

Datadog and DX NetOps are competing products in the network management and monitoring category. Datadog seems to have the upper hand due to its extensive integrations and real-time monitoring capabilities, which enhance user experience and operational efficiency.
Features: Datadog offers extensive integrations with platforms like AWS and ServiceNow, customizable metrics, and comprehensive tools for log management and alerting, enhancing user performance awareness. DX NetOps excels in managing large-scale systems and provides robust network visibility features. It integrates seamlessly with existing IT ecosystems such as ServiceNow, making it a powerful tool for network management.
Room for Improvement: Datadog needs to simplify its cost management and billing processes, improve training accessibility, and deepen integrations. DX NetOps could enhance user experience through better automation of network tasks, more intuitive programming, and a modernized interface. Addressing these areas could broaden functionalities and improve user satisfaction.
Ease of Deployment and Customer Service: Datadog, with flexible deployment on public and private clouds, offers versatility suitable for diverse environments. It is complemented by comprehensive support, despite some reports of inconsistent quality. DX NetOps, focused on on-premises and hybrid cloud environments, provides consistent customer service but could benefit from modernizing its interface and offering cloud-native capabilities.
Pricing and ROI: Datadog's pay-as-you-go pricing can be costly for smaller enterprises, but it offers a high ROI through operational efficiency and reduced incident costs. Users must monitor usage to manage expenses effectively. DX NetOps, though initially expensive, offers competitive pricing based on scale and monitored devices, providing substantial value in terms of ROI and operational improvements.
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.
It can save you the cost of the product by reducing expenses and downtimes in 12 to 18 months.
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.
They are fast, responsive, and have technical expertise.
Everything about DX NetOps is perfect, including the interface, technical support, and pricing.
Creating a support case based on priority allows for immediate responses.
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.
The product is very scalable, to the maximum.
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.
I rate the stability of the product as ten on a scale of one to ten, indicating that it is very stable.
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.
DX NetOps is somewhat convoluted, and some of the programming constructs can be documented or driven through languages such as Python, Perl, and shell scripting, but they have their proprietary language, which may not be very user-friendly.
Different communication methods such as agent-based connections, TCP/IP, or secured connections are necessary—features not currently available in DX NetOps and Spectrum.
I would particularly like it to integrate with the Symantec portfolio and the Carbon Black portfolio.
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 licensing cost of DX NetOps is expensive, not very affordable, and on the top of the price range in the market.
I think the pricing is expensive.
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.
The product features include automation through AI, allowing out-of-the-box analysis of performance data, building baseline trends, and enabling configuration of dynamic thresholds relative to collected data.
The best features I've seen so far with DX NetOps are that it can work with large scale systems, and it has a lot of functionalities and matrices.
The most valuable feature in DX NetOps is the topological view, which is the network topological view.
| Product | Market Share (%) |
|---|---|
| Datadog | 2.4% |
| DX NetOps | 0.7% |
| Other | 96.9% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 98 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
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.
DX NetOps by CA Technologies, a Broadcom company, improves your time to value through advanced AI capabilities and unified network visibility that delivers simplified NetOps intelligence into the user experience that traverses modern architectures. DX NetOps accomplishes this through high scale, unified network monitoring that enables full-stack analytics for assuring traditional and modern architectures. DX NetOps converts inventory, topology, device metrics, faults, flow and packet analysis into actionable intelligence for network operations teams. Complimented by our AIOps solution, DX NetOps enables IT teams to establish proactive, autonomous remediation capabilities across the applications, infrastructure, and networks that fuel superior user experiences.
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