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DataRobot vs Dynatrace 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)
Dynatrace
Ranking in AIOps
2nd
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
346
Ranking in other categories
Application Performance Monitoring (APM) and Observability (2nd), Log Management (5th), Mobile APM (1st), Container Monitoring (2nd)
 

Mindshare comparison

As of May 2025, in the AIOps category, the mindshare of DataRobot is 0.6%, up from 0.2% compared to the previous year. The mindshare of Dynatrace is 23.8%, down from 27.8% 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.
Anand_Kumar - PeerSpot reviewer
Provides a comprehensive view by integrating with other monitoring systems
There may be an issue since there are many tools like Splunk involved in network monitoring. From an IP perspective, Dynatrace is performing well. If they want to develop in network monitoring, they can, as it's part of their product line. It's not rocketry, so they can accomplish it. If I, as an SI, look at it from an enterprise perspective, considering the cost from the client, I prefer not to go with multiple systems, as they don't provide a complete 360-degree view. They need to improve on claims about being an enterprise system. The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.

Quotes from Members

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

Pros

"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."
"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."
"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."
"DataRobot is highly automated, allowing data scientists to build models easily."
"It is limitless when it comes down to being able to scale up or even scale back, if we need it to."
"You can always get in touch with support representatives and the developers if you want to, and you can get the solution directly from them. They are good about giving customer service, which I really like."
"Finally, we have 100% visibility on website performance, including third-party sources."
"Dynatrace's power lies in its ability to inspect and chart transactions, and draw the PurePath tree. The parameters of the requests and methods can be selected to access the necessary information for efficient analysis."
"We are able to get insights into our systems, which previously took us weeks to be able to detect."
"We like the user's experience piece: being able to see, from the browser perspective, the user's behavior; being able to answer questions from our customers about why such and such happened, why the performance was slow, why we had an error."
"I am able to customize my dashboard based on the test requirement and it helps me to focus on the area that really needs close monitoring."
"It helps DevOps find all its problems easily and analyzes performance problems."
 

Cons

"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."
"There are some performance issues."
"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."
"They're doing vulnerability assessments of the application stack by using OneAgent. It's a never-ending story if you are trying to be sure your application is also secure."
"Due to the fact that you doing a lot, you have a problem with the learning curve. We're really looking for ways to make this product more accessible."
"In the new Dynatrace solution, support for legacy applications is still not there. ​"
"We have a very stringent budget for an infrastructure solution. Maybe if they provided modules, a simple module with fewer features and a lower price, that would be very good."
"If you want to see a month's data, it keeps on spinning. Here is an improvement which needs to happen, which is the case with all applications or tools. There is a lot of data, and either we have to change the way we are logging or the application needs to be enhanced."
"If we can gain more insight into older applications, using not-so-recent technologies, then it would be a plus."
"We have had to resolve a lot of things and had a lot of issues with the tool.​"
"Because we are financial, there are certain things that we cannot put on the cloud. However, that is a given fact, not only for us. It is a given fact for any financial company because of PCI compliance. Because of PCI compliance, companies don't take the risk of putting data in the cloud."
 

Pricing and Cost Advice

"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."
"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."
"​Do a PoC and see if you like it."
"The solution is not cheap."
"We asked for a three-year license, and the price was quite good."
"​A Dynatrace partner will always be willing to give you a trial. Go through the trial to see if there is a benefit for your company."
"Its price is quite high. Although it is worth it, it would be better if its price is reduced. They base their prices around licensing. Their prices are based on agent licensing and consumption licensing. Both of these can be a bit cheaper, but if they are the best in the market, as I consider them to be, I assume that their prices will be higher. They are delivering the product for that price."
"The pricing and licensing are very expensive."
"There is a license cost, which is obviously more expensive than an open-source solution, but for the return on investment from what you get from it, it's a great investment. Of course, it could always be cheaper."
"It's more expensive than other solutions, but worth it. We use full APM monitoring on our primary systems, but only resource monitoring on lesser systems. We shift licenses around our environment when a deeper dive into lesser systems is required."
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Top Industries

By visitors reading reviews
Educational Organization
19%
Financial Services Firm
13%
Manufacturing Company
8%
Computer Software Company
8%
Educational Organization
36%
Financial Services Firm
17%
Computer Software Company
7%
Manufacturing Company
6%
 

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...
Any advice about APM solutions?
The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if you need to monitor applications end to end. I have tested them all and have not f...
What cloud monitoring software did you choose and why?
While the environment does matter in the selection of an APM tool, I prefer to use Dynatrace to manage the entire stack. Both production and Dev/Test. I find it to be quite superior to anything els...
Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
 

Comparisons

 

Overview

 

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express
Find out what your peers are saying about DataRobot vs. Dynatrace and other solutions. Updated: April 2025.
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