No more typing reviews! Try our Samantha, our new voice AI agent.

Azure OpenAI vs IBM Watson Machine Learning 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:
 

Categories and Ranking

Azure OpenAI
Ranking in AI Development Platforms
2nd
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
36
Ranking in other categories
No ranking in other categories
IBM Watson Machine Learning
Ranking in AI Development Platforms
17th
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the AI Development Platforms category, the mindshare of Azure OpenAI is 6.8%, down from 11.6% compared to the previous year. The mindshare of IBM Watson Machine Learning is 1.7%, down from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Azure OpenAI6.8%
IBM Watson Machine Learning1.7%
Other91.5%
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.
reviewer2319402 - PeerSpot reviewer
Director of Business Development at a educational organization with 1,001-5,000 employees
Good fit for medium-sized companies, and offers good AutoML feature
In future releases, I would like to see a more flexible environment. It's a good product for customization and developing products. But when we need the most control over the delivery, Watson isn't the best. We can't fix everything because we're working with a machine that's creating a product. And the ability to go in-depth and tweak our model easily would be really nice.

Quotes from Members

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

Pros

"We can use the solution to implement our tasks and models quickly."
"Our clients are interested in building knowledge bases, particularly in child welfare. In this domain, we focus on supporting caseworkers by compiling and organizing relevant information. This information is then stored in a database using a query. The database generates summaries and reminders for specific actions and even facilitates sending emails to parents or other relevant parties. The system's complexity is tailored to the specific needs of child welfare cases. Additionally, we're exploring opportunities to assist a healthcare organization. Specifically, we're working on streamlining the process of filling out forms required for insurance claims. This effort aims to ensure that hospitals can receive funding or payment for the care they provide."
"Azure's integration with OpenAI's GPT is beneficial as well, especially for text generation tasks."
"It's very easy to set up and easy to use; there is no issue with that."
"Azure OpenAI has significantly reduced costs and increased efficiency in tasks such as aggressive testing of systems to avoid anomalies and trust issues."
"The document intelligence feature has significantly aided in our operations, facilitating the creation of descriptive content."
"The most valuable feature is the ALM."
"The product is easy to integrate with our IT workflow."
"Scalability-wise, I rate the solution ten out of ten."
"The solution is very valuable to our organization due to the fact that we can work on it as a workflow."
"The most valuable aspect of the solution's the cost and human labor savings."
"I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive."
"We can enable and change developer productivity with artificial intelligence-recommended code based on natural language input or exciting source code."
"We have seen an ROI, as it has improved self-service and customer satisfaction."
"I like the whole concept of using Watson; it has a lot of good features and we find the image classification very useful."
 

Cons

"There is room for improvement in their support services."
"Our customers are worried about data management, ethical, and security issues."
"Since we don't train the model on our data, it's a struggle to ensure OpenAI answers questions exclusively from our data. During user testing, we found ways to make the system provide answers from outside sources."
"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."
"Maybe with the next release, the response will be more precise and more human-like."
"The solution's response is a bit slow sometimes."
"The fine-tuning of models with the use of Azure OpenAI is an area with certain shortcomings currently, and it can be considered for improvement in the future."
"The product features themselves are fine. However, with Microsoft scaling the service so much, the support structure needs to keep pace. When solving complex issues, the process of interacting with Microsoft can be quite time-consuming."
"Honestly, I haven't seen any comparative report that has run the same data through two different artificial intelligence or machine learning capabilities to get something out of it. I would love to see that."
"Scaling is limited in some use cases. They need to make it easier to expand in all aspects."
"Sometimes training the model is difficult."
"They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."
"However, early on, they relied heavily on building out these massive reference tables. That was a ton of the work that had to be done."
"If I consider how we want to use it in our organization, certain areas of improvement can be addressed. For instance, we want to use it with Generative AI, not like ChatGPT, but in a way intended for industrial use."
"In future releases, I would like to see a more flexible environment."
"The supporting language is limited, and other languages could be added."
 

Pricing and Cost Advice

"The solution's pricing is normal worldwide but expensive in Turkey because Turkey's currency is different."
"I rate the product pricing six out of ten."
"The platform offers a flexible pricing model which depends on the features and capabilities we utilize."
"The solution's pricing depends on the services you will deploy."
"The pricing is acceptable, and it's delivering good value for the results and outcomes we need."
"We started with monthly payments, but we plan to switch to yearly billing once we've stabilized our solution."
"Cost-wise, the product's price is a bit on the higher side."
"If you consider the long-term aspect of any project, Azure OpenAI is a costly solution."
"I've only been using the free tier, but it's quite competitive on a service basis."
"The pricing model is good."
report
Use our free recommendation engine to learn which AI Development Platforms solutions are best for your needs.
902,270 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
11%
Computer Software Company
11%
Manufacturing Company
10%
Comms Service Provider
7%
Comms Service Provider
10%
University
10%
Construction Company
9%
Financial Services Firm
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise1
Large Enterprise19
No data available
 

Questions from the Community

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?
The customization option in Azure OpenAI is quite challenging because any customization must be done through the knowledge base since Azure OpenAI models cannot be trained. I must build a knowledge...
What is your primary use case for Azure OpenAI?
Azure OpenAI's main use case for me involves defining solutions for incident remediation where AI provides intelligence to solve problems, perform root cause analysis, or triage incidents or change...
What needs improvement with IBM Watson Machine Learning?
Sometimes training the model is difficult. We need to have at least a few different components to evaluate and understand the behavior of different users to have a very, very high accuracy in the m...
What is your primary use case for IBM Watson Machine Learning?
We use different artificial intelligence models to build questions and get answers for clients.
 

Overview

Find out what your peers are saying about Azure OpenAI vs. IBM Watson Machine Learning and other solutions. Updated: June 2026.
902,270 professionals have used our research since 2012.