

Cisco Nexus Dashboard Fabric Controller and Datadog compete in the network management and monitoring category. Cisco Nexus Dashboard appears to have an edge in providing insights into data center environments, while Datadog leads in integration capabilities and real-time monitoring.
Features: Cisco Nexus Dashboard is recognized for its stability, automation capabilities, and graphical views of VDC connectivity. Datadog is valued for its ease of integration, extensive monitoring capabilities, and dashboard creation for detailed application performance insights.
Room for Improvement: Cisco Nexus Dashboard could improve by enhancing integration with non-Cisco tools, refining reporting, and offering a more user-friendly approach. Datadog users suggest improvements in cost management, simplifying its user interface, and offering deeper consumption insights. Both could benefit from pricing model enhancements and more intuitive interfaces.
Ease of Deployment and Customer Service: Cisco Nexus Dashboard is mainly on-premises, requiring dedicated support, with generally well-regarded customer service. However, some users note technical support efficiency concerns. Datadog offers flexibility across cloud environments, praised for broader, faster deployments, although some users call for improved cost management consulting and alerts.
Pricing and ROI: Cisco Nexus Dashboard is considered expensive yet worth the investment, especially for long-term deployments, due to its robust features. Datadog's flexible pricing aligns with usage, potentially challenging to predict, but users find its capabilities justify the expense when managed carefully.
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.
We have also seen fewer escalations for minor issues because alerts help us catch problems earlier, which indirectly reduces downtime and improves overall efficiency.
Cisco's support I would rate as a 10 compared to all other vendors.
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.
Datadog's scalability has been great as it has been able to grow with our needs.
Since it is a SaaS platform, we did not have to worry about backend scaling.
We have not faced any major performance issues from the platform side; it handles increased metrics and monitoring loads smoothly.
Metrics collection and alerting have been consistent in day-to-day use.
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.
I do not believe it integrated well with different infrastructures for hybrid environments.
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.
Having more transparent and granular cost control features would make it easier to manage usage.
The setup cost for Datadog is more than $100.
Pricing is mainly based on data ingestion, such as logs, metrics, and traces, and it can increase quickly if everything is enabled by default.
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.
People typically understand north-south traffic flows but usually miss the east-west traffic flows in data centers.
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 | Mindshare (%) |
|---|---|
| Datadog | 2.4% |
| Cisco Nexus Dashboard Fabric Controller (Formerly DCNM) | 0.6% |
| Other | 97.0% |


| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 6 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 82 |
| Midsize Enterprise | 47 |
| Large Enterprise | 100 |
Cisco Nexus Dashboard Fabric Controller, formerly DCNM, provides a consolidated dashboard offering insights into network operations, real-time telemetry, and automation capabilities. Users noted enhanced data center management and seamless SD-WAN integration.
Cisco Nexus Dashboard Fabric Controller integrates Python, Ansible, and Terraform for efficient traffic management. Comprehensive data center insight and stability highlight its utility across policy updates and network troubleshooting. With support for hybrid environments and enhanced network health data visibility, the platform suits complex, evolving infrastructures.
What are the Key Features?In data center operations, businesses leverage Cisco Nexus Dashboard Fabric Controller for improved security, tackling tasks like VPN operations and private cloud development. It enhances storage management, providing robust support to manage Nexus switches for optimized component oversight and security protocols.
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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