Amazon SageMaker Studio Datatron

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Amazon SageMaker Studio:

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.
Datatron:

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.
Amazon SageMaker Studio:

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
Datatron:

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
Amazon SageMaker Studio:

Audience

Professionals interested in a tool to perform all ML development steps, from preparing data to deploying and monitoring ML models
Datatron:

Audience

Enterprises in search of a solution to automate and accelerate the management of their ML processes
Amazon SageMaker Studio:

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported
Datatron:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Amazon SageMaker Studio:

API

Offers API Not Supported
Datatron:

API

Offers API Supported
Amazon SageMaker Studio:

Screenshots and Videos

Datatron:

Screenshots and Videos

Amazon SageMaker Studio:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Datatron:

Pricing

No information available.
Free Version Not Supported
Free Trial Supported
Amazon SageMaker Studio:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
Datatron:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
Amazon SageMaker Studio:

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported
Datatron:

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported
Amazon SageMaker Studio:

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/studio/
Datatron:

Company Information

Datatron
Founded: 2016
United States
www.datatron.com/platform/
Amazon SageMaker Studio:

Alternatives

Datatron:

Alternatives

Amazon SageMaker Studio:
Datatron:
Amazon SageMaker Studio:
Datatron:
Amazon SageMaker Studio:
Datatron:
Keepsake

Keepsake

Replicate
Amazon SageMaker Studio:
Datatron:
Amazon SageMaker Studio:

Categories

IDE Supported
Machine Learning Supported
Datatron:

Categories

AI Governance Supported
Machine Learning Supported
Amazon SageMaker Studio:

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
Jupyter Notebook Supported
Microsoft Azure Not Supported
MySQL Not Supported
PostgreSQL Not Supported
PyTorch Supported
SAS Asset Performance Analytics Not Supported
Salesforce Not Supported
Teradata VantageCloud Not Supported
Wipro Promax Not Supported
Datatron:

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
Jupyter Notebook Not Supported
Microsoft Azure Supported
MySQL Supported
PostgreSQL Supported
PyTorch Not Supported
SAS Asset Performance Analytics Supported
Salesforce Supported
Teradata VantageCloud Supported
Wipro Promax Supported
Amazon SageMaker Studio:
Claim Amazon SageMaker Studio and update features and information
Claim Amazon SageMaker Studio and update features and information
Datatron:
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Claim Datatron and update features and information