OpenText Real User Monitoring and Splunk Observability Cloud compete in application performance visibility. Splunk Observability Cloud has an edge due to its advanced features, despite OpenText Real User Monitoring being more favorable in terms of pricing and support conditions.
Features: OpenText Real User Monitoring captures real-time data, offers in-depth analysis for diagnosing performance issues, and provides detailed end-user experience metrics. Splunk Observability Cloud supports real-time streaming, robust alerting, and extensive platform integrations, enhancing analytics with machine learning capabilities.
Room for Improvement: OpenText Real User Monitoring could improve by expanding its integration options, enhancing its analytics capabilities, and increasing its machine learning functionalities. Splunk Observability Cloud could focus on optimizing its cost structure, refining user interface elements for simplicity, and enhancing documentation for ease of use.
Ease of Deployment and Customer Service: OpenText Real User Monitoring offers straightforward deployment with strong service support for smooth onboarding. Splunk Observability Cloud provides agile cloud-based deployment with quick scalability, complemented by a guided setup and responsive customer service.
Pricing and ROI: OpenText Real User Monitoring is cost-effective, providing competitive pricing for tangible deployment value. Splunk Observability Cloud, despite its higher setup cost, offers advanced capabilities that promise substantial long-term returns, justifying its premium pricing.
Product | Market Share (%) |
---|---|
Splunk Observability Cloud | 2.0% |
OpenText Real User Monitoring | 0.4% |
Other | 97.6% |
Company Size | Count |
---|---|
Small Business | 2 |
Midsize Enterprise | 3 |
Large Enterprise | 7 |
Company Size | Count |
---|---|
Small Business | 20 |
Midsize Enterprise | 10 |
Large Enterprise | 43 |
Real User Monitoring (RUM) an End user monitoring that gives you visibility into user behavior for fast, targeted problem resolution. It monitors the performance and availability of business-critical application services for all users at all locations all the time. It automatically discovers underlying infrastructure and classifies user actions - giving you instant visibility into session and whole service health over web, cloud, and mobile user experience. It allows you to trace user experience across tiers, capture live sessions, see where customers clicked, measure response times, and see pages that caused problems. And you can easily capture and replay user sessions to create test scripts that reflect real user behavior. All this data gives you new ability to analyze which application transactions your users are performing and what application response they are experiencing. RUM currently supports over 20 application protocols and applications such as SAP, Citrix, and native mobile application monitoring on Android.
Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.
Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.
What are the key features?In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.
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