Try our new research platform with insights from 80,000+ expert users

DX NetOps vs DataRobot comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 16, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
9.0
DataRobot enhanced prediction accuracy, reduced analysis time, simplified processes, and improved efficiency, leading to better decisions and cost savings.
Sentiment score
3.7
Organizations achieve positive ROI from DX NetOps within 1-1.5 years through cost savings, reduced downtime, and improved operations.
On average, we're saving about 10 to 15 hours per project.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
It can save you the cost of the product by reducing expenses and downtimes in 12 to 18 months.
Principal Presale Consultant at Ness Technologies
 

Customer Service

Sentiment score
7.5
DataRobot excels in customer service and scalability, but could improve response speed and documentation for large datasets.
Sentiment score
7.2
Customer service quality for DX NetOps varies, with recent improvements and notable US team support, but response times fluctuate.
They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
Creating a support case based on priority allows for immediate responses.
Senior Program Manager at Tata Consultancy Services
Everything about DX NetOps is perfect, including the interface, technical support, and pricing.
Customer Success Intern at a tech services company with 1,001-5,000 employees
They are fast, responsive, and have technical expertise.
Senior Consultant at a financial services firm with 5,001-10,000 employees
 

Scalability Issues

Sentiment score
4.6
DataRobot is scalable, integrates easily, automates processes, supports multiple models, and handles large data volumes efficiently.
Sentiment score
6.0
DX NetOps excels in scalability, efficiently managing diverse networks and large-scale operations, making it ideal for extensive network oversight.
The product is very scalable, to the maximum.
Principal Presale Consultant at Ness Technologies
 

Stability Issues

Sentiment score
7.7
DataRobot is praised for stability and reliability, with enhancements improving user satisfaction across diverse analytics scenarios.
Sentiment score
8.2
DX NetOps is praised for its stability, running smoothly without issues and receiving high ratings for dependable performance.
I rate the stability of the product as ten on a scale of one to ten, indicating that it is very stable.
Principal Presale Consultant at Ness Technologies
 

Room For Improvement

DataRobot faces customization, integration, and performance challenges; improved AI support, transparency, and community engagement are needed.
DX NetOps needs better support, UX/UI, enhanced features, integration, AI capabilities, and streamlined systems for improved efficiency.
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
There is a lack of transparency in the models; sometimes it feels like a black box.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
Different communication methods such as agent-based connections, TCP/IP, or secured connections are necessary—features not currently available in DX NetOps and Spectrum.
Senior Program Manager at Tata Consultancy Services
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.
Senior Consultant at a financial services firm with 5,001-10,000 employees
I would particularly like it to integrate with the Symantec portfolio and the Carbon Black portfolio.
Customer Success Intern at a tech services company with 1,001-5,000 employees
 

Setup Cost

<p>DataRobot provides scalable, cost-effective AI solutions with flexible pricing tailored to enterprise needs and usage volume.</p>
DX NetOps offers flexible and often affordable pricing compared to competitors, providing robust capabilities and technical support.
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.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
I think the pricing is expensive.
Senior Consultant at a financial services firm with 5,001-10,000 employees
The licensing cost of DX NetOps is expensive, not very affordable, and on the top of the price range in the market.
Principal Presale Consultant at Ness Technologies
 

Valuable Features

DataRobot automates feature engineering and model testing, enhancing productivity and decision-making with user-friendly, scalable integration.
DX NetOps delivers scalable network monitoring with AI automation, top-notch analytics, and customizable dashboards for advanced visibility and management.
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.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
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.
Principal Presale Consultant at Ness Technologies
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.
Senior Consultant at a financial services firm with 5,001-10,000 employees
The most valuable feature in DX NetOps is the topological view, which is the network topological view.
Senior Program Manager at Tata Consultancy Services
 

Categories and Ranking

DataRobot
Ranking in AIOps
15th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
6
Ranking in other categories
Predictive Analytics (5th), AI Development Platforms (15th), AI Observability (66th), AI Finance & Accounting (4th)
DX NetOps
Ranking in AIOps
19th
Average Rating
8.6
Reviews Sentiment
6.2
Number of Reviews
10
Ranking in other categories
Network Monitoring Software (36th)
 

Mindshare comparison

As of January 2026, in the AIOps category, the mindshare of DataRobot is 1.0%, up from 0.5% compared to the previous year. The mindshare of DX NetOps is 1.4%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps Market Share Distribution
ProductMarket Share (%)
DataRobot1.0%
DX NetOps1.4%
Other97.6%
AIOps
 

Featured Reviews

Naqash Ahmed - PeerSpot reviewer
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
Automation has improved efficiency and decision-making while big data handling and transparency still need work
Aside from the many advantages of DataRobot, I believe there are areas that could be improved based on my experience. There is a lack of transparency in the models; sometimes it feels like a black box. For example, when I uploaded a large data set of about two gigabytes for processing, the time taken was slower than expected. Additionally, the handling of bigger data sets could be better, as it performs extremely well with smaller datasets but can lag with larger ones. The integration with some other tools used in our organization can also be challenging, and more flexibility for custom pre-processing and advanced model tuning would be beneficial. In terms of support and documentation, I believe improvements are needed. For instance, the response time from DataRobot could be quicker, which would be appreciated when we need assistance. The documentation is generally sufficient, but it can be lengthy and could use more real-world examples and step-by-step tutorials for better clarity. Lastly, creating a client community where users can share experiences and solutions might enhance the overall value and learning curve.
Balabrahmam_Chakka - PeerSpot reviewer
Senior Program Manager at Tata Consultancy Services
Has provided topological insights and dashboard-driven network visibility across complex environments
DX NetOps can be improved by expanding its integrations with different tools, as it can currently integrate with Spectrum and other Broadcom products. It would be beneficial to gain integration capabilities with tools such as New Relic or SolarWinds. Integration with DX NetOps occurs through API, which fetches metrics from those tools, and this is currently happening in our area, with DX NetOps receiving data not only from Spectrum but also from New Relic and SolarWinds. DX NetOps could be improved by providing more communication methods beyond SNMP traps to accommodate different private clouds, especially as customers increasingly adopt vendor-specific clouds. For example, Sainsbury's uses SAP cloud, SAS, and Oracle cloud, where monitoring is not currently possible through DX NetOps and Spectrum, which are limited to certain mechanisms. Within the organization, SNMP is usable, but to display metrics from outside the organization, different communication methods such as agent-based connections, TCP/IP, or secured connections are necessary—features not currently available in DX NetOps and Spectrum.
report
Use our free recommendation engine to learn which AIOps solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
12%
Computer Software Company
10%
Retailer
8%
Financial Services Firm
17%
Computer Software Company
12%
Healthcare Company
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

What is your experience regarding pricing and costs for DataRobot?
While pricing falls more under my IT colleagues, from my perspective, the overall experience feels justified. The premium pricing is reasonable for the value provided, and I'd say it's worth the in...
What needs improvement with DataRobot?
Aside from the many advantages of DataRobot, I believe there are areas that could be improved based on my experience. There is a lack of transparency in the models; sometimes it feels like a black ...
What is your primary use case for DataRobot?
My main use case for DataRobot is to perform predictive analysis and automation of machine learning workflows. I use it to quickly build, test, and deploy models without extensive coding. One of th...
What is your experience regarding pricing and costs for DX NetOps?
The pricing is fair for the level of enterprise capability it provides. Proper sizing and planning during deployment helps optimise licensing and overall cost. Anyone adopting it should account for...
What needs improvement with DX NetOps?
I would like DX NetOps to integrate with all Broadcom products in the future to make it closer to a rating of 10. I would particularly like it to integrate with the Symantec portfolio and the Carbo...
What is your primary use case for DX NetOps?
I use DX NetOps for large-scale network monitoring, fault detection, and performance analysis. My work involves evaluating how well it handles distributed environments, event correlation, and proac...
 

Comparisons

 

Overview

 

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Fujitsu
Find out what your peers are saying about DX NetOps vs. DataRobot and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.