Datadog and Cisco DNA Center compete in the monitoring and management software market. Datadog appears to have an advantage due to its comprehensive integration and monitoring capabilities that offer more flexibility and detailed insights, while Cisco DNA Center excels in network management within Cisco ecosystems.
Features: Datadog emphasizes robust APM capabilities, integrations for a unified view of system performance, and informative dashboards. Cisco DNA Center provides strong network management, analytics, and automation, particularly for Cisco hardware, enhancing operational efficiency.
Room for Improvement: Datadog is noted for its complex billing model, with users desiring more straightforward cost management and improved third-party integrations. Cisco DNA Center is regarded as complex and expensive, with users requesting more seamless integration with non-Cisco devices and improved documentation.
Ease of Deployment and Customer Service: Datadog supports flexible deployment across various cloud environments, with varied customer service quality. Cisco DNA Center is suitable for on-premises deployments in Cisco-heavy environments, presenting a steeper learning curve and requiring more responsive support.
Pricing and ROI: Datadog's usage-based pricing can be unpredictable but offers high ROI via enhanced visibility and efficiency. Cisco DNA Center's high costs and complex licensing can hinder its adoption, though it offers significant long-term benefits for larger organizations invested in Cisco infrastructure.
Although Cisco DNA Center is expensive, we have seen a return on investment in terms of time savings.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
Overall, Cisco DNA Center rates eight out of ten as a complete solution.
The support for Cisco DNA Center is good.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
From my experience, we can easily manage numerous devices.
The solution is designed for large enterprise companies.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
When we communicate problems, they solve them effectively.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
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.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
We want to be able to customize the cost part, and we would appreciate more granular access control.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
The setup cost for Datadog is more than $100.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
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.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
| Product | Market Share (%) |
|---|---|
| Datadog | 2.4% |
| Cisco DNA Center | 1.0% |
| Other | 96.6% |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 9 |
| Large Enterprise | 25 |
| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 98 |
Cisco DNA Center delivers powerful centralized security, automation, and comprehensive analytics for enhanced network management. With an intuitive dashboard and integration with Cisco devices, it reduces errors, boosts efficiency, and ensures seamless wired and wireless network operations.
Organizations leverage Cisco DNA Center for network management and automation, offering increased visibility into traffic flows and efficient device provisioning. It supports real-time data transmission, network segmentation, and integrates with ISE. Features like wireless assurance, centralized management, and AI-driven insights into network health promote an efficient network environment while addressing compliance issues. However, improvements are necessary for better third-party integration, affordability, and more user-friendly documentation.
What are the solution's most important features?In industries like healthcare, finance, and education, Cisco DNA Center's advanced features facilitate the management of complex network infrastructures and aid in achieving compliance efficiently. Its ability to manage LANs and WLANs supports diverse networking environments including greenfield projects and SPN setups.
Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.
Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.
What are Datadog's Key Features?In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.
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