

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.
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Elastic Observability is really stable.
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.
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.
Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable metrics such as number of users or amount of data.
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.
Every integration, whether for Windows or Linux or even Palo Alto or Fortinet, installs the out-of-the-box dashboards along with it, making it easy to parse incoming data meaningfully and immediately start viewing dashboards to see what's happening in the platform.
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 | 1.5% |
| ITRS Geneos | 0.9% |
| Other | 97.6% |


| 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 is known for its powerful search capabilities, central logging, and integration with cloud-native tasks. It enhances monitoring for applications and systems through its flexibility and machine learning features.
Elastic Observability is a robust tool offering end-to-end monitoring and performance analysis, widely utilized for application performance monitoring, centralized logging, and metrics collection. Kibana enables data visualization and connection of sources, while the platform aids in incident response with real-time insights. Despite its complex learning curve, limited customization, and licensing challenges, it remains valuable for businesses seeking to improve operational efficiency with additional support from log analytics and system automation.
What are the key features of Elastic Observability?A wide range of industries apply Elastic Observability for its capabilities in capturing significant data points to offer insights into business and technical performance. Its applications span log events, application monitoring, network protocol monitoring, and more, aiding in data-driven decision-making processes within sectors like IT, finance, and e-commerce.
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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