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Elastic Observability vs Icinga comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024

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
29
Ranking in other categories
Application Performance Monitoring (APM) and Observability (11th), Log Management (16th), Container Monitoring (5th)
Icinga
Ranking in IT Infrastructure Monitoring
48th
Ranking in Cloud Monitoring Software
32nd
Average Rating
7.6
Reviews Sentiment
6.1
Number of Reviews
17
Ranking in other categories
Network Monitoring Software (41st), Server Monitoring (17th)
 

Mindshare comparison

As of August 2026, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 1.3%, down from 3.3% compared to the previous year. The mindshare of Icinga is 1.4%, down from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
Elastic Observability1.3%
Icinga1.4%
Other97.3%
IT Infrastructure Monitoring
 

Featured Reviews

Mohammed-Abdelalim - PeerSpot reviewer
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.
reviewer2292201 - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The solution has been stable in our usage."
"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."
"The most valuable feature of Elastic Observability is the text search."
"We can view and connect different sources to the dashboard using it."
"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."
"The solution allows us to dig deep into data."
"Machine learning is the most valuable feature of this solution."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"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."
"We monitor all, starting from UPS to international mail chains."
"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."
"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."
"The drafts are easy but what I like about Icinga is that there are many add-ons that you can download."
"The apply rules feature saves a lot of time."
"This solution has a self-healing handler where if the service is down, it is automatically restarted."
"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."
 

Cons

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."
"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 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."
"There's a steep learning curve if you've never used this solution before."
"One example is the inability to monitor very old databases with the newest version."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"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."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"The connection between Icinga and Icinga Web."
"Scalability is problematic. If you have a stable environment it's good, but if the environment is growing, I had some problems with Icinga."
"Network Discovery capabilities would be extremely helpful."
"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."
"The user interface should be improved."
"The tool currently fails to provide notifications to users."
"One of the areas that are frustrating is remote monitoring for more than one machine."
 

Pricing and Cost Advice

"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."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"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."
"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."
"We have been using the open-source version."
"Elastic Observability's pricing could be better for small-scale users."
"The product’s pricing needs improvement."
"The solution is cheap."
"The product is inexpensive compared to other DBM products."
"This is an open-source solution with paid support."
"It's an open-source solution."
"It is cost-effective, and the return on investment can be very interesting because the price is low."
"We're using the free version of Icinga."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
9%
Government
7%
Manufacturing Company
7%
Educational Organization
14%
Comms Service Provider
11%
University
10%
Financial Services Firm
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise8
 

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.
Ask a question
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Comparisons

 

Also Known As

No data available
Icinga Cloud Monitoring
 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Puppet Labs, Audi, Spacex, Debian, Snapdeal, McGill, RIPE Network Coordination Centre
Find out what your peers are saying about Elastic Observability vs. Icinga and other solutions. Updated: August 2026.
910,479 professionals have used our research since 2012.