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Azure OpenAI vs DataRobot comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 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
6.3
Azure OpenAI boosts productivity and cost savings, enabling rapid prototyping, scalability, and reducing workforce needs across sectors.
Sentiment score
9.0
DataRobot enhanced prediction accuracy, reduced analysis time, simplified processes, and improved efficiency, leading to better decisions and cost savings.
On average, we're saving about 10 to 15 hours per project.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
 

Customer Service

Sentiment score
5.4
Microsoft’s customer service is professional and supportive, though access issues and AI-driven improvements are needed.
Sentiment score
7.5
DataRobot excels in customer service and scalability, but could improve response speed and documentation for large datasets.
Tickets can be prioritized for critical issues.
Data Engineer at a educational organization with 201-500 employees
It is important for organizations like Microsoft to apply OpenAI solutions within their own structures.
Associate consultant at a tech services company with 1,001-5,000 employees
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 a educational organization with 1,001-5,000 employees
 

Scalability Issues

Sentiment score
6.3
Azure OpenAI is scalable for cloud apps but faces challenges with token limits and regional capacity for some users.
Sentiment score
4.6
DataRobot is scalable, integrates easily, automates processes, supports multiple models, and handles large data volumes efficiently.
The scalability depends on whether the application is multimodal or uses a single model.
Associate consultant at a tech services company with 1,001-5,000 employees
The API works fine, allowing me to scale indefinitely.
IT Manager at Pluris Midia
 

Stability Issues

Sentiment score
7.1
Azure OpenAI is highly stable, reliable for enterprises, with occasional downtime and performance variances during peak usage.
Sentiment score
7.7
DataRobot is praised for stability and reliability, with enhancements improving user satisfaction across diverse analytics scenarios.
Overall, it is acceptable, but the major issue we currently face in this project is the hallucination problem.
AI Engineering Manager at a tech vendor with 10,001+ employees
The solution works fine, particularly for enterprises or even some small enterprises.
Associate consultant at a tech services company with 1,001-5,000 employees
 

Room For Improvement

Azure OpenAI users seek improved integration, better support, diverse models, and cost-effective, reliable solutions with enhanced scalability and accuracy.
DataRobot faces customization, integration, and performance challenges; improved AI support, transparency, and community engagement are needed.
They should consider bringing non-OpenAI models also into their fold, just as AWS Bedrock, which provides its own models and models from other commercial providers through the Bedrock service.
Senior Principal Architect at a tech vendor with 5,001-10,000 employees
Expanding token limitations for scaling while ensuring concurrent user access is crucial.
Data Engineer at a educational organization with 201-500 employees
Azure needs to work on its own model development and improve the integration of voice-to-text services.
Associate consultant at a tech services company 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
There is a lack of transparency in the models; sometimes it feels like a black box.
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
 

Setup Cost

Azure OpenAI pricing is variable, with reports of both satisfaction and concerns compared to AWS and open-source options.
<p>DataRobot provides scalable, cost-effective AI solutions with flexible pricing tailored to enterprise needs and usage volume.</p>
Recent iterations have increased token allowances, mitigating some challenges associated with concurrent user access at scale.
Data Engineer at a educational organization with 201-500 employees
The pricing is very good for handling various kinds of jobs.
IT Manager at Pluris Midia
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 a educational organization with 1,001-5,000 employees
 

Valuable Features

Azure OpenAI excels in precision, scalability, and ease of use, enhancing productivity with intuitive tools and GPT model integration.
DataRobot automates feature engineering and model testing, enhancing productivity and decision-making with user-friendly, scalable integration.
The most valuable features are Azure AI Foundry; we use Azure AI Foundry to deploy various Azure OpenAI agents within Azure, such as Assistant, Azure OpenAI Assistant using Azure AI Foundry.
Senior Principal Architect at a tech vendor with 5,001-10,000 employees
OpenAI models help me create predictive analysis products and chat applications, enabling me to automate tasks and reduce the workforce needed for repetitive work, thereby streamlining operations.
Data Engineer at a educational organization with 201-500 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 a educational organization with 1,001-5,000 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
 

Categories and Ranking

Azure OpenAI
Ranking in AI Development Platforms
1st
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
35
Ranking in other categories
No ranking in other categories
DataRobot
Ranking in AI Development Platforms
15th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
6
Ranking in other categories
Predictive Analytics (5th), AIOps (15th), AI Observability (19th), AI Finance & Accounting (6th)
 

Mindshare comparison

As of December 2025, in the AI Development Platforms category, the mindshare of Azure OpenAI is 7.6%, down from 16.7% compared to the previous year. The mindshare of DataRobot is 1.7%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Market Share Distribution
ProductMarket Share (%)
Azure OpenAI7.6%
DataRobot1.7%
Other90.7%
AI Development Platforms
 

Featured Reviews

RC
AI Engineering Manager at a tech vendor with 10,001+ employees
Empowerment in regulatory content generation marred by inconsistency and hallucination issues
While it is good, we sometimes encounter hallucination issues, which is a significant concern. We are changing the prompt and fine-tuning it, but we still face some inconsistent behavior. We have specific instructions and keep the temperature very low to avoid overly generative responses, ensuring we receive specific answers from the particular source document without deviation; however, the results can sometimes vary. The main issue with Azure OpenAI is the inconsistency in output. We have a set template instruction, and it should generate within those parameters without any creativity because it's meant for regulatory authoring documents. The business provides the template instructions, and it should generate accordingly. While we have different prompts for various needs, sometimes it generates the correct results, and sometimes it does not, leading to inconsistency. For stability, based on the current model I am using, I would rate Azure OpenAI a 7 due to the ongoing hallucination issues.
Naqash Ahmed - PeerSpot reviewer
Senior Data Reporting Analyst at a educational organization with 1,001-5,000 employees
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
12%
Manufacturing Company
10%
Government
5%
Financial Services Firm
13%
Manufacturing Company
12%
Computer Software Company
10%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise1
Large Enterprise19
No data available
 

Questions from the Community

What do you like most about Azure OpenAI?
The product is easy to integrate with our IT workflow.
What is your experience regarding pricing and costs for Azure OpenAI?
In terms of pricing for Azure OpenAI, I would rate it as average compared to Gemini. Currently, Gemini is becoming increasingly popular, which prompts leadership to consider a switch primarily due ...
What needs improvement with Azure OpenAI?
I have not thought about how Azure OpenAI can be improved. I have not explored AI model customization in Azure OpenAI, but it's not a very common use case to do model customization. There are certa...
What is your experience regarding pricing and costs for DataRobot?
While pricing falls more under my IT colleagues, from my perspective, the overall experience feels justified. The premium pricing is reasonable for the value provided, and I'd say it's worth the in...
What needs improvement with DataRobot?
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 ...
What is your primary use case for DataRobot?
My main use case for DataRobot is to perform predictive analysis and automation of machine learning workflows. I use it to quickly build, test, and deploy models without extensive coding. One of th...
 

Overview

 

Sample Customers

Information Not Available
Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Find out what your peers are saying about Azure OpenAI vs. DataRobot and other solutions. Updated: December 2025.
879,371 professionals have used our research since 2012.