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 881,515 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

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

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

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

"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."

"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."

"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."

"The most valued feature of Elastic is its log analytics capabilities."

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

More Elastic Observability pros

"The ability to completely tailor and customize what it's monitoring is one of its strongest points. A lot of other monitoring tools are good at certain things, but one of my colleagues described it as the “Swiss Army Knife” of monitoring tools. It can do anything you want."

"The clean and colorful UI and easy to use options like snooze and active times."

"The ability to build integrations to tools that are not monitored out of the box is the most valuable feature."

"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."

"ITRS uses SNMP to communicate with our devices as well as SNMP net probes installed on our servers."

"I would say that it is an easy-to-use monitoring tool. Amongst the available monitoring tools, it is a really good option."

"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."

"The great advantage of this tool is real-time monitoring."

More ITRS Geneos pros

Cons

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

"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."

"Simplifying the parsing of logs and manual efforts would also be beneficial."

"The cost must be made more transparent."

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."

"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."

"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."

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

More Elastic Observability cons

"At the moment Geneos is excellent and handling real time monitoring, however not great at doing historical reporting."

"I would like better access to the data that is being collected."

"There is one drawback to using lightweight data collection: we lack the feature of observability based on time series, such as historical model data. This makes it difficult to view data in ITRS. ITRS needs to improve this feature."

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

"The main feature that needs work is the Dashboard designer."

"Much of the reporting outside of the user interface is very basic and requires much customization to be useful."

"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."

"ITRS have started to make some major changes that we haven't taken on board yet, in the creation of dashboards and more visibility of the metrics that we collect. At the moment, that's something that's lacking, but I know they have addressed it. Still, it’s not that easy to create stuff to help with visibility and dashboarding in Geneos."

More ITRS Geneos cons

Pricing and Cost Advice

"The price of Elastic Observability is expensive."

"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 will buy a premium license after POC."

"Pricing is one of those situations where the more you use it, the more you pay."

"The product is not that cheap."

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

"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."

More Elastic Observability pricing and cost advice

"Pricing and licensing is based on the requirements."

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

"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."

"ITRS Geneos is not a cheap tool. It's a moderate price for the banking industry. The reason we are not able to add the ITRS monitoring tool for the non-banking industries, and non-finance industries, is that the pricing is too high."

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

"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."

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

"Pricing is the touchy subject, even here. Upper management always wants us to find a cheaper solution. But we have so much integrated with ITRS... It's expensive, but it does its job very well. And you set it and go."

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

Comparisons

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Compared 7% of the time

Sentry vs Elastic Observability

Compared 6% of the time

Grafana vs Elastic Observability

Compared 6% of the time

New Relic vs Elastic Observability

Compared 6% of the time

Datadog vs Elastic Observability

Compared 5% of the time

More Elastic Observability Competitors

Dynatrace vs ITRS Geneos

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

January 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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