Amazon SageMaker StudioAmazon
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Related Products
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About
Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x. You can quickly upload data, create new notebooks, train and tune models, move back and forth between steps to adjust experiments, collaborate seamlessly within your organization, and deploy models to production without leaving SageMaker Studio. Perform all ML development steps, from preparing raw data to deploying and monitoring ML models, with access to the most comprehensive set of tools in a single web-based visual interface.
Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models.
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About
Datatron offers tools and features built from scratch, specifically to make machine learning in production work for you. Most teams discover that there’s more to just deploying models, which is already a very manual and time-consuming task. Datatron offers single model governance and management platform for all of your ML, AI, and Data Science models in production. We help you automate, optimize, and accelerate your ML models to ensure that they are running smoothly and efficiently in production. Data Scientists use a variety of frameworks to build the best models. We support anything you’d build a model with ( e.g. TensorFlow, H2O, Scikit-Learn, and SAS ). Explore models built and uploaded by your data science team, all from one centralized repository. Create a scalable model deployment in just a few clicks. Deploy models built using any language or framework. Make better decisions based on your model performance.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Professionals interested in a tool to perform all ML development steps, from preparing data to deploying and monitoring ML models
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Audience
Enterprises in search of a solution to automate and accelerate the management of their ML processes
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/studio/
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Company InformationDatatron
Founded: 2016
United States
www.datatron.com/platform/
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Supported
TensorFlow
Supported
AWS Glue
Supported
Amazon EMR
Supported
Amazon SageMaker
Supported
Amazon SageMaker Data Wrangler
Supported
Amazon SageMaker Debugger
Supported
Google Cloud Platform
Not Supported
H2O.ai
Not Supported
Hadoop
Not Supported
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Integrations
Amazon Web Services (AWS)
Supported
TensorFlow
Supported
AWS Glue
Not Supported
Amazon EMR
Not Supported
Amazon SageMaker
Not Supported
Amazon SageMaker Data Wrangler
Not Supported
Amazon SageMaker Debugger
Not Supported
Google Cloud Platform
Supported
H2O.ai
Supported
Hadoop
Supported
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