Azure OpenAI vs IBM Watson Studio comparison

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Microsoft Logo
6,658 views|6,241 comparisons
90% 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: May 2024).
772,649 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's initial setup phase was pretty easy.""You just have to write accurate prompts according to your requirements, and the solution gives very good results.""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.""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 high precision of information extraction is the most valuable feature.""The most valuable feature of Azure OpenAI stems from the GPT-3.5 models it provides to its users.""Azure OpenAI is very easy to use instead of AWS services."

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"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 has a lot of data connectors, which is extremely helpful.""Stability-wise, it is a great tool.""The solution is very easy to use.""It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements.""The system's ability to take a look at data, segment it and then use that data very differently.""It is a stable, reliable product.""Watson Studio is very stable."

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Cons
"The product must improve its dashboards.""The solution needs to accommodate smaller companies.""There is room for improvement in their support services.""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.""There are certain shortcomings with the product's scalability and support team where improvements are required.""Azure OpenAI will be expensive if you want to implement it as a permanent solution for a customer.""One area for improvement is providing more flexibility in configuration and connectivity with external tools.""I noticed there are no instructional videos or guides on the network portal for initial configurations. There is limited information available, and this is a concern for me. I would like to see more resources and guides to address these issues."

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"The initial setup was complex.""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.""We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers.""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.""The main challenge lies in visibility and ease of use.""Watson Studio would be improved with a clearer path for the deployment of docker images."

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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:The product is easy to integrate with our IT workflow.
    Top Answer:If you consider the long-term aspect of any project, Azure OpenAI is a costly solution. However, the solution is cheap if you just want to see results or try some POC in the initial stages. This is… more »
    Top Answer:While the product is closely linked with several other products offered by Microsoft Azure, especially when building generic AI solutions, some aspects could still be enhanced. One area for… 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 Company27%
    Marketing Services Firm18%
    Financial Services Firm18%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Computer Software Company14%
    Manufacturing Company11%
    Educational Organization6%
    REVIEWERS
    Manufacturing Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company12%
    Manufacturing Company8%
    Educational Organization7%
    Company Size
    REVIEWERS
    Small Business48%
    Large Enterprise52%
    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
    May 2024
    Find out what your peers are saying about Azure OpenAI vs. IBM Watson Studio and other solutions. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    Azure OpenAI is ranked 2nd in AI Development Platforms with 24 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.