Azure OpenAI vs IBM Watson Studio comparison

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6,658 views|6,241 comparisons
88% willing to recommend
IBM Logo
1,680 views|1,112 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Azure OpenAI and IBM Watson Studio based on real PeerSpot user reviews.

Find out in this report how the two AI Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Azure OpenAI vs. IBM Watson Studio Report (Updated: March 2024).
770,292 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The product is easy to integrate with our IT workflow.""The solution has a very drag-and-drop environment. Instead of coding something from scratch or understanding any concept in extensive depth before deployment, this is good. Plus, they have an auto dataset, which means you can choose any dataset they have instead of providing your own. So that's also pretty nice.""OpenAI's models are more mature than Watson's. They offer a wider range of features and provide richer outputs.""It's very powerful. It allows users to query our documents using natural language and receive answers in the same way. This makes our product information much more accessible than traditional keyword-based search.""Azure OpenAI is useful for benchmarking products.""The product's initial setup phase was pretty easy.""We can use the solution to implement our tasks and models quickly.""The product saves a lot of time."

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"Stability-wise, it is a great tool.""It has a lot of data connectors, which is extremely helpful.""For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks.""Watson Studio is very stable.""Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic.""IBM Watson Studio consistently automates across channels.""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.""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."

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Cons
"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.""Azure OpenAI should use more specific sources like academic articles because sometimes the source can't be found.""One area for improvement is providing more flexibility in configuration and connectivity with external tools.""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 is not available in all regions, and its technical support should be improved.""Azure OpenAI is not an optimized tool yet, making it one of its shortcomings where improvements are required.""The product must improve its dashboards.""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."

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"We would like to see it more web-based with more functionality.""The initial setup was complex.""I want IBM's technical support team to provide more specific answers to queries.""The decision making in their decision making feature is less good than other options.""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.""The solution's interface is very slow at times.""So a better user interface could be very helpful""More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."

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Pricing and Cost Advice
  • "The cost structure depends on the volume of data processed and the computational resources required."
  • "The pricing is acceptable, and it's delivering good value for the results and outcomes we need."
  • "The cost is pretty high. Even by US standards, you would find it high."
  • "The cost is quite high and fixed."
  • "The tool costs around 20 dollars a month."
  • "Cost-wise, the product's price is a bit on the higher side."
  • "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."
  • "According to the negotiations taking place and the contract, there is a need to make either monthly or yearly payments to use the solution."
  • 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."
  • More IBM Watson Studio Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It's very powerful. It allows users to query our documents using natural language and receive answers in the same way. This makes our product information much more accessible than traditional… more »
    Top Answer:We've been a long-term Microsoft shop with an enterprise agreement, so that gives us some advantages. As an Azure-certified partner, we receive preferred pricing. However, AWS also has a very… more »
    Top Answer: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… more »
    Top Answer:From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment are separated, then it would be good. I would like them to be one and offer users a… more »
    Ranking
    2nd
    Views
    6,658
    Comparisons
    6,241
    Reviews
    17
    Average Words per Review
    466
    Rating
    8.0
    8th
    Views
    1,680
    Comparisons
    1,112
    Reviews
    5
    Average Words per Review
    426
    Rating
    8.2
    Comparisons
    Also Known As
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
    Learn More
    Microsoft
    Video Not Available
    IBM
    Video Not Available
    Overview

    The Azure OpenAI service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio.

    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.

    Sample Customers
    Information Not Available
    GroupM, Accenture, Fifth Third Bank
    Top Industries
    REVIEWERS
    Computer Software Company38%
    Marketing Services Firm13%
    Energy/Utilities Company13%
    Manufacturing Company13%
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Computer Software Company14%
    Manufacturing Company10%
    Educational Organization6%
    REVIEWERS
    Manufacturing Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company12%
    Educational Organization8%
    Manufacturing Company7%
    Company Size
    REVIEWERS
    Small Business50%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    REVIEWERS
    Small Business71%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    Buyer's Guide
    Azure OpenAI vs. IBM Watson Studio
    March 2024
    Find out what your peers are saying about Azure OpenAI vs. IBM Watson Studio and other solutions. Updated: March 2024.
    770,292 professionals have used our research since 2012.

    Azure OpenAI is ranked 2nd in AI Development Platforms with 19 reviews while IBM Watson Studio is ranked 8th in AI Development Platforms with 13 reviews. Azure OpenAI is rated 8.0, while IBM Watson Studio is rated 8.2. The top reviewer of Azure OpenAI writes "Created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions". On the other hand, the top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". Azure OpenAI is most compared with Google Vertex AI, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Hugging Face and IBM Watson Machine Learning, whereas IBM Watson Studio is most compared with Databricks, Microsoft Azure Machine Learning Studio, Google Vertex AI, Amazon Comprehend and Anaconda. See our Azure OpenAI vs. IBM Watson Studio report.

    See our list of best AI Development Platforms vendors.

    We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.