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  1. Stackups
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  3. Task Scheduling
  4. Cloud Task Management
  5. Amazon SWF vs Azure Machine Learning

Amazon SWF vs Azure Machine Learning

OverviewComparisonAlternatives

Overview

Amazon SWF
Amazon SWF
Stacks35
Followers79
Votes0
Azure Machine Learning
Azure Machine Learning
Stacks241
Followers373
Votes0

Amazon SWF vs Azure Machine Learning: What are the differences?

What is Amazon SWF? Automate the coordination, auditing, and scaling of applications across multiple machines. Amazon Simple Workflow allows you to structure the various processing steps in an application that runs across one or more machines as a set of “tasks.” Amazon SWF manages dependencies between the tasks, schedules the tasks for execution, and runs any logic that needs to be executed in parallel. The service also stores the tasks, reliably dispatches them to application components, tracks their progress, and keeps their latest state.

What is Azure Machine Learning? A fully-managed cloud service for predictive analytics. Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

Amazon SWF belongs to "Cloud Task Management" category of the tech stack, while Azure Machine Learning can be primarily classified under "Machine Learning as a Service".

Some of the features offered by Amazon SWF are:

  • Maintaining application state
  • Tracking workflow executions and logging their progress
  • Holding and dispatching tasks

On the other hand, Azure Machine Learning provides the following key features:

  • Designed for new and experienced users
  • Proven algorithms from MS Research, Xbox and Bing
  • First class support for the open source language R

According to the StackShare community, Azure Machine Learning has a broader approval, being mentioned in 12 company stacks & 8 developers stacks; compared to Amazon SWF, which is listed in 11 company stacks and 3 developer stacks.

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Detailed Comparison

Amazon SWF
Amazon SWF
Azure Machine Learning
Azure Machine Learning

Amazon Simple Workflow allows you to structure the various processing steps in an application that runs across one or more machines as a set of “tasks.” Amazon SWF manages dependencies between the tasks, schedules the tasks for execution, and runs any logic that needs to be executed in parallel. The service also stores the tasks, reliably dispatches them to application components, tracks their progress, and keeps their latest state.

Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

Maintaining application state;Tracking workflow executions and logging their progress;Holding and dispatching tasks;Controlling which tasks each of your application hosts will be assigned to execute
Designed for new and experienced users;Proven algorithms from MS Research, Xbox and Bing;First class support for the open source language R;Seamless connection to HDInsight for big data solutions;Deploy models to production in minutes;Pay only for what you use. No hardware or software to buy
Statistics
Stacks
35
Stacks
241
Followers
79
Followers
373
Votes
0
Votes
0
Integrations
No integrations available
Microsoft Azure
Microsoft Azure

What are some alternatives to Amazon SWF, Azure Machine Learning?

AWS Step Functions

AWS Step Functions

AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.

NanoNets

NanoNets

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.

Inferrd

Inferrd

It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

GraphLab Create

GraphLab Create

Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

AI Video Generator

AI Video Generator

Create AI videos at 60¢ each - 50% cheaper than Veo3, faster than HeyGen. Get 200 free credits, no subscription required. PayPal supported. Start in under 2 minutes.

BigML

BigML

BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.

Vexub

Vexub

Create high-quality videos in seconds with Vexub’s AI generator, turning your text or audio into ready-to-publish content for TikTok, YouTube Shorts, and other short-form platforms

Image to Video AI: Easy AI Image Animator Online

Image to Video AI: Easy AI Image Animator Online

Instantly transform any static image into a dynamic, engaging video with our AI image animator. Create stunning animations, moving photos, and captivating visual stories in seconds. No editing skills required.

SAM 3D

SAM 3D

Explore SAM 3D to reconstruct 3D objects, people and scenes from a single image. Build 3D assets faster with SAM 3D Objects and SAM 3D Body.

Page d'accueil

Page d'accueil

Thaink² Analytics, la plateforme data et IA de nouvelles génération pour gérer vos projets de bout-en-bout. Fini les pipelines de données instables, les modèles ML/IA qui restent au stade du POC.

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