

Splunk Observability Cloud and Marvis Virtual Network Assistant compete in network performance and monitoring. Splunk has the upper hand in scalability and cost-effectiveness, while Marvis is noted for intuitive feature integration and advanced functionality.
Features: Splunk Observability Cloud provides extensive data analysis capabilities, real-time alerts, and seamless integration with IT infrastructure. Marvis Virtual Network Assistant focuses on AI-driven network insights, automated troubleshooting, and natural language processing.
Ease of Deployment and Customer Service: Splunk Observability Cloud features a straightforward deployment process and comprehensive support, suitable for complex deployments. Marvis Virtual Network Assistant offers AI-driven deployment, optimizing network operations with minimal manual intervention.
Pricing and ROI: Splunk Observability Cloud offers competitive pricing with significant ROI, ideal for large-scale monitoring. Marvis Virtual Network Assistant's pricing reflects its advanced AI functionalities, promising higher long-term value for businesses through innovative features.
| Product | Market Share (%) |
|---|---|
| Splunk Observability Cloud | 1.3% |
| Marvis Virtual Network Assistant | 0.4% |
| Other | 98.3% |


| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 10 |
| Large Enterprise | 48 |
Marvis is the first network assistant in the industry to bring conversational AI to networking, transforming the way IT teams interact and engage with enterprise networks. In the era of AIOps, Marvis delivers streamlined operations, simplified troubleshooting, and remarkable user experiences.
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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