Splunk Observability Cloud and Marvis Virtual Network Assistant compete in network performance monitoring and management. Marvis seems to have an upper hand due to its innovative AI-driven features.
Features: Splunk Observability Cloud provides real-time data analytics, customizable dashboards for metrics and logs, and extensive data visualization capabilities. Marvis Virtual Network Assistant offers AI-based troubleshooting, network configuration adjustments, and proactive troubleshooting with AI integration.
Ease of Deployment and Customer Service: Splunk Observability Cloud uses a cloud-based deployment model with rapid implementation supported by extensive documentation and professional support services. Marvis Virtual Network Assistant features efficient deployment with intuitive AI integration that simplifies setup and adjustments. Splunk benefits from established customer service frameworks, while Marvis's AI-driven support enhances troubleshooting and customer engagement.
Pricing and ROI: Splunk Observability Cloud involves a significant initial investment but offers a high potential ROI through insights-driven decision-making. Marvis Virtual Network Assistant presents a cost-effective pricing model with quicker ROI due to efficient problem-solving capabilities and AI-driven management improvements.
Product | Market Share (%) |
---|---|
Splunk Observability Cloud | 1.2% |
Marvis Virtual Network Assistant | 0.3% |
Other | 98.5% |
Company Size | Count |
---|---|
Small Business | 20 |
Midsize Enterprise | 10 |
Large Enterprise | 43 |
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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