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Alteryx vs DataRobot comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 2025

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
6.6
Alteryx offers quick ROI through reduced data prep time and increased efficiency, despite high licensing costs.
Sentiment score
8.6
DataRobot saves $2 million annually by automating processes, boosting productivity fourfold, and reducing ML engineer requirements.
Tasks that earlier took hours in Excel or SQL are now completed in minutes.
Senior Rpa Consultant at a computer software company with 51-200 employees
From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
Chief Information Officer at granistr
Previously we had five employees doing the entire workflow, and now we can do it with two employees because agents are being used to do the same which was previously being done by the employees.
Advisory Solutions Architect at Dell Technologies
For team productivity, a single ML engineer using DataRobot is equivalent to five to ten traditional ML engineers.
Senior Data Engineer at LTM
On average, we're saving about 10 to 15 hours per project.
Senior Data Reporting Analyst at University of Bradford
 

Customer Service

Sentiment score
7.1
Alteryx offers responsive service; technical support is knowledgeable, but users often rely on community forums for solutions.
Sentiment score
8.3
DataRobot excels in customer service with 24/7 support, tailored assistance, and educational resources, despite some suggested improvements.
Customer support from Alteryx has been amazing.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.
Senior Analyst at Guardian India Operation
I contacted customer support once or twice, and they were quick to respond.
Experience Technocrat driving IT initiatives at WISDOMBOWL
If you are paying somewhere between $100,000 to $200,000 annually, you receive a dedicated technical account manager who understands your AWS setup and models, unlike generic ticketing systems.
Senior Data Engineer at LTM
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
 

Scalability Issues

Sentiment score
7.2
Alteryx is scalable for enterprise analytics, but expanding usage can lead to concerns over costs and server requirements.
Sentiment score
7.0
DataRobot efficiently scales for large deployments with extensive data and models, but cost remains a critical consideration.
Alteryx is scalable for most enterprise analytics and data preparation workloads.
Senior Rpa Consultant at a computer software company with 51-200 employees
Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx is scalable, and I would give it eight out of ten.
Experience Technocrat driving IT initiatives at WISDOMBOWL
Scalability is where DataRobot truly excels; it manages to handle millions or even billions of rows using technologies such as Spark and Dask for distributed training.
Senior Data Engineer at LTM
DataRobot is very scalable because the customer initially started with two licenses, and now they have around 20 licenses.
Advisory Solutions Architect at Dell Technologies
DataRobot's scalability is impactful, as it really helps maintain various solutions across different requirements and features.
Quality Engineering Specialist at a consultancy with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.8
Alteryx is highly regarded for its stability, fast data processing, and reliability, despite occasional server or workflow issues.
Sentiment score
8.2
DataRobot's stability, supported by a 99.9% SLA and regular updates, makes it a preferred choice over Amazon SageMaker.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
Software Engineer at a computer software company with 10,001+ employees
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
Legal Coordinator at a transportation company with 10,001+ employees
Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10.
Senior Analyst at Guardian India Operation
Model stability is also reinforced through drift detection and auto-alerts if data changes or model accuracy dips, catching issues before they impact business operations.
Senior Data Engineer at LTM
 

Room For Improvement

Alteryx needs improved visualization, performance, and integration, with users frustrated by pricing, learning curve, and limited collaboration features.
DataRobot needs improved integration, transparency, pricing, and support, while users seek enhanced AI features and better data handling.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
Legal Coordinator at a transportation company with 10,001+ employees
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
Senior Capacity Planner at a financial services firm with 10,001+ employees
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API.
Senior Consultant at a consultancy with 201-500 employees
If DataRobot also adds those data transformation capabilities, then it will be an end-to-end tool and the customer will not have to procure many tools for doing the ingestion and transformation process.
Advisory Solutions Architect at Dell Technologies
The integration of DataRobot would greatly benefit from allowing more realistic tools and would be improved if it integrates more comprehensively with AWS cloud and other cloud platforms.
Quality Engineering Specialist at a consultancy with 1,001-5,000 employees
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
 

Setup Cost

Enterprise buyers find Alteryx offers robust analytics but at high costs, weighed against potential efficiency and productivity benefits.
DataRobot's enterprise pricing varies from $100,000 to over $1 million, with additional costs for setup and support.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
Senior Rpa Consultant at a computer software company with 51-200 employees
We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Software Engineer at a computer software company with 10,001+ employees
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
The annual platform license ranges from around $100,000 to $500,000, typically starting at $100,000 per year for small teams with one to two users.
Senior Data Engineer at LTM
 

Valuable Features

Alteryx simplifies data workflows with a user-friendly interface, offering integration, automation, and advanced analytics without coding.
DataRobot excels in automation and MLOps, enhancing efficiency, accuracy, and collaboration for predictive and scalable data analytics.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Chief Information Officer at granistr
Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
Senior Consultant at a consultancy with 201-500 employees
Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau.
Senior Rpa Consultant at a computer software company with 51-200 employees
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
The automated machine learning and AI features of DataRobot have helped us build predictive models rapidly using hundreds of algorithms.
Quality Engineering Specialist at a consultancy with 1,001-5,000 employees
 

Categories and Ranking

Alteryx
Ranking in Predictive Analytics
1st
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
87
Ranking in other categories
Data Science Platforms (5th), Data Preparation Tools (1st)
DataRobot
Ranking in Predictive Analytics
6th
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
9
Ranking in other categories
AI Development Platforms (14th), AIOps (15th), AI Observability (28th), AI Finance & Accounting (8th)
 

Mindshare comparison

As of June 2026, in the Predictive Analytics category, the mindshare of Alteryx is 7.6%, down from 19.6% compared to the previous year. The mindshare of DataRobot is 5.7%, down from 9.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Predictive Analytics Mindshare Distribution
ProductMindshare (%)
Alteryx7.6%
DataRobot5.7%
Other86.7%
Predictive Analytics
 

Featured Reviews

ManojBehera - PeerSpot reviewer
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Automated complex ETL workflows have reduced coding effort and improved data integration
One area for improvement is in integrating mostly the data which comes from telemetry, where I can see some sort of improvisations can be made. It is a massive amount of unstructured data, and I believe Alteryx is able to handle it, but there can be some improvements. Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data. Additionally, I believe when we use filter tools immediately after the input source, there can be slowdowns when handling massive data. The user experience of Alteryx is generally good, but there are areas for improvement from a user's perspective, particularly regarding user interface enhancements. I think there's always room for improvement, but otherwise, Alteryx has been a great tool for me. We haven't experienced significant disruptions while increasing data volumes, though I sense there could be performance issues as data grows exponentially. This is an area that could use improvement in Alteryx.
Nishant Chauhan - PeerSpot reviewer
Senior Data Engineer at LTM
Accelerated production models have transformed fraud detection and streamlined compliant AI workflows
There are three additional things I would like to add about DataRobot. First, it is not magic; the saying 'garbage in, garbage out' still applies. If your data is messy, has leaks, or the wrong target, DataRobot will just build a bad model faster. It is important to spend time on data prep. Second, free alternatives exist; if the budget is tight, H2O.ai, AutoGluon by AWS, and PyCaret in Python do similar AutoML. DataRobot wins on MLOps with enterprise support, but open-source options win on cost and control. Finally, if you need deep learning for images and text or want full control over every model detail, coding it yourself in Python, TensorFlow, or PyTorch is still better. DataRobot is best for tabular data with business predictions. When it comes to improving DataRobot, I see a few functionalities that need attention. First, the pricing with access is a concern. Enterprise pricing starts at approximately $100,000 per year, which means startups, students, and small teams can't even test it. An improvement would be a real tier, like a $500 per month startup plan. Alternatives like AutoGluon and H2O.ai win here because anyone can try them. Currently, DataRobot operates on a try before you buy basis, which leads to a sales call rather than offering direct sign-up. The second improvement would focus on control versus AutoML trade-offs; while AutoML is fast, sometimes you need to tweak something in preprocessing, but DataRobot hides a lot under the hood. The suggested improvement would allow more granular control without leaving the UI, letting power users directly edit the blueprint code. I would like the ability to change one line instead of rebuilding the whole thing.
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
8%
Computer Software Company
7%
Construction Company
6%
Manufacturing Company
15%
Financial Services Firm
15%
Construction Company
8%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business33
Midsize Enterprise16
Large Enterprise56
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise8
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
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?
DataRobot could improve by attaching more advanced AI features, which would empower its daily use to be more responsible, efficient, and provide real-time examples. This enhancement would demonstra...
What is your primary use case for DataRobot?
My main use case for DataRobot is that it is a platform at an enterprise AI level that every organization uses to build, deploy, and govern each machine learning model at scale. It is basically an ...
 

Comparisons

 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Find out what your peers are saying about Alteryx vs. DataRobot and other solutions. Updated: June 2026.
900,747 professionals have used our research since 2012.