We performed a comparison between Microsoft Azure Machine Learning Studio and OpenVINO based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms."Visualisation, and the possibility of sharing functions are key features."
"It's a great option if you are fairly new and don't want to write too much code."
"Auto email and studio are great features."
"It's good for citizen data scientists, but also, other people can use Python or .NET code."
"The product's standout feature is a robust multi-file network with limited availability."
"It's easy to deploy."
"The most valuable feature is the knowledge bank, which allows us to ask questions and the AI will automatically pull the pre-prescribed responses."
"One of the notable advantages is that it offers both a visual designer, which is user-friendly, and an advanced coding option."
"The inferencing and processing capabilities are quite beneficial for our requirements."
"The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models."
"The initial setup is quite simple."
"The solution should be more customizable. There should be more algorithms."
"The data processor can pose a bit of a challenge, but the real complexity is determined by the skill of the implementation team."
"There should be data access security, a role level security. Right now, they don't offer this."
"It could use to add some more features in data transformation, time series and the text analytics section."
"The regulatory requirements of the product need improvement."
"The price of the solution has room for improvement."
"The speed of deployment should be faster, as should testing."
"In terms of data capabilities, if we compare it to Google Cloud's BigQuery, we find a difference. When fetching data from web traffic, Google can do a lot of processing with small queries or functions."
"It has some disadvantages because when you're working with very complex models, neural networks if OpenVINO cannot convert them automatically and you have to do a custom layer and later add it to the model. It is difficult."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
"The model optimization is a little bit slow — it could be improved."
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Microsoft Azure Machine Learning Studio is ranked 1st in AI Development Platforms with 49 reviews while OpenVINO is ranked 10th in AI Development Platforms. Microsoft Azure Machine Learning Studio is rated 7.6, while OpenVINO is rated 8.6. The top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". On the other hand, the top reviewer of OpenVINO writes "Open-source, easy to integrate, and perfectly tailored to the Movidius chipset". Microsoft Azure Machine Learning Studio is most compared with Databricks, Google Vertex AI, Azure OpenAI, TensorFlow and Google Cloud AI Platform, whereas OpenVINO is most compared with TensorFlow, PyTorch, Azure OpenAI and Google Cloud AI Platform.
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