Azure OpenAI vs IBM Watson Studio comparison

Microsoft and IBM are both solutions in the AI Development Platforms category. Microsoft is ranked #1 with an average rating of 7.9, while IBM is ranked #9 with an average rating of 8.5. Microsoft holds a 15.0% mindshare in AIDP, compared to IBM’s 1.7% mindshare. Additionally, 93% of Microsoft users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Azure OpenAI

Read 32 Azure OpenAI reviews

8,724 Views
8,067 Comparison Views

93% willing to recommend

IBM Watson Studio

Read 14 IBM Watson Studio reviews

1,470 Views
918 Comparison Views

100% willing to recommend

Azure OpenAI

IBM Watson Studio

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 4, 2024

IBM Watson Studio and Azure OpenAI are competitive platforms in AI solutions. Azure OpenAI has the upper hand due to its seamless integration with Microsoft's ecosystem and unmatched natural language processing capabilities.

Features: IBM Watson Studio is renowned for its robust statistical modeling, automated machine learning, and collaboration features. It supports diverse data types and end-to-end data science workflows. Azure OpenAI focuses on natural language processing, integrates seamlessly with Microsoft services, and offers scalability.

Room for Improvement: IBM Watson Studio could enhance its natural language processing features and streamline Microsoft integration. The user interface can be made more intuitive. Azure OpenAI can improve its geographical availability and subscription constraints. Training models for specific tasks could be more intuitive and less dependent on prompt accuracy. Users also report occasional rate limits that could be addressed.

Ease of Deployment and Customer Service: Deploying IBM Watson Studio is straightforward with its support for multi-cloud environments. It provides comprehensive customer service via dedicated support teams. Azure OpenAI benefits from its deep integration with Azure services, offering rapid scalability and ease of deployment on the Azure cloud, with strong support from Microsoft's customer service.

Pricing and ROI: IBM Watson Studio has substantial initial setup costs but offers high ROI with comprehensive analytics solutions. Its pricing structure is predictable for large-scale projects. Azure OpenAI offers competitive pricing with flexible pay-as-you-go models, promising favorable ROI, particularly for businesses leveraging the Azure ecosystem.

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

Buyer's Guide

Azure OpenAI vs. IBM Watson Studio

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

IBM Watson Studio

Ranking in AI Development Platforms

9th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Science Platforms (11th)

Mindshare comparison

As of February 2025, in the AI Development Platforms category, the mindshare of Azure OpenAI is 15.0%, down from 20.0% compared to the previous year. The mindshare of IBM Watson Studio is 1.7%, down from 2.3% 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.

Read full review

Abilio Duarte

Senior Solutions Architect at Self-employed

A highly robust and well-documented platform that simplifies the complex world of AI

The main challenge lies in visibility and ease of use. Providing training sessions can be immensely helpful in helping users navigate and understand the tool's potential. This approach would empower users to explore and make the most of the tools and technologies at their disposal. Another area where IBM could enhance its offering is by providing more visibility to end users regarding the vast potential that Watson offers.

Read full review

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."

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

"The product is easy to integrate with our IT workflow."

"We have many use cases for the solution, such as digitalizing records, a chatbot looking at records, and being able to use generative AI on them."

"The most valuable feature is the ALM."

"Azure OpenAI is useful for benchmarking products."

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

"GPT was useful for our projects."

More Azure OpenAI pros

"Stability-wise, it is a great tool."

"It has greatly improved the performance because it is standardized across the company."

"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."

"It is a stable, reliable product."

"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."

"The scalability of IBM Watson Studio is great."

"Watson Studio is the most complete tool for AI projects."

"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."

More IBM Watson Studio pros

Cons

"Azure OpenAI will be expensive if you want to implement it as a permanent solution for a customer."

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

"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."

"The dialogue manager needs to be improved."

"Azure needs to work on its own model development and improve the integration of voice-to-text services, particularly for right-to-left languages such as Arabic and Urdu. The accuracy in these languages requires improvement."

"In the next release, they could enhance the product's features for even greater usability and efficiency."

"The solution's response is a bit slow sometimes."

More Azure OpenAI cons

"It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs."

"One area that could be improved is the backup and restoration of the database and the overall database configuration."

"Watson Studio would be improved with a clearer path for the deployment of docker images."

"The decision making in their decision making feature is less good than other options."

"The main challenge lies in visibility and ease of use."

"So a better user interface could be very helpful"

"I think maybe the support is an area where it lacks."

"The solution's interface is very slow at times."

More IBM Watson Studio cons

Pricing and Cost Advice

"The tool costs around 20 dollars a month."

"Cost-wise, the product's price is a bit on the higher side."

"The licensing is interaction-based, meaning transactional. It's reasonably priced for now."

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

"The cost is quite high and fixed."

"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."

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

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

More Azure OpenAI pricing and cost advice

"Watson Studio's pricing is reasonable for what you get."

"IBM Watson Studio is a reasonably priced product"

"IBM Watson Studio is an expensive solution."

"The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

13%

Manufacturing Company

11%

Government

Financial Services Firm

15%

Computer Software Company

12%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 do you like most about IBM Watson Studio?

Stability-wise, it is a great tool.

See all answers

What is your experience regarding pricing and costs for IBM Watson Studio?

The pricing of Watson Studio is justified by the benefits and power it offers.

See all answers

What needs improvement with IBM Watson Studio?

One area that could be improved is the backup and restoration of the database and the overall database configuration. There were also challenges with programming the network extension in the last p...

See all answers

Comparisons

Google Vertex AI vs Azure OpenAI

Compared 45% of the time

Hugging Face vs Azure OpenAI

Compared 12% of the time

Amazon SageMaker vs Azure OpenAI

Compared 11% of the time

Microsoft Azure Machine Learning Studio vs Azure OpenAI

Compared 9% of the time

TensorFlow vs Azure OpenAI

Compared 3% of the time

More Azure OpenAI Competitors

Databricks vs IBM Watson Studio

Compared 26% of the time

Google Vertex AI vs IBM Watson Studio

Compared 15% of the time

Microsoft Azure Machine Learning Studio vs IBM Watson Studio

Compared 14% of the time

Amazon Comprehend vs IBM Watson Studio

Compared 4% of the time

IBM SPSS Modeler vs IBM Watson Studio

Compared 3% of the time

More IBM Watson Studio Competitors

Product Reports

Buyer's Guide

Azure OpenAI

February 2025

Download Azure OpenAI product report

Buyer's Guide

IBM Watson Studio

February 2025

Download IBM Watson Studio product report

Also Known As

No data available

Watson Studio, IBM Data Science Experience, Data Science Experience, DSx

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.

Microsoft

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

IBM

Sample Customers

Information Not Available

GroupM, Accenture, Fifth Third Bank

Buyer's Guide

Azure OpenAI vs. IBM Watson Studio

January 2025

Free Report: Azure OpenAI vs. IBM Watson Studio

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