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Elastic Observability vs ITRS Geneos comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 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 Application Performance Monitoring (APM) and Observability
10th
Ranking in IT Infrastructure Monitoring
15th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Log Management (15th), Container Monitoring (5th), Cloud Monitoring Software (11th)
ITRS Geneos
Ranking in Application Performance Monitoring (APM) and Observability
34th
Ranking in IT Infrastructure Monitoring
45th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
57
Ranking in other categories
Network Monitoring Software (64th)
 

Mindshare comparison

As of March 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 2.2%, down from 5.9% compared to the previous year. The mindshare of ITRS Geneos is 1.0%, down from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Elastic Observability2.2%
ITRS Geneos1.0%
Other96.8%
Application Performance Monitoring (APM) and Observability
 

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.
DeepakR - PeerSpot reviewer
Site Reliability Engineer(Observability) at Sapiens
If one server fails, the agent will automatically be reinstalled
ITRS Geneos is a legacy system. It predicts or provides proactive measures once an issue is resolved. It doesn't offer any predictive capabilities or root cause analysis. They throw a lot of data if there's a 90% error. You need to check which process is consuming more CPU and determine the root cause for yourself. You need to troubleshoot it manually. This legacy system could introduce predictive analysis and root cause identification. They are reluctant to switch to newer solutions, which may require writing queries to fetch data. Manually logging into servers, checking CPU usage, identifying processes, and determining root causes is time-consuming. Once the root cause is identified, the issue can be resolved efficiently. The manual troubleshooting process is time-consuming. The content is not openly available in the market. If you search for it somewhere, it is not readily accessible. If you want to try it out, no trial version is available. Therefore, it will be challenging to learn. Loading ITRS is difficult, as you need to purchase it first. Secondly, only a few people are knowledgeable about ITRS in the market, making it challenging to find resources. Thirdly, the documentation must be well-documented, making finding content or training material hard. The UI also needs to be updated, which adds to the difficulty.

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."
"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."
"The solution allows us to dig deep into data."
"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."
"The solution has been stable in our usage."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The product has connectors to many services."
"The remarkable feature of Geneos is the dashboard. Geneos' flexible dashboard sets it apart from other monitoring tools. Other solutions have limitations in their dashboard design and can't be customized as much. The Geneos dashboard allows unlimited creativity."
"The clean and colorful UI and easy to use options like snooze and active times."
"The monitoring of queues which helps us to stay ahead of issues and fix them before users start complaining."
"The flexibility of the product is most valuable. It is highly customizable. If you put your mind to it and think of something you could do, there's a good possibility you can get it integrated within the console, if it's not readily available. The simplicity or ease of customization has been valuable."
"I would say that it is an easy-to-use monitoring tool. Amongst the available monitoring tools, it is a really good option."
"Geneos enables customized aggregate views and alerts for both related and disparate components, and this flexibility and insight facilitates proactive and prompt causation analysis so you can easily see everything at once and know why there is an issue within seconds rather than spend precious time trying to find out."
"This tool allows one to analyse, integrate and customize as per the systems and allows you to set your own rules."
"Tons of default modules which are available out of the box"
 

Cons

"When opening tickets, we cannot use our team mailbox."
"There's a steep learning curve if you've never used this solution before."
"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 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."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"The only challenging aspect for new users is often writing the query language."
"The interface could be improved."
"They have the Webslinger solution where you can see when something is alerting. It's a little bit cumbersome."
"It needs to have better middleware integration for things such as application and Microsoft SQL servers."
"Sometimes there were issues with the database. If the database logging was high then the gateway would be slow."
"Backward compatibility with deprecated features and in-system documentation on what configuration areas are needed to be updated can be improved."
"Their cloud monitoring solution needs to be improved. I have already given them the feedback that it's not capable of meeting the latest technology needs."
"I would also like to see suggested guidelines to accomplish a monitoring task. The issue is that ITRS is so flexible that there is more than one way to complete a task, each with benefits and disadvantages."
"We need more hassle free plug-ins that offer Load and Start with minimal manual efforts."
"Its web monitoring capability is very hard to use especially if there is authentication involved."
 

Pricing and Cost Advice

"One needs to pay for the licenses, and it is an annual subscription model right now."
"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."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"The product is not that cheap."
"The price of Elastic Observability is expensive."
"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."
"Pricing is one of those situations where the more you use it, the more you pay."
"The licensing cost may seem expensive upfront. However, the service is outstanding, the tool does things that no other tools can do, and the customizability more than makes up for the cost of licensing."
"Pricing and licensing is based on the requirements."
"The pricing is fairly market-related. They have been very lenient because we have been working with them for so long. An example is that we're currently migrating some of our services to AWS, and they've given us a grace period for some of the things to help with the migration and not to grow additional costs while we are migrating, but it's still on par with the market."
"Based on feedback from colleagues and friends working in the financial sector, Geneos is relatively costly. Many companies have been switching from Geneos to Dynatrace, Sysdig, or other monitoring tools in the past two years because of the price."
"The market tools are on par with this solution, but if the solution included more features, then it would be well within the range for the cost."
"The organization is not just purchasing a license for the product, but also managing services and professional services from ITRS. Another factor is if the implementation is going to be in production, non-production, or both."
"I can say it's not that cheap because the licensing is a little bit costly"
"The pricing seems reasonable. We're happy enough with it."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
12%
Manufacturing Company
8%
Government
7%
Financial Services Firm
69%
Computer Software Company
6%
Outsourcing Company
2%
Real Estate/Law Firm
2%
 

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 Business6
Midsize Enterprise12
Large Enterprise39
 

Questions from the Community

What do you like most about Elastic Observability?
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...
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 experience regarding pricing and costs for ITRS Geneos?
The pricing is high. Licensing fees might be around 500$ per server monthly.
What needs improvement with ITRS Geneos?
ITRS Geneos is a legacy system. It predicts or provides proactive measures once an issue is resolved. It doesn't offer any predictive capabilities or root cause analysis. They throw a lot of data i...
What is your primary use case for ITRS Geneos?
ITRS offers multiple products, including upgrades for synthetic monitoring and a SaaS platform. Geneos is used for infrastructure monitoring, covering KPIs such as CPU, memory, processes, network l...
 

Comparisons

 

Also Known As

No data available
Geneos
 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
ITRS Geneos is used by over 170 financial institutions, including JPMorgan, HSBC, RBS, Deutsche Bank and Goldman Sachs. Clients range from investment banks to exchanges and brokers.
Find out what your peers are saying about Elastic Observability vs. ITRS Geneos and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.