DataRobot vs Dynatrace comparison

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DataRobot

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 16, 2024

Dynatrace and DataRobot offer distinct solutions for tech buyers. While Dynatrace excels in certain areas, DataRobot stands out for its comprehensive features, which users consider worth the investment.

Features: Dynatrace users appreciate its robust monitoring, automation capabilities, and suitability for enterprise environments. DataRobot users value its machine learning automation, ease of use, and strong analytics. Despite strong features from both, DataRobot’s advanced machine learning automation gives it an edge.

Room for Improvement: Users of Dynatrace suggest enhancements in reporting, usability, and integration capabilities. DataRobot users desire improvements in integration capabilities, the cost-effectiveness of the enterprise version, and better data visualization. Emphasis on better integrations gives DataRobot more to work on compared to Dynatrace’s need for usability tweaks.

Ease of Deployment and Customer Service: User reviews indicate Dynatrace provides a straightforward deployment process with effective customer support. DataRobot offers a smooth deployment experience but has mixed reviews regarding ongoing support quality. Dynatrace’s consistent customer service reputation affords it a slight edge in deployment and support.

Pricing and ROI: Dynatrace incurs higher initial setup costs but is recognized for delivering substantial ROI over time. DataRobot is noted for its valuable ROI, which justifies its cost, but users find the initial pricing steep. Although both promise good ROI, Dynatrace's ease of justifying its cost gives it a pricing advantage.

To learn more, read our detailed DataRobot vs. Dynatrace Report (Updated: September 2025).

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DataRobot vs. Dynatrace

September 2025

Helped 869,202 peers since 2012

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

Ranking in other categories

Predictive Analytics (5th), AI Development Platforms (14th)

Dynatrace

Ranking in AIOps

2nd

Average Rating

8.8

Reviews Sentiment

7.2

Number of Reviews

350

Ranking in other categories

Application Performance Monitoring (APM) and Observability (2nd), Log Management (5th), Mobile APM (2nd), Container Monitoring (1st)

Mindshare comparison

As of October 2025, in the AIOps category, the mindshare of DataRobot is 0.5%, up from 0.5% compared to the previous year. The mindshare of Dynatrace is 20.8%, down from 25.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AIOps Market Share Distribution
Product	Market Share (%)
Dynatrace	20.8%
DataRobot	0.5%
Other	78.7%

AIOps

Featured Reviews

SagarYadav

Staff Specialist Data Scientist at BMC Software, Inc.

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.

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Anand_Kumar

Enterprise Architect at DXC Technology

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.

Read full review

Quotes from Members

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

Pros

"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 can be easy to use."

"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 have been capturing all the information and evaluating whether it can be improved or not."

"I think with Dynatrace, it has helped to bring value to the business because now we can speak using the same language."

"Being able to get down to the individual code level to see where transactions are taking time. It has helped troubleshoot issues immensely and other tools can't provide this."

"End-to-end visibility of the applications, since we have them instrumented. Understanding where the hotspots are in the applications."

"The Dashboard is very useful, as you can monitor different parameters on the same screen."

"Our development group has started using Dynatrace extensively. It helps them find bottlenecks caused by code."

"We have identified and solved "mystery" issues that we have experienced for a long time, including sporadic latency issues on storage volumes and SQL databases not scaling properly when under certain loads."

"Dynatrace alerts are based on deviations from the reference metrics which are constantly collected."

More Dynatrace pros

Cons

"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."

"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."

"There are some performance issues."

"The integration between the web monitoring of Dynatrace and OneAgent. "

"The business use case is that most people want to see how many orders came in. I'd like to be able to get data out of JavaScript tags, and capture more data. I think that would make it much more useful, rather than using Google Analytics. Instead, have one tool to capture all the stack, that would make it easy."

"On the one hand we have Dynatrace, on the other hand, we have AppMon. We know Dynatrace is more powerful, with a lot of functions, but there are some core functions AppMon has that Dynatrace needs. Our main use is AppMon and we have not gone to Dynatrace because we don't have those specific functions that we need."

"Dynatrace stands out, but it is a bit complex to understand and implement on servers."

"Graphically, it is not good."

"I'd really like to see more dashboarding abilities. The ability to do workflows within dashboards, being able to start at a high level and click into it with custom dashboards. I think most of the time, we are creating our own custom dashboards, and I'd just like to see more ability with that."

"For the user, for the customer, they expect a solution to be not so expensive."

"I think they're working on even more integration from external third party input, but that is ongoing. So the faster it's there the better. Clock monitoring is one of these areas where improvements can be made."

More Dynatrace cons

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."

"Purchasing through the AWS Marketplace was a pretty straightforward process. We had no hiccups."

"Dynatrace is the most expensive APM that we sell, compared to competitors' products. The license pricing could be improved. My customers pay for licensing yearly."

"If there are no corporate requirements to run Dynatrace Managed (operating it yourself), I would definitely go for the size option. For small and medium-sized companies, the size option is probably the cheapest one. You don't need to look into operating it. You don't need to run hardware. It is pay as you go."

"Look at the product and the product features, not the price. Too often people look at the price and turn away. Dynatrace costs a little bit more than the other products I researched, but it can do far more."

"We found a tool that can be utilized by testing, DevOps, marketing, software engineering, and monitoring. Before, we always had everybody doing their own thing. Now, everybody's utilizing one tool, which is huge. That is a huge savings."

"Everything is great, but the licensing could always be cheaper. With the every growing tool set of Ops teams, we find it harder to budget for tooling while ensuring we still have the proper insight into our applications."

"The product is really fast to implement and gives customers instant value. This is important, because it reduces costs on the implementation."

"The price could be improved."

More Dynatrace pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

11%

Computer Software Company

11%

Retailer

Financial Services Firm

24%

Computer Software Company

10%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	77
Midsize Enterprise	50
Large Enterprise	289

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...

Amazon SageMaker vs DataRobot

Comparisons

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Compared 9% of the time

Microsoft Azure Machine Learning Studio vs DataRobot

Compared 8% of the time

IBM Watson Machine Learning vs DataRobot

Compared 8% of the time

Altair RapidMiner vs DataRobot

Compared 7% of the time

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Datadog vs Dynatrace

Compared 11% of the time

Splunk Enterprise Security vs Dynatrace

Compared 6% of the time

Splunk AppDynamics vs Dynatrace

Compared 5% of the time

New Relic vs Dynatrace

Compared 5% of the time

Azure Monitor vs Dynatrace

Compared 5% of the time

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Product Reports

Download DataRobot product report

Predictive Analytics

September 2025

Download Dynatrace product report

October 2025

Overview

DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.

DataRobot

Dynatrace is an AI-powered software intelligence monitoring platform that accelerates digital transformation and simplifies cloud complexities. Dynatrace is an entirely automated full-stack solution that provides data and answers about the performance of your applications and deep insight into every transaction throughout every application, including the end-user experience. By modernizing and automating enterprise cloud operations, users can deliver an optimal digital experience with higher quality software to customers faster.

Dynatrace offers an all-in-one automated artificial intelligence solution that brings together application performance, cloud and infrastructure, and digital experience monitoring. Dynatrace accelerates performance-driven results through operations, development, and business teams with a shared metrics platform. In addition, users are provided a full-stack monitoring experience with three patented technologies:

Smartscape - visualization mechanism that maps the totality of everything working in your environment and detects any casual dependencies between your applications, processes, websites, services, hosts, cloud infrastructure, and networks.
OneAgent - a technology that analyzes, gathers ,and unifies all business performance metrics throughout every layer of your technology stack.
PurePath Technology - code-level context and timings are captured from the mainframe to the cloud for all end-to-end transactions.

What does Dynatrace offer?

Dynatrace redefines how organizations monitor their digital ecosystems. The solution offers:

Cloud Automation: With AI engine Davis®, users can see the exact reason for problems and facilitate quick auto-remediation and intelligent cloud orchestration.
Application Security: With automated application vulnerability management, users can deliver applications faster and more securely.
Infrastructure Monitoring: Convenient broad visibility across your environments is provided with streamlined, automated infrastructure monitoring.
Digital Experience Monitoring (DEM): Optimize your applications, provide better support, and improve user experience with a combination of Real User Monitoring (RUM), Session Replay, and synthetic monitoring throughout your environment.
Applications and Microservices: For complex cloud environments, Dynatrace can automatically provide visibility and root-cause answers. It can also monitor microservices.
Digital Business Analytics: Get AI-powered, real-time answers to analytical business queries with KPIs and metrics that are already flowing through applications.

Reviews from Real Users

Dynatrace is the only solution that provides answers to organizations based on deep insight into each user, transaction, and organization's environment.

Barry P., a managing performance engineer at Medica Health Plans, writes, "With Dynatrace, we have synthetic checks and real-user monitoring of all of our websites, places where members and providers can interact with us over the web. We monitor the response times of those with Dynatrace, and it's all integrated into one place."

A consultant at a tech service company notes, "A feature that's one of the highlights of Dynatrace is the AI. The second most valuable feature is OneAgent. Between infrastructures, applications, operating systems, you can deploy with just a single agent and can practically install and forget about it."

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