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: May 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

47th

Ranking in Cloud Monitoring Software

34th

Average Rating

7.6

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Network Monitoring Software (38th), 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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Claudio Kuenzler

Senior Systems Engineer at Infiniroot

A free and time-saving product that helps to monitor servers and network devices

I use the product for server and network device monitoring. A team of five people is managing the solution, and around 50 people are using the solution in the organization Pro-active monitoring and alerting helped us to decrease downtimes of services. The apply rules feature saves a lot of time.…

Read full review

Quotes from Members

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

Pros

"It has always been a stable solution."

"The most valuable feature of Elastic Observability is the text search."

"The very positive features are the cost effectiveness and the range of things that you can implement."

"I found Elk to be excellent for log analytics, security analytics, application code-level analytics, collaboration with DevOps teams, CI/CD, microservices, and Kubernetes, specifically cloud-native or cloud-specific tasks."

"The solution allows us to dig deep into data."

"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."

"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."

"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."

More Elastic Observability pros

"We have found the solution to be stable."

"I would recommend Icinga; it's an open-source solution, it's quite easy and simple to use, and checks can be run with Python code and Shell Script code."

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

"The value of Icinga is that it has hundreds of plugins, so it's really easy to monitor pretty much anything."

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

"The best thing about the solution is how it highlights errors, the issues, and what needs my attention. The solution directs me to areas that I should look for first."

"It is really easy in Icinga to create your own plugin and integrate it without any fuss. And it works just perfectly fine."

"If you have a small infrastructure or a small number of devices that you want to monitor, then I think it's a good solution."

More Icinga pros

Cons

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

"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."

"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."

"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."

"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."

"One example is the inability to monitor very old databases with the newest version."

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

"With Elastic, you need to code and program more things compared to Dynatrace."

More Elastic Observability cons

"I think the software is quite good, but we have had problems with getting it to recognize certain areas and amend certain checks, where we needed so we would have to create backend scripts for those checks. Though, being open source, it has the support to create backend scripts, it would be better to have these scripts in-built."

"The connection between Icinga and Icinga Web."

"Icinga’s automation could be improved."

"We have found some problems with Nagios, and support isn't very responsive."

"It is not really adequate for our current needs. It causes additional issues which we have to work around and takes us time that a better solution would not."

"Icinga is a complex solution that's hard to learn. It's a powerful product for monitoring, but new users will have a hard time figuring out what to do."

"Network Discovery capabilities would be extremely helpful."

"One thing that Icinga lacks is the capability to create advanced and customized dashboards within the tool itself."

More Icinga cons

Pricing and Cost Advice

"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."

"The product’s pricing needs improvement."

"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."

"The product is not that cheap."

"Since we are a huge company, Elastic Observability is an affordable solution for us."

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

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

"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

"The solution is free to use."

"The solution is cheap."

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

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

"It's an open-source solution."

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

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

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

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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 ...

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,...

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.

What is your experience regarding pricing and costs for Icinga?

It is cost-effective, and the return on investment can be very interesting because the price is low. If you want to include this product in the services you offer to your customers, the return on i...

What needs improvement with Icinga?

There is room for improvement in multi-tenancy. It's not perfect, not even really good. It's average, but it should be improved. For instance, multi-tenancy for monitoring the virtual infrastructur...

What is your primary use case for Icinga?

We use Icinga as a monitoring solution to monitor customers' infrastructures. We work as a managed service provider, so we offer monitoring and many other services to our customers. So we use it in...

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Product Reports

Elastic Observability

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Also Known As

No data available

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