

Splunk Observability Cloud and Huawei eSight compete in advanced monitoring solutions. Splunk Observability Cloud holds the upper hand due to its comprehensive integration capabilities, scalability, and advanced features.
Features: Splunk offers advanced APM monitoring, real-time metrics dashboards, and seamless integration with third-party tools, including ServiceNow. Huawei eSight is valued for its simplicity and effective management of Huawei devices, providing a user-friendly experience and stable device monitoring.
Room for Improvement: Splunk could improve cost transparency, user onboarding, and log management efficiency. Huawei eSight needs enhancements in network automation, third-party device integration, and reporting features to boost its flexibility and reliability.
Ease of Deployment and Customer Service: Splunk's deployment flexibility spans public and hybrid clouds, while Huawei eSight is primarily on-premises. Both offer solid customer support, with Splunk's documentation and support for advanced customizations being more comprehensive.
Pricing and ROI: Splunk's higher costs are justified by its features and monitoring capabilities, resulting in significant ROI through workflow efficiencies. Huawei eSight offers competitive pricing, ideal for businesses prioritizing cost but with limited feature scope compared to Splunk.
| Product | Mindshare (%) |
|---|---|
| Splunk Observability Cloud | 2.1% |
| Huawei eSight | 0.8% |
| Other | 97.1% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 5 |
| Large Enterprise | 1 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 10 |
| Large Enterprise | 53 |
Huawei eSight provides efficient network and infrastructure management, known for supporting all Huawei devices. With features like alarm management and device health visualization, it remains a stable, scalable tool for Huawei partners seeking effective monitoring and control.
Huawei eSight offers detailed monitoring, supporting Huawei devices seamlessly, praised for its simplicity and integration with Windows servers. Users appreciate its Network Traffic Analyzer and dashboard, which includes storage and resource monitoring. It is cost-effective and scales well for Huawei users. However, interface and menu design updates are needed, alongside better automation and third-party device integration like Cisco switches. Improvements in wireless reporting and licensing options would enhance usability. Excessive alerts and flexibility issues should be addressed, as should support and deployment processes.
What key features does Huawei eSight provide?Huawei eSight is widely adopted in industries for managing network infrastructure. Organizations use it to monitor switches, routers, and access points, often in data centers or enterprise networks. It aids in device configuration, management, and support, tailored to networks built on Huawei's product ecosystem.
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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