Amazon SageMaker vs Google Cloud Vision API: What are the differences?
Amazon SageMaker: Accelerated Machine Learning. A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale; Google Cloud Vision API: Understand the content of an image by encapsulating powerful machine learning models. Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.
Amazon SageMaker and Google Cloud Vision API are primarily classified as "Machine Learning as a Service" and "Image Analysis API" tools respectively.
Some of the features offered by Amazon SageMaker are:
- Build: managed notebooks for authoring models, built-in high-performance algorithms, broad framework support
- Train: one-click training, authentic model tuning
- Deploy: one-click deployment, automatic A/B testing, fully-managed hosting with auto-scaling
On the other hand, Google Cloud Vision API provides the following key features:
- Powerful Image Analysis
- Insight From Your Images
- Detect Inappropriate Content
According to the StackShare community, Google Cloud Vision API has a broader approval, being mentioned in 25 company stacks & 8 developers stacks; compared to Amazon SageMaker, which is listed in 12 company stacks and 6 developer stacks.