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."It is easy to integrate and develop a solution. Most customers are concerned about the security of their data and how cost-effective it is. We have developed some methodologies so that our customers will not be charged too much for these OpenAI services but will still get the same kind of performance and results. It's all developed on Azure, so customers also see its benefit."
"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."
"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."
"OpenAI integrates seamlessly with the broader Microsoft Azure ecosystem, and that provides synergies with the other solutions. This integration makes it much easier to build solutions."
"The most crucial aspect is the conversational capability, where you can simply ask questions, and it provides answers based on your content and documents, particularly tailored to your specific environment."
"The product saves a lot of time."
"The most valuable feature is the ALM."
"The high precision of information extraction is the most valuable feature."
"It has greatly improved the performance because it is standardized across the company."
"It is a stable, reliable product."
"Stability-wise, it is a great tool."
"It is a very stable and reliable solution."
"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 system's ability to take a look at data, segment it and then use that data very differently."
"The scalability of IBM Watson Studio is great."
"It has a lot of data connectors, which is extremely helpful."
"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."
"Sometimes, the responses are repetitive."
"Deployment was slightly complex for me to understand."
"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."
"We encountered challenges related to question understanding."
"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 solution needs to accommodate smaller companies."
"There are certain shortcomings with the product's scalability and support team where improvements are required."
"I think maybe the support is an area where it lacks."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"The initial setup was complex."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"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."
"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"The solution's interface is very slow at times."
Azure OpenAI is ranked 2nd in AI Development Platforms with 26 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.
