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: October 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

13th

Ranking in Cloud Monitoring Software

12th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (11th), Log Management (14th), Container Monitoring (5th)

Icinga

Ranking in IT Infrastructure Monitoring

50th

Ranking in Cloud Monitoring Software

34th

Average Rating

7.6

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Network Monitoring Software (44th), Server Monitoring (17th)

Mindshare comparison

As of October 2026, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 1.3%, down from 2.9% compared to the previous year. The mindshare of Icinga is 1.3%, down from 3.5% 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	1.3%
Other	97.4%

IT Infrastructure Monitoring

Featured Reviews

Stefan Decuypere

Technology Consultant at Hybrid software

Real-time dashboards and visual insights have streamlined issue analysis and monitoring

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, I know what it costs but am not directly involved in cost-benefit evaluations or maintenance, which is handled by another team. I develop the visual representation of the data and frankly, I don't see major gaps in my application or anything I would really miss; I appreciate the fast pace of the developments that have occurred in the last couple of years. Regarding room for improvement in Elastic Observability, I would have preferred built-in tools to manage the indexes on deployment for better visual representation, as the initial feedback regarding system performance and data storage was fairly primitive and lacking.

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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's easy to deploy, and it's very flexible."

"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."

"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."

"It is very stable, and I would rate it ten out of ten based on my interaction with it."

"For full stack observability, Elastic is the best tool compared with any other tool like New Relic or AppDynamics or Dynatrace."

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

"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."

"The solution has been stable in our usage."

More Elastic Observability pros

"I like the ability to amend and adjust things really easily, which is useful in a case where you could make it auto-discover and then set a template to say all of these applications or servers under this template have an automatic threshold set that you’d set up manually."

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

"The drafts are easy but what I like about Icinga is that there are many add-ons that you can download."

"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."

"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."

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

"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."

"This solution has a self-healing handler where if the service is down, it is automatically restarted."

More Icinga pros

Cons

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

"The cost must be made more transparent."

"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."

"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."

"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."

"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."

"When I go to the portal, I do not see many insights on the endpoints or where there could be latencies."

"The price is the only issue in the solution. It can be made better and cheaper."

More Elastic Observability cons

"It needs Trap SNMP. I saw the documentation for Zabbix, that it has its own built-in product which handles SNMP traps, and there's nothing similar in Icinga or Nagios. I think this feature is most important for me."

"At this time, the layout of the website is a bit difficult. It should be more user-friendly for changing the background and logos."

"The connection between Icinga and Icinga Web."

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

"Icinga’s automation could be improved."

"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."

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

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

More Icinga cons

Pricing and Cost Advice

"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."

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

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

"We will buy a premium license after POC."

"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."

"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."

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

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

More Elastic Observability pricing and cost advice

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

"The solution is free to use."

"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."

"The solution is cheap."

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

"It's an open-source solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

Comms Service Provider

Outsourcing Company

Educational Organization

14%

Comms Service Provider

13%

University

13%

Financial Services Firm

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 ...

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What needs improvement with Elastic Observability?

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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Comparisons

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New Relic vs Elastic Observability

Compared 3% of the time

Datadog vs Elastic Observability

Compared 3% of the time

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Zabbix vs Icinga

Compared 8% of the time

Checkmk vs Icinga

Compared 5% of the time

Nagios XI vs Icinga

Compared 5% of the time

SolarWinds Server and Application Monitor vs Icinga

Compared 3% of the time

Nagios Core vs Icinga

Compared 3% of the time

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Product Reports

Elastic Observability

Download Elastic Observability product report

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