

Datadog and vRealize Network Insight are contenders in the monitoring and network visualization space. Datadog has an edge in overall monitoring capabilities due to its comprehensive integrations and hosted nature, while vRealize Network Insight shines with its detailed network visualizations.
Features: Datadog stands out with its extensive integrations, intuitive and sharable dashboards, and hosted platform, reducing user-side infrastructure management. It allows users to create monitors easily, encouraging more comprehensive system observability. vRealize Network Insight excels at network visualization and comprehensive troubleshooting, providing detailed insights into network flows and interactions that are essential for network optimization and security.
Room for Improvement: Datadog could enhance metrics querying, improve API consistency, and expand notification capabilities. Costs and performance issues also require attention. For vRealize Network Insight, simplifying usability and improving integration with non-VMware products are suggested. It should also focus on better support for physical devices and more competitive pricing strategies.
Ease of Deployment and Customer Service: Datadog is praised for its responsive and knowledgeable customer service, although its deployment can be complex for larger environments. vRealize Network Insight requires specific integration processes and can be challenging with physical infrastructure, though both products offer strong support, with Datadog providing more active customer engagement.
Pricing and ROI: Datadog's pricing is competitive but complex, with potential high costs that scale with usage, making cost monitoring critical. vRealize Network Insight is also considered expensive, especially given its network visualization focus. Both solutions promise ROI through enhanced efficiency and reliability, with Datadog providing broader monitoring capabilities that could offer greater operational value.
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.
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.
It's difficult to find necessary documentation, open tickets, and get support.
We are paying too much for technical support from VMware.
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.
We are managing that one but usually we have an API connector between our firewall vendor and our VMware NSX.
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.
Broadcom should improve by going back to what was working before, offering the suite of tools that clients actually use, and allowing clients to decide the best options for them.
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.
Broadcom is known for increasing product prices, making them expensive compared to what people used to pay.
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.
One of the biggest problems with VMware NSX is logging, and vRealize Network Insight helps by providing comprehensive logs.
| Product | Mindshare (%) |
|---|---|
| Datadog | 3.4% |
| vRealize Network Insight | 0.9% |
| Other | 95.7% |


| Company Size | Count |
|---|---|
| Small Business | 81 |
| Midsize Enterprise | 50 |
| Large Enterprise | 100 |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 8 |
| Large Enterprise | 43 |
Datadog offers a comprehensive platform for monitoring applications and infrastructure, providing insights into real-time metrics and optimizing performance with extensive integrations and analytics capabilities.
Datadog provides a robust monitoring platform designed for applications and infrastructure tracking. With intuitive dashboards and real-time metrics visibility, it enhances operational efficiency and enables proactive incident management. The platform supports data centralization across services, reducing downtime through its monitoring capabilities. Integration with AWS, Kubernetes, and other systems aligns with performance tracking and infrastructure management, while APM and RUM features allow tracing and user behavior analytics.
What are Datadog's Key Features?Industries utilizing Datadog benefit from detailed monitoring and comprehensive analytics across multi-cloud environments. Companies in e-commerce, finance, and technology sectors implement it for end-to-end monitoring ensuring robust application performance. The platform assists in maintaining standards through integration with services like AWS and Azure, providing efficient observability and allowing proactive issue resolution.
vRealize Network Insight provides deep visibility into network flows, intuitive visualization, and real-time monitoring. It identifies communication patterns and offers insights into east-west traffic within data centers, simplifying complex network analysis and troubleshooting.
This platform enhances efficiency in firewall management and supports microsegmentation with an intuitive interface. Its integration with VMware products and natural language querying adds value. Users use it for optimizing network flows, planning NSX deployments, and visualizing traffic. It assists in applying security policies, tracking data center flows, and building network architecture by providing advanced insights for policy refinement, ensuring network performance and compliance.
What are the key features of vRealize Network Insight?In specific industries, vRealize Network Insight is implemented to optimize network architecture, manage application dependencies, and enhance security measures. Companies utilize its analytical capabilities to refine policies and ensure robust network performance and security compliance, particularly in complex and hybrid cloud environments.
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