Azure OpenAI vs DataRobot comparison

Microsoft and DataRobot are both solutions in the AI Development Platforms category. Microsoft is ranked #1 with an average rating of 7.9, while DataRobot is ranked #13 with an average rating of 9.0. Microsoft holds a 17.5% mindshare in AIDP, compared to DataRobot’s 1.4% mindshare. Additionally, 93% of Microsoft users are willing to recommend the solution, compared to 100% of DataRobot users who would recommend it.

Azure OpenAI

Read 32 Azure OpenAI reviews

8,535 Views
7,918 Comparison Views

93% willing to recommend

DataRobot

Read 4 DataRobot reviews

1,129 Views
516 Comparison Views

100% willing to recommend

Azure OpenAI

DataRobot

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 4, 2024

DataRobot and Azure OpenAI compete in automated machine learning and AI solutions. Azure OpenAI seems superior due to its comprehensive feature offerings, making it a worthwhile investment.

Features: DataRobot focuses on automated machine learning with an emphasis on simplicity and efficiency. It provides a user-friendly interface, comprehensive model building, and deployment tools. Azure OpenAI offers a wide range of AI functionalities with deep integration into the Azure ecosystem, leveraging the strengths of the GPT-3.5 models for natural language processing, document analysis, and scalability, which enhances its capabilities.

Room for Improvement: DataRobot could benefit from expanding its feature set beyond the current offerings and enhancing its integration with other platforms. It may also improve scalability options. Azure OpenAI could improve its deployment complexity by simplifying the setup process. Additionally, addressing its higher cost structure and geographical availability restrictions could attract more users.

Ease of Deployment and Customer Service: DataRobot offers an easy deployment process with dedicated customer support, ideal for businesses looking for quick implementation. Azure OpenAI, backed by the robust Azure infrastructure, provides scalable deployment, although it may involve a steeper learning curve. Its customer service focuses on leveraging Azure's global network to resolve issues effectively.

Pricing and ROI: DataRobot offers competitive pricing with predictable costs, providing a clear ROI through efficient model building and deployment. Azure OpenAI may require a higher initial investment but has potential for significant long-term ROI through advanced features and integration capabilities, promising greater scalability and improved business efficiencies.

To learn more, read our detailed Azure OpenAI vs. DataRobot Report (Updated: January 2025).

Buyer's Guide

Azure OpenAI vs. DataRobot

January 2025

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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

Azure OpenAI

Ranking in AI Development Platforms

1st

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

DataRobot

Ranking in AI Development Platforms

13th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Predictive Analytics (5th), AIOps (16th)

Mindshare comparison

As of January 2025, in the AI Development Platforms category, the mindshare of Azure OpenAI is 17.5%, down from 19.2% compared to the previous year. The mindshare of DataRobot is 1.4%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms

Featured Reviews

Anup Karade

Associate Vice President at LTIMindtree

Created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions

We have created our own platform called CanvasAI. It provides machine-learning plumbing and integration with your services. So, we've integrated Azure OpenAI through Canvas. We're also looking at some hard interface modeling from AWS as well. We access Azure OpenAI solutions for our business workflow via the platform, not directly from the service provider. There are security considerations we're working through with the security team, etc. Canvas provides the control plane, which handles RBAC for user registration and model management. For internal processes, we're using OpenAI to create partner call reports, like summarizing quarterly zip code data and other financial models. We also use it for legal and contract stuff, like comparing SOWs and contracts. For user experience, we've created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions.

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Raviteja Guna

Data Scientist at a tech services company with 10,001+ employees

Highly automated solution allowing data scientists to build models easily

Based on your similar requirements, V10.0 has very cool features related to AI Generation. I would suggest the team, too. This is very good for data scientists or people who don't want to code. Even the documentation is well-maintained in terms of its capabilities. It's easy to navigate. The support documents are good. Even someone with basic IT knowledge can easily navigate. If you're an IT engineer, you can efficiently perform operations using it. We have deployed eight to nine use cases on DataRobot and have seen a tremendous response in accuracy and performance. We are pleased because we conducted a comparison. We took a model we built using a sample Python on a local machine and applied the same data and process using DataRobot Autopilot. The results were pretty amazing, with promising accuracy and recall. The accessibility is so easy. Even a college graduate with essential experience can use it. Suppose I do the same model in Databricks and want to monitor my MLOps pipeline. So, I need to use a third-party framework again, like MLflow, Kubeflow, Airflow, or whatever. I need to build my dashboards and everything, customization dashboards. However, everything is available in DataRobot. I can use it directly. They have a new option called DataRobot apps. So, on the predictions, we can even create customized apps. I can build my dashboard, and I can develop my applications. Overall, I rate the solution an eight out of ten.

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Quotes from Members

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

Pros

"Its ability to understand and respond well to queries, including language translation for clients, is beneficial."

"Azure OpenAI is useful for benchmarking products."

"GPT was useful for our projects."

"The AI search functionality is particularly effective, as it creates summaries from data."

"We can use the solution to implement our tasks and models quickly."

"The product's initial setup phase was pretty easy."

"Azure OpenAI is very easy to use instead of AWS services."

"You just have to write accurate prompts according to your requirements, and the solution gives very good results."

More Azure OpenAI pros

"DataRobot is highly automated, allowing data scientists to build models easily."

"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."

"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."

Cons

"The dialogue manager needs to be improved."

"The UI could be a little easier."

"Latency performance is a major part. And I'm seeking support for multiple models that handle text, images, videos, and voice. I'm from India, and I'm looking for more support in Indian languages. There are 18 official languages and many more unofficial. We need support for these languages, especially in voice moderation, which is not yet available."

"Azure OpenAI should use more specific sources like academic articles because sometimes the source can't be found."

"I faced one issue with Azure OpenAI: My customer wanted more clarity on the pricing. They were not able to get proper answers from the documentation or the pricing calculator. I suggest that Microsoft maintain standardization in the pricing details published in the documentation and the pricing calculator."

"One major drawback of Azure OpenAI is its availability, as it's not consistently accessible for effective use."

"I have found the tool unreliable in certain use cases. I aim to enhance the system's latency, particularly in responding to calls. Occasionally, calls don't respond, so I want to improve reliability."

"There are no available updates of information that are currently provided."

More Azure OpenAI cons

"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."

"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."

"There are some performance issues."

"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."

Pricing and Cost Advice

"The cost is pretty high. Even by US standards, you would find it high."

"I'm uncertain about the licensing, specifically the pricing. This falls under the purview of other teams, particularly the sales teams. I am not informed about the pricing details."

"The tool costs around 20 dollars a month."

"The solution's pricing is normal worldwide but expensive in Turkey because Turkey's currency is different."

"While the product meets our business requirements well, I consider it relatively expensive, especially for individual users like myself."

"According to the negotiations taking place and the contract, there is a need to make either monthly or yearly payments to use the solution."

"Regarding pricing and licensing, it's a bit complex due to the minimum purchase requirement for PTO units. We're evaluating the best approach between PTE and pay-as-you-go models. Our organization is cautious about committing to PTE due to the fixed bandwidth reservation, while pay-as-you-go doesn't offer enough flexibility. We're discussing these matters with legal teams to ensure compliance and data security."

"Azure OpenAI is a bit more expensive than other services."

More Azure OpenAI 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."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

13%

Manufacturing Company

11%

Educational Organization

25%

Financial Services Firm

12%

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

See all answers

What is your experience regarding pricing and costs for Azure OpenAI?

The pricing is very good for handling various kinds of jobs. While small jobs are manageable, more complex jobs require a higher model, which is a bit challenging.

See all answers

What needs improvement with Azure OpenAI?

Maybe with the next release, the response will be more precise and more human-like.

See all answers

What needs improvement with DataRobot?

There are some performance issues when it comes to improvements. They also offer storage-related services compared to other tools like Admin, Azure, or AWS. It is easy to plug and play. Third-party...

See all answers

What is your primary use case for DataRobot?

We work on AI and ML use cases related to technology and IT.

See all answers

What advice do you have for others considering DataRobot?

See all answers

Comparisons

Google Vertex AI vs Azure OpenAI

Compared 46% of the time

Amazon SageMaker vs Azure OpenAI

Compared 11% of the time

Hugging Face vs Azure OpenAI

Compared 11% of the time

Microsoft Azure Machine Learning Studio vs Azure OpenAI

Compared 9% of the time

Wit.ai vs Azure OpenAI

Compared 0% of the time

More Azure OpenAI Competitors

Amazon SageMaker vs DataRobot

Compared 33% of the time

Microsoft Azure Machine Learning Studio vs DataRobot

Compared 13% of the time

Datadog vs DataRobot

Compared 13% of the time

RapidMiner vs DataRobot

Compared 9% of the time

Pecan AI vs DataRobot

Compared 3% of the time

More DataRobot Competitors

Product Reports

Buyer's Guide

Azure OpenAI

January 2025

Download Azure OpenAI product report

Buyer's Guide

Predictive Analytics

January 2025

Download DataRobot product report

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Microsoft

DataRobot

Overview

Azure OpenAI integrates advanced language models with robust security for precise information extraction and task automation. Its seamless Azure integration and drag-and-drop interface simplify implementation and enhance accessibility.

Azure OpenAI offers a comprehensive suite of features designed for efficient data processing and task automation. It provides high precision in extracting information and strong conversational capabilities, crucial for developing chatbots and customer support systems. Its integration with Azure ensures seamless data handling and security, addressing key enterprise requirements. Users can employ its versatile GPT models for diverse applications such as predictive analytics, summarizing large documents, and competitive benchmarking. Despite its strengths, it faces challenges like latency, inadequate regional support, and limited integration of new technologies. Improvements in model fine-tuning and more flexible configuration are desired by users.

What features make Azure OpenAI a reliable choice?

High Precision: Ensures accurate data extraction suitable for critical applications.
Conversational Capabilities: Facilitates the creation of sophisticated chatbots.
Azure Integration: Seamlessly connects with Azure services for enhanced functionality.
Automation Support: Automates repetitive tasks, improving efficiency.
Security Features: Offers robust protection for sensitive data.
Drag-and-Drop Environment: Simplifies user interaction and deployment.

What benefits and ROI should users consider?

Natural Language Processing: Provides superior language model performance.
Quick Implementation: Reduces time to deploy applications.
Scalability: Supports growing business needs with ease.
Versatile GPT Models: Applicable across different industry workflows.

Azure OpenAI is implemented across industries like healthcare, finance, and education for tasks like invoice processing, digitalizing records, and language translation. It enhances policy management, document assimilation, and customer support with predictive analytics and keyword extraction. Organizations in such sectors benefit from streamlined workflows and task automation.

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.

Sample Customers

Information Not Available

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant

Buyer's Guide

Azure OpenAI vs. DataRobot

January 2025

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