Elastic Observability vs ITRS Geneos comparison

Elastic and ITRS are both solutions in the Application Performance Monitoring (APM) and Observability category. Elastic is ranked #10 with an average rating of 8.8, while ITRS is ranked #35 with an average rating of 5.0. Elastic holds a 2.4% mindshare in APM, compared to ITRS’s 1.0% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 96% of ITRS users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

8,483 Views
6,702 Comparison Views

88% willing to recommend

ITRS Geneos

Read 57 ITRS Geneos reviews

4,591 Views
2,892 Comparison Views

96% willing to recommend

Elastic Observability

ITRS Geneos

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

ITRS Geneos and Elastic Observability are competing in the IT monitoring and observability space. Elastic Observability has the upper hand due to its comprehensive features and broader integrations.

Features: ITRS Geneos is praised for real-time monitoring, complex event processing, and strong user satisfaction. Elastic Observability offers extensive data analysis, diverse visualization tools, and support for multiple data sources.

Room for Improvement: Users suggest ITRS Geneos improve ease of use, offer more customization options, and enhance integration capabilities. Elastic Observability users want better support for large-scale data, improved search functionality, and more efficiency in data handling.

Ease of Deployment and Customer Service: ITRS Geneos has a smooth deployment process and strong customer support. Elastic Observability users find deployment more complex but benefit from responsive support.

Pricing and ROI: ITRS Geneos is favored for competitive pricing and strong ROI. Elastic Observability is seen as more expensive but valuable for its advanced features. Users of both products report satisfaction with ROI, noting that Elastic Observability's broader capabilities justify its higher price.

To learn more, read our detailed Elastic Observability vs. ITRS Geneos Report (Updated: February 2026).

Buyer's Guide

Elastic Observability vs. ITRS Geneos

February 2026

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Helped 881,733 peers since 2012

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

Ranking in other categories

Log Management (16th), Container Monitoring (5th), Cloud Monitoring Software (10th)

ITRS Geneos

Ranking in Application Performance Monitoring (APM) and Observability

35th

Ranking in IT Infrastructure Monitoring

44th

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Network Monitoring Software (64th)

Mindshare comparison

As of February 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 2.4%, down from 6.1% 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 Market Share Distribution
Product	Market Share (%)
Elastic Observability	2.4%
ITRS Geneos	1.0%
Other	96.6%

Application Performance Monitoring (APM) and Observability

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.

Read full review

DeepakR

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.

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

"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."

"I have built a mini business intelligence system based on Elastic Observability."

"Its diverse set of features available on the cloud is of significant importance."

"For full stack observability, Elastic is the best tool compared with any other tool ."

"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."

"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."

More Elastic Observability pros

"This tool allows one to analyse, integrate and customize as per the systems and allows you to set your own rules."

"ITRS can define rules to alert when certain parameters that you monitor breach a threshold. Rules can be configured to fire recovery actions automatically to clear the alert"

"The Netprobe is so lightweight compared to the agents that most monitoring tools use. It's really superior to the competition. The agent that is used by almost every competitive tool takes a lot more system resources. It's slower and it requires a greater effort and more compromises in terms of security to install on the monitored servers. With Geneos, because it lives outside the code, it is far easier and far less taxing on the monitored systems."

"One thing we're utilizing in Geneos is the Gateway-SQL. That's really helpful for us. Using Gateway-SQL, we are able to merge two different views into one. Suppose we have to check something in the log and that we have to check something in the database and do a comparison before publishing a result. We can achieve that using Gateway-SQL."

"Real-time log monitoring with desktop alerts is valuable as it tells us immediately when there is an issue."

"The ability to logically normalize data gathered from multiple types of sources via pre-built plugins is extremely powerful. This functionality, coupled with the ability to import custom data via the Toolkit plugin allows Geneos to be leveraged to monitor every system in the enterprise."

"Ability to monitor logs for potential issues to prevent app outages before problems get a chance to arise. That's invaluable for our teams in a fast-paced trading environment."

"Geneos automatically sends email notifications when any batch job fails, the database is down or the website is down. It is automatically monitoring everything and reduces manual effort."

More ITRS Geneos pros

Cons

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

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

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

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

"The cost must be made more transparent."

"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."

"There's a steep learning curve if you've never used this solution before."

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

More Elastic Observability cons

"For the last year or two, I've been asking the vendor about the mobile app. This is something that probably everyone asks when they see the tool and they see how powerful it is. If there is any mobile app for this or if there is any way this tool can be more easily accessible other than having a big client installed, it would be great. I know you can build dashboards, et cetera, but there is no quick and easy way. I should be able to download an app, log in, and see my status. That will put this product above everything else out there. I believe it's on their roadmap."

"I would like ITRS Geneos to develop an app, where instead of going to specific login terminals or logging into laptops or desktops to check alerts, we can have visibility in the app itself."

"Mobile phone integration is probably not as rich as it could be."

"ITRS Geneos is not on the cloud at a time when everyone is moving to the cloud."

"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."

"Backward compatibility with deprecated features and in system documentation on what configuration areas are needed to be updated."

"Data visualization – real time and historical – is a weakness."

"Geneos' application monitoring could be improved a lot. Products like AppDynamics and Dynatrace provide the process thread-level monitoring, but Geneos lacks these capabilities."

More ITRS Geneos cons

Pricing and Cost Advice

"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."

"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."

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

"The product is not that cheap."

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

"The price of Elastic Observability is expensive."

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

More Elastic Observability pricing and cost advice

"When I first came in, their pricing was very high. ITRS had a high expectation of what their price should be based on perceived value. I think they have been realizing, more recently, that there are other competitors, so their pricing is a lot better. Licensing for on-premise is okay, however I feel there is quite some work to be done for cloud and containers. We're still working with them to try and work out what that pricing should look like."

"Its price is reasonable. It isn't too expensive, and it isn't too cheap, but it also depends on a company's volume and negotiation."

"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."

"It is expensive. They have to look at the model around when we move to cloud and how that's going to work. The licensing cost does pay off because of the improvements in support to our business."

"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."

"Given our spend and the amount of service we have in it, the pricing is quite reasonable."

"The pricing seems reasonable. We're happy enough with it."

"I can say it's not that cheap because the licensing is a little bit costly"

More ITRS Geneos pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

Government

Financial Services Firm

69%

Computer Software Company

Construction Company

Outsourcing Company

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	6
Midsize Enterprise	12
Large Enterprise	39

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...

See all answers

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 ...

See all answers

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,...

See all answers

What is your experience regarding pricing and costs for ITRS Geneos?

The pricing is high. Licensing fees might be around 500$ per server monthly.

See all answers

What needs improvement with ITRS Geneos?

See all answers

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...

See all answers

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Compared 5% of the time

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Compared 13% of the time

Grafana vs ITRS Geneos

Compared 8% of the time

Splunk AppDynamics vs ITRS Geneos

Compared 8% of the time

Prometheus-AI Platform vs ITRS Geneos

Compared 5% of the time

BMC TrueSight vs ITRS Geneos

Compared 2% of the time

More ITRS Geneos Competitors

Product Reports

Buyer's Guide

Elastic Observability

February 2026

Download Elastic Observability product report

Buyer's Guide

ITRS Geneos

January 2026

Download ITRS Geneos product report

Also Known As

No data available

Geneos

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

ITRS Geneos is a real-time monitoring tool designed for managing increasingly complex, hybrid and interconnected IT estates.

Built with financial services and trading organisations in mind, it collects a wide range of data relating to server performance, infrastructure, trading, connectivity and applications, and analyses it to provide relevant information and alerts in real time.

Geneos can give full stack visibility across highly dynamic environments and presents all the information through a single pane of glass and its configurable and customisable dashboards provide end-to-end visibility to both technical and business users.

For more information, please visit https://www.itrsgroup.com/products/geneos

ITRS

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.

Buyer's Guide

Elastic Observability vs. ITRS Geneos

February 2026

Free Report: Elastic Observability vs. ITRS Geneos

Find out what your peers are saying about Elastic Observability vs. ITRS Geneos and other solutions. Updated: February 2026.

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