Cisco Nexus Dashboard Fabric Controller and Splunk Observability Cloud compete in the domain of IT infrastructure management and monitoring. Cisco seems to have the upper hand in stability and comprehensive integration, while Splunk excels in cloud integration and application performance monitoring.
Features: Cisco Nexus Dashboard Fabric Controller is known for its stability, automated fabric suite, and unique administrative capabilities. It offers comprehensive integration, particularly in managing Nexus networks and VDCs. Splunk Observability Cloud stands out for its detailed log searching, custom dashboards, and seamless cloud integration, providing extensive insights and the capability to ingest and analyze diverse datasets.
Room for Improvement: Cisco Nexus Dashboard Fabric Controller could be easier to set up and needs better VMware integration, reduced pricing, and enhanced automation features. Splunk Observability Cloud should improve its user interface customization, integration with external platforms, stability, and pricing structure.
Ease of Deployment and Customer Service: Cisco Nexus Dashboard Fabric Controller is typically deployed on-premises or in private clouds, with users satisfied with deployment and technical support, although improvements in continued support are noted. Splunk Observability Cloud showcases flexibility with deployment options across public, hybrid, and private clouds. It offers responsive support but could improve integration between Splunk products.
Pricing and ROI: Both Cisco Nexus Dashboard Fabric Controller and Splunk Observability Cloud are perceived as expensive, yet they provide value through premium features. Cisco users highlight ROI in terms of stability and scalability over time, while Splunk users value its comprehensive observability and analytics capabilities, albeit with a higher cost per data volume.
Product | Market Share (%) |
---|---|
Splunk Observability Cloud | 1.2% |
Cisco Nexus Dashboard Fabric Controller (Formerly DCNM) | 0.6% |
Other | 98.2% |
Company Size | Count |
---|---|
Small Business | 10 |
Midsize Enterprise | 6 |
Large Enterprise | 15 |
Company Size | Count |
---|---|
Small Business | 20 |
Midsize Enterprise | 10 |
Large Enterprise | 43 |
The Cisco Nexus Dashboard Fabric Controller (NDFC) offers a comprehensive solution for managing Cisco NX-OS switches in hybrid-cloud environments, providing automation, visibility, and consistent operations. Designed to simplify and enhance data center management, NDFC integrates with Cisco Nexus Dashboard to streamline network connectivity, reduce deployment times, and ensure seamless transitions with minimal disruptions. Its modular architecture, new user interface, and support for non-Nexus OS platforms make it a robust tool for LAN, SAN, and IP Fabric for Media management. Additionally, NDFC enhances fabric reliability, automates workflows, and supports cloud connectivity with AWS and Microsoft Azure, making it ideal for businesses adapting to increasingly complex digital environments.
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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