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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:
 

ROI

Sentiment score
9.1
DataRobot enhanced prediction accuracy, reduced analysis time, simplified processes, and improved efficiency, leading to better decisions and cost savings.
Sentiment score
6.9
Dynatrace boosts ROI by streamlining troubleshooting, enhancing app stability, improving customer satisfaction, and allowing innovation over maintenance.
On average, we're saving about 10 to 15 hours per project.
Senior Data Reporting Analyst at University of Bradford
I have seen a return on investment, specifically with increased data science productivity by four times, time saved with deploying models, and homogeneous analysis models developed easily.
Senior Java Software Engineer at GE
Using Dynatrace directly improved application uptime and reduced customer impacting incidents.
senior DevOps engineer at a tech services company with 10,001+ employees
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
Enterprise Architect at DXC Technology
Save money by identifying problems, thereby reducing monetary losses on their application side.
Technical Manager, Consulting at a outsourcing company with 1,001-5,000 employees
 

Customer Service

Sentiment score
8.1
DataRobot offers strong support and scalability but needs faster responses and better documentation for optimal user empowerment.
Sentiment score
7.1
Dynatrace customer service is generally responsive and knowledgeable, but experiences vary in efficiency and problem-solving speed.
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
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
Senior Data Reporting Analyst at University of Bradford
The customer support from DataRobot is proactive and responsive.
Senior Java Software Engineer at GE
They have a good reputation, and the support is commendable.
Enterprise Architect at DXC Technology
The technical support from Dynatrace is excellent.
System Administrator at a manufacturing company with 10,001+ employees
Whenever we faced any issues, we could get timely resolution from their support.
senior DevOps engineer at a tech services company with 10,001+ employees
 

Scalability Issues

Sentiment score
5.8
DataRobot is scalable, integrates easily, automates processes, supports multiple models, and handles large data volumes efficiently.
Sentiment score
7.2
Dynatrace efficiently manages scalability in diverse environments, enabling smooth growth and deployment with minimal constraints despite some resource challenges.
DataRobot's scalability is very strong and grows with my organization's needs.
Senior Java Software Engineer at GE
If it's an enterprise, increasing the number of instances doesn’t pose problems.
Enterprise Architect at DXC Technology
It is a powerful tool and helped us to reduce customer downtime and increase work efficiency.
senior DevOps engineer at a tech services company with 10,001+ employees
The scalability of Dynatrace is very significant, especially considering the current improvements in their features.
Technical Manager, Consulting at a outsourcing company with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.9
DataRobot is praised for stability and reliability in edge analytics, improving consistently without significant issues during adjustments.
Sentiment score
7.6
Dynatrace is praised for stability and reliability, with recent improvements resolving past issues and offering smooth performance.
DataRobot is very stable.
Senior Java Software Engineer at GE
Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic.
Enterprise Architect at DXC Technology
There have been no stability issues with Dynatrace.
System Administrator at a manufacturing company with 10,001+ employees
Dynatrace is a SaaS product with frequent agent management updates.
Principal Consultant at a tech consulting company with 11-50 employees
 

Room For Improvement

DataRobot users seek integration with AI tools, improved performance, better support, pricing, and enhanced UI for customization.
Dynatrace requires improved usability, integration, pricing clarity, and enhanced monitoring features to address user feedback on complexity and support.
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
There is a lack of transparency in the models; sometimes it feels like a black box.
Senior Data Reporting Analyst at University of Bradford
Another improvement that DataRobot needs is integrating the capability to modify the whole pipeline with Python.
Senior Java Software Engineer at GE
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.
Enterprise Architect at DXC Technology
Dynatrace could enhance cost and licensing structures, as the current pricing can be expensive for large-scale deployments.
BizOps Engineer at a tech company with 10,001+ employees
I'm specifically looking at AIOps and how we can monitor AIOps-related things, considering we have LLMs and all that stuff.
Performance Architect at a tech vendor with 5,001-10,000 employees
 

Setup Cost

Opinions on DataRobot's $65,000 pricing vary; some find it competitive, while others see it as too costly.
Dynatrace offers high value with advanced features and scalability, justifying its high price for enterprises with substantial IT infrastructure.
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
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.
Senior Java Software Engineer at GE
Dynatrace is known to be costly, which delayed its integration into our system.
System Administrator at a manufacturing company with 10,001+ employees
If setting up in a large scale environment, it is overwhelming because it is expensive.
senior DevOps engineer at a tech services company with 10,001+ employees
The cost can be controlled from our side, and it is very transparent with Dynatrace regarding DPS and licensing.
Technical Manager, Consulting at a outsourcing company with 1,001-5,000 employees
 

Valuable Features

DataRobot streamlines MLOps by automating modeling, deployment, and monitoring, enhancing productivity and decision-making with efficient cloud integration.
Dynatrace offers comprehensive monitoring with AI-driven insights, automatic alerts, and easy cloud integration for optimal operational efficiency.
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
When business leaders ask for the fastest possible solution, DataRobot is our go-to platform.
Senior Java Software Engineer at GE
The integration with Power BI for generating detailed reports is a standout feature.
System Administrator at a manufacturing company with 10,001+ employees
Dynatrace's AI-driven Davis engine absolutely helps identify performance issues by showing root cause analysis for us up to 200%; whatever is integrated, if it is visible, it can stitch and show.
Technical Associate at a manufacturing company with 10,001+ employees
Dynatrace links compute with services and services with code and other components.
Principal Consultant at a tech consulting company with 11-50 employees
 

Categories and Ranking

DataRobot
Ranking in AIOps
15th
Ranking in AI Observability
72nd
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
Predictive Analytics (5th), AI Development Platforms (15th), AI Finance & Accounting (7th)
Dynatrace
Ranking in AIOps
2nd
Ranking in AI Observability
3rd
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
359
Ranking in other categories
Application Performance Monitoring (APM) and Observability (2nd), Log Management (5th), Mobile APM (2nd), Container Monitoring (2nd)
 

Mindshare comparison

As of March 2026, in the AIOps category, the mindshare of DataRobot is 1.1%, up from 0.6% compared to the previous year. The mindshare of Dynatrace is 15.4%, down from 23.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps Mindshare Distribution
ProductMindshare (%)
Dynatrace15.4%
DataRobot1.1%
Other83.5%
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.
Manish Indupuri - PeerSpot reviewer
senior DevOps engineer at a tech services company with 10,001+ employees
AI-driven insights have reduced downtime and improved cross-team collaboration
We encountered some challenges while using Dynatrace. Although the initial setup was smooth, fine-tuning alert thresholds and custom metrics took some time. Another challenge was that Dynatrace charges based on host units, so we had to carefully plan our agent deployments. The licensing model is expensive. Additionally, the complexity of setup is an issue. While OneAgent and auto-discover services are powerful, the setup is more complex compared to other tools such as Prometheus and Grafana. These integrations are simple and basic, but Dynatrace setup requires more complexity based on the environment. For new users wanting to use Dynatrace, it is difficult. However, the AI-related solutions and metrics took us to the next level for identifying and fixing things. Dynatrace requires an agent for operation. OneAgent is powerful, but it is also resource-heavy. On lightweight nodes or older systems, the agent can slightly impact performance. If Dynatrace could implement a lightweight agent behavior, we could make things faster. Additionally, if Dynatrace could add a long-term retention policy so that we could store more data and find fine-grained details, that would help us. While Dynatrace managed edition supports on-premises deployment, the SaaS version depends on cloud connectivity. For highly regulated or air-gapped environments, setup and updates can be challenging. Although the initial setup is smooth, if someone wants to fine-tune it and fully understand the tool end-to-end, it could be tricky.
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Top Industries

By visitors reading reviews
Manufacturing Company
13%
Financial Services Firm
13%
Educational Organization
9%
Construction Company
8%
Financial Services Firm
21%
Manufacturing Company
8%
Computer Software Company
7%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise50
Large Enterprise299
 

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?
To improve DataRobot, I suggest enhancing model accuracy metrics and improving automation. The price points can also be improved. Another improvement that DataRobot needs is integrating the capabil...
What is your primary use case for DataRobot?
DataRobot serves as our data science platform for building machine learning models and the development environment for running models. We also use the best practice processes and governance that Da...
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: February 2026.
885,311 professionals have used our research since 2012.