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DataRobot vs UiPath Platform comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.3
UiPath Platform users saw varied ROI, with many experiencing significant time and cost savings through enhanced productivity and efficiency.
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
It has saved about 20% to 30% of costs.
Governance Director at Diyar United Company
We have seen a 100% return on investment.
Software Engineer at university of southern california
UiPath has reduced human error and saved employee time.
Developer at a manufacturing company with 10,001+ 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
7.0
UiPath Platform's customer service varies; some praise quick, helpful support while others face delays, especially with complex issues.
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 were very helpful, addressing the issue in three hours.
Consultor at Visagio
Even though they are external, I can ping them on Slack and I get a response right away, so they really make it very accessible to be in touch.
Senior Finance Manager at a retailer with 5,001-10,000 employees
He works through whatever unique internal environment scenarios we have to overcome to make sure that it's doing exactly what we need, even though we're constantly having new security measures to implement on top of it.
Senior Manager, Tools & Automation at a tech vendor 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
7.6
UiPath Platform efficiently scales for varying needs with strong AI, integration, and adaptability across cloud environments and businesses.
DataRobot's scalability is very strong and grows with my organization's needs.
Senior Java Software Engineer at GE
The solution is capable of scaling with just a few clicks.
Hyper Automation Practice Head | RPA Manager at a tech services company with 11-50 employees
The scalability of the UiPath Platform rates a ten out of ten.
Application Architect / Project Manager at KNDS France
From a technical standpoint, it's essential to make the right technical decisions and design a scalable solution.
Solutions Architect at a tech services company with 11-50 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
7.3
UiPath Platform is widely regarded as stable and reliable, with responsive support despite occasional minor issues.
DataRobot is very stable.
Senior Java Software Engineer at GE
Overall, there was only one instance of downtime in four years, which did not create any significant impact.
Senior Business Analyst at a healthcare company with 1,001-5,000 employees
I have not experienced any downtime, crashes, or performance issues.
Senior Manager, Information Technology at Autodesk, Inc.
Over six years, we have created zero support cases with UiPath.
Director, Applications at a retailer with 10,001+ employees
 

Room For Improvement

DataRobot users seek integration with AI tools, improved performance, better support, pricing, and enhanced UI for customization.
UiPath users criticize its stability, pricing, complex licensing, learning curve, AI integration, and seek improved performance 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
Adding more AI could help in small tasks that require intelligence or machine learning, leading to the next stage of automation.
Governance Director at Diyar United Company
If the UI changes or a label is changed, sometimes the whole flow breaks.
Student at a university with 1,001-5,000 employees
Regarding additional functionality for UiPath, I believe that additional features will only come into play when you start talking to the customers, accept feedback, and work on it.
Team lead at a manufacturing company with 10,001+ employees
 

Setup Cost

Opinions on DataRobot's $65,000 pricing vary; some find it competitive, while others see it as too costly.
UiPath Platform offers robust features with costly enterprise licensing, but Community Edition provides a free entry point.
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
Most of the UiPath products are priced higher than competitors.
Developer at a manufacturing company with 10,001+ employees
The cost can be a barrier in Hungary, making it difficult for me to persuade others to invest, especially when unattended robots come at a significant price point.
RPA Developer at a consultancy with 11-50 employees
When compared to competition, such as Microsoft's Power Automate platform or IBM Cloud Pak, UiPath is expensive.
Solutions Head of Software at Raya Integration
 

Valuable Features

DataRobot streamlines MLOps by automating modeling, deployment, and monitoring, enhancing productivity and decision-making with efficient cloud integration.
UiPath Platform offers intuitive low-code automation, seamless integration, efficient bot management, AI features, and extensive training resources.
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 tool has a noticeable ROI, and the investment is worth every penny as it reduces tedious tasks and improves scalability.
Governance Director at Diyar United Company
Our use of automation sped up the process of getting paid from insurance companies, saving us substantial amounts of money.
Software Engineer at university of southern california
Whenever they release a product, they also release a course in UiPath Academy. So, you can get familiarized with the product and understand the new capabilities.
Developer at a manufacturing company with 10,001+ employees
 

Categories and Ranking

DataRobot
Ranking in AI Finance & Accounting
7th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
Predictive Analytics (5th), AI Development Platforms (15th), AIOps (15th), AI Observability (72nd)
UiPath Platform
Ranking in AI Finance & Accounting
2nd
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
914
Ranking in other categories
Robotic Process Automation (RPA) (1st), Agentic Automation (2nd), AI-Agent Builders (1st), Business Orchestration and Automation Technologies (1st)
 

Mindshare comparison

As of March 2026, in the AI Finance & Accounting category, the mindshare of DataRobot is 1.7%. The mindshare of UiPath Platform is 14.8%, down from 50.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Finance & Accounting Mindshare Distribution
ProductMindshare (%)
UiPath Platform14.8%
DataRobot1.7%
Other83.5%
AI Finance & Accounting
 

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.
reviewer2761431 - PeerSpot reviewer
Manager Rpa at a retailer with 10,001+ employees
Significantly reduces manual effort and improves team workflows through automated ticketing
We've used Agent Builder, IXP, and Maestro for orchestration. We have created context-grounded searches or chatbots using context grounding, and we also use context grounding within an Agentic flow where a bot or agent reads ServiceNow tickets to determine whether it has been assigned to the right work group. If it has not been assigned correctly due to human error, it automatically reassigns it to the right group. I would assess Agentic AI's ability to extract data points as effective. We created an agent for the purpose of extracting data, though not in a document. We created what we call an email conversation agent that engages with a customer, vendor, or someone in an email conversation with a set goal of extracting specific data points for an action to be performed subsequently. The one automation we have deployed in production involves the agent interacting with team members to collect data points and create a ServiceNow ticket. We appreciate almost all features of UiPath Platform, with one of the most successful ones being the use of Coms Mining. Most of the new features related to AI have all been good, and we use Agentic. We have already created a few agents and have started to use Maestro for a few flows, though we are not yet there to orchestrate an end-to-end workflow. We have good ROI from the automations we have developed with UiPath Platform, which far exceeds the investment in the platform. It has saved us tens of thousands of hours in manual effort, making the team members happy to pursue other things of value.
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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
10%
Manufacturing Company
10%
Computer Software Company
8%
Marketing Services Firm
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 Business250
Midsize Enterprise143
Large Enterprise669
 

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...
Best RPA tools for IBM iSeries
I can only speak to UiPath since that is the only RPA solution that I have used. I know that there are specific packages that you can integrate into your project that is specifically made to work w...
RPA that Bots can run without centralized control?
Yes, Attended Bots which can run without centralized control Module. RPA Tools like Automation Anywhere, uiPath ,Power Automation they do support this.
How do I choose between UiPath and Microsoft Power Automate?
Microsoft‌ ‌Power‌ ‌Automate‌ ‌is‌ ‌intuitive‌ ‌and‌ ‌easy‌ ‌to‌ ‌integrate‌ ‌and‌ ‌use.‌ ‌I‌ ‌like‌ ‌that‌ ‌there‌ ‌is‌ ‌no‌ ‌coding‌ ‌experience‌ ‌necessary,‌ ‌and‌ ‌appreciate‌ ‌the‌ ‌automated‌...
 

Also Known As

No data available
UiPath Maestro, UiPath Apps, UiPath Agent Builder
 

Overview

 

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
1. Accenture 2. Deloitte 3. PwC 4. IBM 5. Capgemini 6. KPMG 7. Ernst & Young 8. Infosys 9. Cognizant 10. Wipro 11. Tata Consultancy Services 12. HCL Technologies 13. Genpact 14. Tech Mahindra 15. DXC Technology 16. Atos 17. NTT Data 18. CGI 19. L&T Infotech 20. Hexaware Technologies 21. Mindtree 22. Mphasis 23. Virtusa 24. Syntel 25. Zensar Technologies 26. WNS Global Services 27. Hexaware Technologies 28. Larsen & Toubro Infotech 29. Persistent Systems 30. QuEST Global 31. Sonata Software 32. Zensar Technologies
Find out what your peers are saying about DataRobot vs. UiPath Platform and other solutions. Updated: February 2026.
885,311 professionals have used our research since 2012.