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What is DVC?

Data Version Control (DVC) is an open-source tool tailored for the management of version control within data science and machine learning projects. It features a Git-like interface that enables users to systematically arrange data, models, and experiments, simplifying the oversight and versioning of various file types, such as images, audio, video, and text. This tool structures the machine learning modeling process into a reproducible workflow, ensuring that experimentation remains consistent. DVC seamlessly integrates with existing software engineering tools, allowing teams to articulate every component of their machine learning projects through accessible metafiles that outline data and model versions, pipelines, and experiments. This approach not only promotes adherence to best practices but also fosters the use of established engineering tools, effectively bridging the divide between data science and software development. By leveraging Git, DVC supports the versioning and sharing of entire machine learning projects, which includes source code, configurations, parameters, metrics, data assets, and processes by committing DVC metafiles as placeholders. Its user-friendly design enhances collaboration among team members, boosting both productivity and innovation throughout various projects, ultimately leading to more effective results in the field. As teams adopt DVC, they find that the structured approach helps streamline workflows, making it easier to track changes and collaborate efficiently.

What is Amazon SageMaker Unified Studio?

Amazon SageMaker Unified Studio is an all-in-one platform for AI and machine learning development, combining data discovery, processing, and model creation in one secure and collaborative environment. It integrates services like Amazon EMR, Amazon SageMaker, and Amazon Bedrock, allowing users to quickly access data, process it using SQL or ETL tools, and build machine learning models. SageMaker Unified Studio also simplifies the creation of generative AI applications, with customizable AI models and rapid deployment capabilities. Designed for both technical and business teams, it helps organizations streamline workflows, enhance collaboration, and speed up AI adoption.

Media

Media

Integrations Supported

AWS Glue
Amazon Athena
Amazon Bedrock
Amazon DataZone
Amazon SageMaker
Amazon SageMaker Autopilot
Amazon SageMaker Canvas
Amazon SageMaker Clarify
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon SageMaker Edge
Amazon SageMaker Feature Store
Amazon SageMaker JumpStart
Amazon Web Services (AWS)
Cohere
Hugging Face
LightOn
Llama
Stability AI
Visual Studio Code

Integrations Supported

AWS Glue
Amazon Athena
Amazon Bedrock
Amazon DataZone
Amazon SageMaker
Amazon SageMaker Autopilot
Amazon SageMaker Canvas
Amazon SageMaker Clarify
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon SageMaker Edge
Amazon SageMaker Feature Store
Amazon SageMaker JumpStart
Amazon Web Services (AWS)
Cohere
Hugging Face
LightOn
Llama
Stability AI
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

iterative.ai

Date Founded

2018

Company Location

United States

Company Website

dvc.org

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/unified-studio/

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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