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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
8.8
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.
Previously we had five employees doing the entire workflow, and now we can do it with two employees because agents are being used to do the same which was previously being done by the employees.
Advisory Solutions Architect at Dell Technologies
On average, we're saving about 10 to 15 hours per project.
Senior Data Reporting Analyst at University of Bradford
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
8.2
DataRobot's support is praised for its responsiveness and guidance, enhancing user experience despite minor scalability and documentation issues.
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
The DataRobot team was very helpful in answering the questions which the customer had.
Advisory Solutions Architect at Dell Technologies
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
Senior Data Reporting Analyst at University of Bradford
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
6.5
DataRobot scales well but can become costly, leading users to reconsider affordability after initial discount periods.
Sentiment score
6.0
DX NetOps excels in scalability, efficiently managing diverse networks and large-scale operations, making it ideal for extensive network oversight.
DataRobot is very scalable because the customer initially started with two licenses, and now they have around 20 licenses.
Advisory Solutions Architect at Dell Technologies
The product is very scalable, to the maximum.
Principal Presale Consultant at Ness Technologies
 

Stability Issues

Sentiment score
8.0
DataRobot is praised for stability, user satisfaction, and improvements, leading some to prefer it over Amazon SageMaker.
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 needs better integration, dataset handling, customization, model transparency, support, documentation, Python incorporation, generative AI, and pricing.
DX NetOps needs better support, UX/UI, enhanced features, integration, AI capabilities, and streamlined systems for improved efficiency.
If DataRobot also adds those data transformation capabilities, then it will be an end-to-end tool and the customer will not have to procure many tools for doing the ingestion and transformation process.
Advisory Solutions Architect at Dell Technologies
There is a lack of transparency in the models; sometimes it feels like a black box.
Senior Data Reporting Analyst at University of Bradford
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
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

DataRobot's pricing is seen as justified by some but costly for smaller organizations, affecting their purchase decisions.
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 University of Bradford
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 model building and deployment, integrating diverse data sources, enhancing productivity, reducing timelines, and improving decision-making.
DX NetOps delivers scalable network monitoring with AI automation, top-notch analytics, and customizable dashboards for advanced visibility and management.
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
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 University of Bradford
DataRobot has a very good agentic interface where one can actually spin up multiple agents at the click of a mouse and can have multi-agent protocol.
Advisory Solutions Architect at Dell Technologies
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
7.2
Number of Reviews
7
Ranking in other categories
Predictive Analytics (6th), AI Development Platforms (14th), AI Observability (28th), AI Finance & Accounting (8th)
DX NetOps
Ranking in AIOps
17th
Average Rating
8.6
Reviews Sentiment
6.2
Number of Reviews
10
Ranking in other categories
Network Monitoring Software (37th)
 

Mindshare comparison

As of June 2026, in the AIOps category, the mindshare of DataRobot is 1.6%, up from 0.6% compared to the previous year. The mindshare of DX NetOps is 1.8%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps Mindshare Distribution
ProductMindshare (%)
DataRobot1.6%
DX NetOps1.8%
Other96.6%
AIOps
 

Featured Reviews

Naqash Ahmed - PeerSpot reviewer
Senior Data Reporting Analyst at University of Bradford
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
13%
Construction Company
8%
University
7%
Financial Services Firm
18%
Computer Software Company
10%
Construction Company
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

What is your experience regarding pricing and costs for DataRobot?
My experience with pricing, setup cost, and licensing reveals that the price points can be improved and DataRobot is not so cost-effective, especially for smaller organizations.
What needs improvement with DataRobot?
DataRobot can actually be improved by having access to multiple data repositories. It is lacking in the ways in which it ingests data, in which it transforms the data because we need a separate dat...
What is your primary use case for DataRobot?
My main use case for DataRobot is to give an agentic AI flavor to my different customers because many of my customers are looking for a consumption tool when they are looking to implement GenAI in ...
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: April 2026.
896,942 professionals have used our research since 2012.