We performed a comparison between Amazon SageMaker 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."Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."
"The tool has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc."
"Allows you to create API endpoints."
"The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases."
"We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for these models, making accessing them convenient as needed."
"They are doing a good job of evolving."
"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."
"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."
"The inferencing and processing capabilities are quite beneficial for our requirements."
"The initial setup is quite simple."
"The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models."
"There are other better solutions for large data, such as Databricks."
"AI is a new area and AWS needs to have an internship training program available."
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."
"The solution is complex to use."
"The solution needs to be cheaper since it now charges per document for extraction."
"SageMaker would be improved with the addition of reporting services."
"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."
"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."
"The model optimization is a little bit slow — it could be improved."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
Earn 20 points
Amazon SageMaker is ranked 5th in AI Development Platforms with 19 reviews while OpenVINO is ranked 11th in AI Development Platforms. Amazon SageMaker is rated 7.4, while OpenVINO is rated 8.6. The top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". On the other hand, the top reviewer of OpenVINO writes "A free toolkit providing improved neural network performance". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Microsoft Azure Machine Learning Studio, whereas OpenVINO is most compared with TensorFlow, PyTorch, Azure OpenAI, Google Cloud AI Platform and Google Vertex AI.
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