Splunk Observability Cloud and Cisco DNA Center both compete in the observability and network management sectors. Splunk Observability Cloud holds a slight advantage due to its flexibility and comprehensive feature set, whereas Cisco DNA Center excels in network automation and integration with Cisco products.
Features: Splunk Observability Cloud offers advanced log searching, custom metric handling, and the ability to create customizable dashboards. It provides seamless data collection from a wide range of sources and allows for high scalability. Cisco DNA Center is known for its network automation and management capabilities, identity management, and Wi-Fi analytics, ensuring integration within the Cisco ecosystem.
Room for Improvement: Splunk Observability Cloud could enhance integration with Azure, improve its AI-powered analytics, and offer more intuitive dashboards. There is also a need for reduced licensing costs and better Real User Monitoring integration with AppDynamics. Cisco DNA Center faces challenges with deployment complexity, lack of integration with non-Cisco products, and high costs, which can be forbidding for SMBs. Additionally, its licensing models need simplification for broader adoption.
Ease of Deployment and Customer Service: Splunk Observability Cloud is versatile in deployment across cloud environments, making it accessible to different businesses. Its support is generally friendly, though at times under pressure. Cisco DNA Center's on-premises deployment is complex, often requiring specialized expertise, which can challenge smaller teams. The customer service is satisfactory, but navigation through documentation and support could be improved.
Pricing and ROI: Splunk Observability Cloud is perceived as expensive, primarily due to its data ingestion-based licensing. However, it offers a valuable ROI through enhanced visibility and system uptime. Cisco DNA Center is a high-cost option, especially for SMBs, yet offers centralized management benefits for larger networks, justifying its investment. Its long-term licensing costs remain significant, posing barriers despite potential discounts. Both solutions provide valuable ROI, but initial and ongoing costs are challenges for potential users.
Although Cisco DNA Center is expensive, we have seen a return on investment in terms of time savings.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability.
Overall, Cisco DNA Center rates eight out of ten as a complete solution.
The support for Cisco DNA Center is good.
On a scale of 1 to 10, the customer service and technical support deserve a 10.
They have consistently helped us resolve any issues we've encountered.
They often require multiple questions, with five or six emails to get a response.
From my experience, we can easily manage numerous devices.
The solution is designed for large enterprise companies.
We've used the solution across more than 250 people, including engineers.
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
I would rate its scalability a nine out of ten.
When we communicate problems, they solve them effectively.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
The AI-driven insights have contributed significantly to faster troubleshooting and predictive analytics.
The client history in Cisco DNA Center can be longer than 10 days, perhaps extending to 15 or 20 days.
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
It appears to be expensive compared to competitors.
The most valuable features include AI-driven insights which make troubleshooting much easier.
If there is a problem, I can inspect the situation and see what is happening, which is beneficial.
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
| Product | Market Share (%) |
|---|---|
| Splunk Observability Cloud | 1.2% |
| Cisco DNA Center | 1.4% |
| Other | 97.4% |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 9 |
| Large Enterprise | 25 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 10 |
| Large Enterprise | 43 |
Cisco DNA Center offers a comprehensive platform for network automation and management, providing detailed analytics, enhanced security, and streamlined operations for both wired and wireless networks.
Cisco DNA Center integrates with Cisco infrastructure to deliver efficient network automation and management, helping organizations improve network visibility, security, and control. It supports AI-driven analytics and automated workflows to enhance operational efficiency and reduce errors. Challenges include compatibility with third-party systems, steep learning curve, and complex deployment. Its interface facilitates centralized control, vital for troubleshooting, policy management, and configuration management, with support for zero-touch provisioning and SD-Access.
What are the key features of Cisco DNA Center?In sectors such as healthcare, finance, and retail, Cisco DNA Center is utilized for its ability to enhance security and compliance, manage large-scale networks, and provide detailed analytics for better operational decision-making. Its support for location tracking and policy automation ensures efficient network management across diverse 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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