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Description

With Amazon SageMaker Pipelines, you can effortlessly develop machine learning workflows using a user-friendly Python SDK, while also managing and visualizing your workflows in Amazon SageMaker Studio. By reusing and storing the steps you create within SageMaker Pipelines, you can enhance efficiency and accelerate scaling. Furthermore, built-in templates allow for rapid initiation, enabling you to build, test, register, and deploy models swiftly, thereby facilitating a CI/CD approach in your machine learning setup. Many users manage numerous workflows, often with various versions of the same model. The SageMaker Pipelines model registry provides a centralized repository to monitor these versions, simplifying the selection of the ideal model for deployment according to your organizational needs. Additionally, SageMaker Studio offers features to explore and discover models, and you can also access them via the SageMaker Python SDK, ensuring versatility in model management. This integration fosters a streamlined process for iterating on models and experimenting with new techniques, ultimately driving innovation in your machine learning projects.

Description

Scalable Python framework designed to build real-time intelligent applications, data pipelines, and integrate AI/ML models

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 No 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Apache Kafka No 
MongoDB No 
MySQL No 
PostgreSQL No 
Python No 
Rust No 
Tangentia TiA Gateway No 

Integrations

Amazon S3 Yes 
Amazon SageMaker No 
Amazon Web Services (AWS) No 
Apache Kafka Yes 
MongoDB Yes 
MySQL Yes 
PostgreSQL Yes 
Python Yes 
Rust Yes 
Tangentia TiA Gateway Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

2006

Country

United States

Website

aws.amazon.com/sagemaker/pipelines/

Vendor Details

Company Name

Pathway

Founded

2020

Country

France

Website

pathway.com

Product Features

Continuous Delivery

Application Lifecycle Management No 
Application Release Automation No 
Build Automation No 
Build Log No 
Change Management No 
Configuration Management No 
Continuous Deployment No 
Continuous Integration No 
Feature Toggles / Feature Flags No 
Quality Management No 
Testing Management No 

Continuous Integration

Build Log No 
Change Management No 
Configuration Management No 
Continuous Delivery No 
Continuous Deployment No 
Debugging No 
Permission Management No 
Quality Assurance Management No 
Testing Management No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Artificial Intelligence

Chatbot Yes 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning Yes 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics Yes 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Logistics

3PL No 
Barcoding / RFID No 
CRM No 
Container Tracking No 
Cross Docking No 
Fleet Management No 
Inventory Management No 
Order Management No 
Purchasing No 
Scheduling No 
Shipping Management No 
Transportation Management No 

Machine Learning

Deep Learning No 
ML Algorithm Library Yes 
Model Training No 
Natural Language Processing (NLP) Yes 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization No 

Alternatives

Alternatives

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