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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:
 

Categories and Ranking

DataRobot
Ranking in AIOps
16th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
Predictive Analytics (5th), AI Development Platforms (12th)
DX NetOps
Ranking in AIOps
17th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
7
Ranking in other categories
Network Monitoring Software (44th)
 

Mindshare comparison

As of April 2025, in the AIOps category, the mindshare of DataRobot is 0.6%, up from 0.2% compared to the previous year. The mindshare of DX NetOps is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps
 

Featured Reviews

SagarYadav - PeerSpot reviewer
Automating model comparison speeds up development and reduces timelines
DataRobot is equipped with a GUI-based approach that simplifies the process of feature engineering and model training. It provides AutoML capabilities, which allow for comparing thousands of models and selecting the best-suited one based on business requirements. By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
Mark Tukh - PeerSpot reviewer
Leverages comprehensive network monitoring and AI-driven automation for enhanced performance analysis
There is a model for network traffic analysis in the NetOps product called NetOps Flow Analyzer. It provides all the necessary protocols and analysis. DX NetOps supports network monitoring across hybrid environments, though I hope it works out of the box. 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.

Quotes from Members

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

Pros

"DataRobot is highly automated, allowing data scientists to build models easily."
"It's easy to do MLOps operations. It's a lot easier to manage jobs and see the logs if there's any drift in a model."
"DataRobot can be easy to use."
"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."
"We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."
"I like that it provides an overall view of our network. From the topology view to every event, we can view it. We can also see the interface utilization for future capacity planning. It fits our use case and environment."
"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 AI is the best feature in this solution."
"The solution is stable."
"I rate the stability of the product as ten on a scale of one to ten, indicating that it is very stable."
"A highly scalable solution."
"It's good for root cause analysis for network problems and network link problems."
"It is straightforward to configure, and you can quickly gather data from your infrastructure."
 

Cons

"There are some performance issues."
"DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality."
"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."
"If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."
"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum."
"Lacks dashboards and better integration with other solutions."
"One improvement that could make the product better is to streamline its modules into a more cohesive solution."
"Technical support could be more responsive."
"The licensing cost of DX NetOps is expensive, not very affordable, and on the top of the price range in the market."
"Technical support needs to be better. They need to be more knowledgeable and responsive."
"The hardware requirements can be improved."
"It would be better if they had an NFA network analysis feature. We appreciate features like extended network security for bucket flows, but it would be better to have some IDs, IPS functionalities, DDoS, or something like that."
"It would be useful to have more AI features."
 

Pricing and Cost Advice

"We dropped the plan to use DataRobot, because we found the pricing to be on the higher sise. We liked DataRobot a lot, but due to the pricing, we dropped that idea."
"The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available."
Information not available
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Top Industries

By visitors reading reviews
Educational Organization
20%
Financial Services Firm
13%
Manufacturing Company
8%
Computer Software Company
8%
Financial Services Firm
16%
Computer Software Company
12%
Manufacturing Company
10%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with DataRobot?
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality.
What is your primary use case for DataRobot?
In our day-to-day use, I utilize DataRobot to speed up our development process through its GUI capability. Once I set up our connection with a back-end data set, whatever the project I work on next...
What advice do you have for others considering DataRobot?
I would recommend DataRobot because if there is something not included in the UI, I have the freedom to use its Python API, which extends the capability for different use cases. Additionally, I wou...
What do you like most about DX NetOps?
It is straightforward to configure, and you can quickly gather data from your infrastructure.
What is your experience regarding pricing and costs for DX NetOps?
The licensing cost of DX NetOps is expensive, not very affordable, and on the top of the price range in the market. However, there are no extra expenses in addition to the standard licensing fee.
What needs improvement with DX NetOps?
It would be useful to have more AI features.
 

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: March 2025.
847,959 professionals have used our research since 2012.