Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 2 Ratings

Total
ease
features
design
support

Alternatives to Consider

  • Cycloid Reviews & Ratings
    5 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    1,730 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    4 Ratings
    Company Website
  • RunPod Reviews & Ratings
    116 Ratings
    Company Website
  • Snowflake Reviews & Ratings
    1,389 Ratings
    Company Website
  • BytePlus Recommend Reviews & Ratings
    1 Rating
    Company Website
  • Vertex AI Reviews & Ratings
    673 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • Device42 Reviews & Ratings
    173 Ratings
    Company Website
  • Sage Intacct Reviews & Ratings
    7,350 Ratings
    Company Website

What is Amazon SageMaker Pipelines?

Amazon SageMaker Pipelines enables users to effortlessly create machine learning workflows using an intuitive Python SDK while also providing tools for managing and visualizing these workflows via Amazon SageMaker Studio. This platform enhances efficiency significantly by allowing users to store and reuse workflow components, which facilitates rapid scaling of tasks. Moreover, it includes a variety of built-in templates that help kickstart processes such as building, testing, registering, and deploying models, thus making it easier to adopt CI/CD practices within the machine learning landscape. Many users oversee multiple workflows that often include different versions of the same model, and the SageMaker Pipelines model registry serves as a centralized hub for tracking these versions, ensuring that the correct model can be selected for deployment based on specific business requirements. Additionally, SageMaker Studio enables seamless exploration and discovery of models, while users can leverage the SageMaker Python SDK to efficiently access these models, promoting collaboration and boosting productivity among teams. This holistic approach not only simplifies the workflow but also cultivates a flexible environment that accommodates the diverse needs of machine learning practitioners, making it a vital resource in their toolkit. It empowers users to focus on innovation and problem-solving rather than getting bogged down by the complexities of workflow management.

What is AWS CodePipeline?

AWS CodePipeline is a robust managed service that streamlines continuous delivery by automating release pipelines, ensuring that applications and infrastructure receive timely and reliable updates. By automating the build, test, and deployment phases of the release cycle in response to code changes, in accordance with your chosen release strategy, CodePipeline promotes the rapid and consistent rollout of new features and enhancements. This adaptability allows you to customize the service to fit your unique needs. You can opt for existing plugins or develop custom ones at any stage of the release process. For example, you might pull your code from GitHub, utilize a Jenkins build server on-site, perform load testing through a third-party service, or send deployment notifications to a custom operations dashboard. With AWS CodePipeline, you can begin refining your software release workflow without the complexities of server setup, enabling you to concentrate entirely on delivering value to your end-users. Furthermore, its intuitive interface and excellent integration capabilities position it as a prime option for teams eager to enhance their deployment processes effectively. This service not only simplifies operations but also fosters a collaborative environment where teams can innovate and adapt quickly.

Media

Media

Integrations Supported

AWS App Mesh
AWS App2Container
AWS Developer Tools
Alibaba Cloud Container Registry
Amazon SageMaker
Amazon Web Services (AWS)
Apica
Causal
ConnectALL
ContextQA
Digital.ai Release
Doctor Droid
Kaholo
MuukTest
SaaS Construct
Snyk
SquaredUp

Integrations Supported

AWS App Mesh
AWS App2Container
AWS Developer Tools
Alibaba Cloud Container Registry
Amazon SageMaker
Amazon Web Services (AWS)
Apica
Causal
ConnectALL
ContextQA
Digital.ai Release
Doctor Droid
Kaholo
MuukTest
SaaS Construct
Snyk
SquaredUp

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

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/pipelines/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/codepipeline/

Categories and Features

Continuous Delivery

Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Configuration Management

Access Control / Permissions
Application Deployment
Automated Provisioning
Infrastructure Automation
Node Management
Orchestration
Reporting Analytics / Visualization
Task Management

Continuous Delivery

Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management

Popular Alternatives

Popular Alternatives

Azure Pipelines Reviews & Ratings

Azure Pipelines

Microsoft