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: September 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

11th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (10th), Log Management (14th), Container Monitoring (6th)

Icinga

Ranking in IT Infrastructure Monitoring

49th

Ranking in Cloud Monitoring Software

34th

Average Rating

7.6

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Network Monitoring Software (42nd), Server Monitoring (15th)

Mindshare comparison

As of September 2026, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 1.3%, down from 3.1% compared to the previous year. The mindshare of Icinga is 1.3%, down from 3.6% 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

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

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

"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."

"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."

"I recommend Elastic Observability for its completeness of vision and wide ecosystem."

"It has always been a stable solution."

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

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

More Elastic Observability pros

"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."

"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."

"Icinga does the job and is fairly stable."

"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."

"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."

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

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

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

More Icinga pros

Cons

"The interface could be improved."

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

"More web features could be added to the product."

"Elastic Observability needs to have better standardization, logging, and schema."

"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."

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

"There is room for improvement regarding its APM capabilities."

"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."

More Elastic Observability cons

"The solution lacks many features important to higher-level IT management and network support."

"The user interface should be improved."

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

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

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

"In general, the product does not look good. However, it does what it is supposed to do. So, the improvements should focus on usability and UI."

"Icinga’s automation could be improved."

"Network Discovery capabilities would be extremely helpful."

More Icinga cons

Pricing and Cost Advice

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

"We have been using the open-source version."

"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."

"The product is not that cheap."

"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’s pricing needs improvement."

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

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

More Elastic Observability pricing and cost advice

"The solution is cheap."

"The solution is free to use."

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

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

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

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

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

"It's an open-source solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Comms Service Provider

Outsourcing Company

Educational Organization

14%

Comms Service Provider

13%

University

11%

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.

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Product Reports

Elastic Observability

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Download Icinga product report

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