

DataRobot and DX NetOps are both competitive products in the field of data analysis and network management. DataRobot excels in integrations and automation, while DX NetOps provides superior network management and long-term value.
Features: DataRobot is noted for its powerful automation capabilities, wide range of integrations, and value for data-driven decision-making. DX NetOps stands out for comprehensive network monitoring, real-time analytics, and superior network management tools.
Room for Improvement: DataRobot users desire more extensive documentation, better customer support, and enhanced features. DX NetOps users seek a more intuitive setup process, additional custom reporting features, and solutions to deployment complexities.
Ease of Deployment and Customer Service: DataRobot is praised for its straightforward deployment and responsive customer service. DX NetOps faces criticism for complicated setup and less consistent support, making DataRobot easier to deploy.
Pricing and ROI: DataRobot may be more expensive, but users report high ROI due to its efficiency and capabilities. DX NetOps offers competitive pricing and favorable ROI, appreciated for cost-effectiveness in network management.
On average, we're saving about 10 to 15 hours per project.
It can save you the cost of the product by reducing expenses and downtimes in 12 to 18 months.
They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
Creating a support case based on priority allows for immediate responses.
Everything about DX NetOps is perfect, including the interface, technical support, and pricing.
They are fast, responsive, and have technical expertise.
The product is very scalable, to the maximum.
I rate the stability of the product as ten on a scale of one to ten, indicating that it is very stable.
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python.
There is a lack of transparency in the models; sometimes it feels like a black box.
Different communication methods such as agent-based connections, TCP/IP, or secured connections are necessary—features not currently available in DX NetOps and Spectrum.
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.
I would particularly like it to integrate with the Symantec portfolio and the Carbon Black portfolio.
The setup cost was minimal because it's cloud-hosted, eliminating the need for heavy on-premises infrastructure, allowing us to start using it immediately after purchase.
I think the pricing is expensive.
The licensing cost of DX NetOps is expensive, not very affordable, and on the top of the price range in the market.
DataRobot has positively impacted our organization in many ways. First, it has improved efficiency; tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
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 (%) |
|---|---|
| DataRobot | 1.0% |
| DX NetOps | 1.4% |
| Other | 97.6% |


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.
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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