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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
345
Ranking in other categories
Application Performance Monitoring (APM) and Observability (2nd), Log Management (5th), Mobile APM (1st), Container Monitoring (2nd)
 

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 Dynatrace is 24.1%, down from 27.7% 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 is highly automated, allowing data scientists to build models easily."
"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."
"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."
"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."
"The most valuable features are end user visibility, Smartscape, and the entire visibility of our data center, including SQL queries."
"Stability has been very nice, and Dynatrace runs on the Linux system."
"It gives more visibility into all the coding (the black screen). It gives a nice screen. You can see ups and downs. You can see where the traffic is getting impacted, more on the convergence side."
"I am primarily doing DC RUM, so on that side there are a lot of awesome abilities where people who can't implement an agent are able to still monitor a lot of their apps and decodes."
"Dynatrace is heavily automated which is a big advantage. You don't have to configure a lot, it installs and it runs straight away. There's direct return on investment and you can focus on more interesting stuff than always have to configure and change the configurations. Issues or problems in detection is also fully automated, which is great."
"Using that telemetry from Dynatrace, we are able to pinpoint what our performance issues are so we can tune the system."
"We use it for monitoring all the applications in our bank, and it works fantastically."
 

Cons

"There are some performance issues."
"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."
"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."
"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."
"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."
"It could improve its GUI interface. The GUI design is too crowded and the icons are small. Sometimes I end up clicking on the wrong button."
"Dynatrace must reduce the required resources for on-premise, because they are too high."
"This solution could be improved with better compatibility with legacy applications."
"Include network monitoring in more detail for deep dive analytics of network components."
"Custom reporting capabilities should be extended, because it now has basic charting capabilities."
"The solution's ability to assess the severity of anomalies based on the actual impact to users and business KPIs is great. In my opinion, it could be extended even more. I would like it to be more configurable for the end-user. It would be nice to have more business rules applicable to the severity. It's already very good as it is now. It is based on the impact on your front-end users. But it would be nice if we could configure it a bit more."
"For the manage services, they work on CloudWatch logs and are given CloudWatch logs only. I would like more collaboration with AWS and insight into CloudWatch services. This would be valuable, especially when detecting the fault of the root cause analysis. It would make the process go faster."
"There is still a bit of redundancy in Dynatrace."
 

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."
"It is quite expensive for startups."
"Price (of the product) is a major concern for all the clients I work with."
"​I would recommend doing a PoC."
"There are additional Professional Services costs which ensure the solution is configured with meaningful names so you're getting the most money for your investment."
"Licensing is a bit complicated for Dynatrace, and pricing is dependent on how much your organization invests."
"We purchased a subscription for one year and it is an expensive solution for a large enterprise like ours."
"Financially Dynatrace was a lot more expensive than AppDynamics."
"Dynatrace's pricing for their consumption units is rather arcane compared to some of the other tools, thus making forward-looking calculations based on capacity planning quite hard."
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Top Industries

By visitors reading reviews
Educational Organization
20%
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: March 2025.
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