

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.
Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.
With respect to post-mortems during incidents, it really helps during root cause analysis.
Elastic support really struggles in complex situations to resolve issues.
Their excellent documentation typically helps me solve any issues I encounter.
I would rate 9 out of 10 with respect to ITRS Geneos's support, support metrics, and their support delivery.
I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.
Elastic Observability seems to have a good scale-out capability.
Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.
There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
The product is really capable of handling large volume data.
For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.
Modern cloud platforms and data cloud platforms require more attention from the product.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
The advantages and strong points of ITRS Geneos for me personally are seamless integration with existing systems as well as upcoming modern systems.
| Product | Mindshare (%) |
|---|---|
| Elastic Observability | 1.8% |
| ITRS Geneos | 0.9% |
| Other | 97.3% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 12 |
| Large Enterprise | 40 |
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?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.
ITRS Geneos offers a customizable platform for real-time monitoring with minimal system impact, facilitating insights across multiple platforms. Known for its scalability, it efficiently integrates with other tools, supporting industries with its proactive monitoring capabilities.
ITRS Geneos allows users to effectively manage financial services infrastructure by monitoring trading systems, treasury management, and FX operations. It provides real-time dashboards to track server uptime, application performance, and health metrics. Users benefit from its enterprise-wide data aggregation, alerting features, and script adaptability while needing improvement in cloud monitoring and AI-based predictive functionalities. The tool's setup requires some expertise, suggesting a need for more intuitive solutions.
What are the most important features of ITRS Geneos?ITRS Geneos is prominently utilized in financial sectors. Banks and financial institutions leverage its capabilities to monitor infrastructure and application performance, optimizing trading systems and FX operations. It builds comprehensive dashboards, offering valuable insights into server health, application logs, and network performance, contributing significantly to operational efficiency.
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