and is fairly stable."

"Macros and the ability to connect it to Google Maps are valuable features."

"The most valuable feature is one that not many are even aware of, as Icinga has a self-healing event handler where if the service is down, it is automatically restarted, and you can configure the handler to take action after the critical alarm without human interaction."

"People should know that it is simple and advanced."

"Icinga has multiple automation and integration features. There is an API for everything and a web UI for configurations. The APIs enable you to automate tasks in Icinga. We can also use plugins to talk to the API. The Icinga Director talks to a database in the background, and you can import settings from the CMDB to all systems in Icinga."

"Icinga2 was designed to delegate, distribute and balance tasks between several nodes."

"An affordable solution for small organizations to do basic network monitoring."

More Icinga pros

Cons

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."

"I would advise others to use a different solution than Elastic APM."

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."

"The only challenging aspect for new users is often writing the query language."

"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."

"When opening tickets, we cannot use our team mailbox."

"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."

More Elastic Observability cons

"The tool currently fails to provide notifications to users."

"Network Discovery capabilities would be extremely helpful."

"There is room for improvement in multi-tenancy. It's not perfect, not even really good. It's average, but it should be improved."

"Sometimes, it is very hard to keep an overview of what's happening."

"Scalability is problematic. If you have a stable environment it's good, but if the environment is growing, I had some problems with Icinga."

"Icinga’s automation could be improved."

"The installation and configuration are very complex."

"One of the areas that are frustrating is remote monitoring for more than one machine."

More Icinga cons

Pricing and Cost Advice

"The product is not that cheap."

"Pricing is one of those situations where the more you use it, the more you pay."

"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."

"One needs to pay for the licenses, and it is an annual subscription model right now."

"We will buy a premium license after POC."

"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."

"Elastic Observability's pricing could be better for small-scale users."

"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."

More Elastic Observability pricing and cost advice

"This is an open-source solution with paid support."

"It is cost-effective, and the return on investment can be very interesting because the price is low."

"The solution is cheap."

"The product is inexpensive compared to other DBM products."

"Even though Icinga's financial cost is low, it is an expensive product regarding the resources required to maintain and operate it."

"It's an open-source solution."

"We're using the free version of Icinga."

"The solution is free to use."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

11%

Government

Manufacturing Company

Educational Organization

14%

Comms Service Provider

11%

Financial Services Firm

11%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	8

Questions from the Community

What is your experience regarding pricing and costs for Elastic Observability?

The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...

See all answers

What needs improvement with Elastic Observability?

After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...

See all answers

What is your primary use case for Elastic Observability?

My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.

See all answers

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Product Reports

Elastic Observability

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Download Icinga product report

Also Known As

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Icinga Cloud Monitoring

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Icinga is a robust tool for monitoring IT infrastructure, known for its distributed monitoring capabilities and seamless integration with multiple platforms. It efficiently observes servers, network devices, and environments like Linux and Windows, enabling proactive issue identification and resource management.

With a focus on task delegation and clustering, Icinga offers an intuitive interface through its GUI and Icinga Director, simplifying configuration. The extensive plugin library supports diverse technologies, while the API allows automation with tools like Terraform and Ansible. Despite its strengths, users report challenges with data display in the GUI, a need for improved dashboards, and complex configuration processes. Users benefit from its SNMP alerts, email notifications, and automated incident handling, making it essential for managed service environments and enterprises.

What are the key features of Icinga?

Task Delegation: Streamlines monitoring tasks across distributed systems.
Event Handler: Enables automatic service recovery with minimal intervention.
Plugin Library: Offers extensive support for integrating diverse technologies.
API Accessibility: Facilitates automation with popular tools like Terraform.
Custom Plugins: Allows easy creation and personalization for monitoring needs.

What benefits should you consider in Icinga reviews?

Flexibility: Tailors monitoring to specific requirements with community support.
Scalability: Successfully manages growing infrastructure demands.
Proactivity: Enhances issue identification and resource allocation.
Integration: Seamlessly works with existing IT operations platforms.

Icinga is widely adopted in IT environments for monitoring servers, networks, and applications across industries such as finance, healthcare, and technology. Its ability to integrate with various operating systems and automation platforms makes it a versatile choice for industries prioritizing comprehensive surveillance and proactive management of their infrastructure.

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Puppet Labs, Audi, Spacex, Debian, Snapdeal, McGill, RIPE Network Coordination Centre

Elastic Observability vs. Icinga