

ITRS Geneos and Prometheus-AI Platform compete in the real-time monitoring and incident management category. ITRS Geneos appears to have an edge due to its rich feature set and customer support, while Prometheus-AI offers flexibility and cost-effectiveness for open-source users.
Features: ITRS Geneos provides real-time monitoring, customizable alerts, and comprehensive dashboards. It includes a variety of plug-ins supporting numerous technologies, and tools for problem resolution from the interface. Prometheus-AI excels at collecting metrics, is highly flexible with a strong scraping mechanism, and integrates smoothly with Grafana for visualization, making it favored in cloud-native environments.
Room for Improvement: ITRS Geneos users have expressed a need for enhancements in historical data analysis, more intuitive dashboards, and improved cloud integration, as well as better visualization and mobile access. Prometheus-AI could improve in areas like user interface, documentation, and visualization capabilities, along with refining its alerting functions and integration to streamline monitoring.
Ease of Deployment and Customer Service: ITRS Geneos is mainly deployed on-premises, backed by robust customer service and technical support noted for quick responses. In contrast, Prometheus-AI is flexible, deployable in various environments including public and hybrid clouds but relies on community support due to its open-source nature.
Pricing and ROI: ITRS Geneos, although priced higher, is considered cost-effective in regulated environments where uptime is crucial, due to its features. Prometheus-AI is budget-friendly with low initial setup costs, resulting in high ROI, though returns vary based on its integration and usage.
| Product | Market Share (%) |
|---|---|
| ITRS Geneos | 1.1% |
| Dynatrace | 7.4% |
| Datadog | 6.0% |
| Other | 85.5% |
| Product | Market Share (%) |
|---|---|
| Prometheus-AI Platform | 0.8% |
| IBM Maximo | 18.3% |
| IFS Cloud Platform | 8.4% |
| Other | 72.5% |


| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 12 |
| Large Enterprise | 39 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 13 |
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
Prometheus-AI Platform offers flexible solutions for collecting, visualizing, and comparing metrics, appreciated for its scalability, rich integrations, and open-source adaptability.
Prometheus-AI Platform provides a reliable framework for monitoring and analyzing metrics across diverse environments. With extensive API support, it supports data collection, querying, and visualization, integrating seamlessly with tools like Grafana. High availability, scalability, and lightweight configuration make it suitable for traditional and microservice environments, while community support enhances its utility. Though its query language and interface require improvements for better ease of use, and with calls for stronger integration options, the platform remains a leading choice for comprehensive metric analysis.
What are Prometheus-AI Platform's main features?Companies leverage Prometheus-AI Platform across various industries, utilizing it to monitor and analyze metrics from applications and infrastructure. It is extensively used in financial services and IT sectors for collecting, scraping logs, and monitoring Kubernetes deployments. Deployed both on-premise and in cloud environments like Azure and Amazon, it supports system and application metrics analysis, ensuring a comprehensive view for developers.
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