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  1. Stackups
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  4. Machine Learning As A Service
  5. Amazon API Gateway vs Azure Machine Learning

Amazon API Gateway vs Azure Machine Learning

OverviewComparisonAlternatives

Overview

Azure Machine Learning
Azure Machine Learning
Stacks241
Followers373
Votes0
Amazon API Gateway
Amazon API Gateway
Stacks1.4K
Followers1.1K
Votes45

Amazon API Gateway vs Azure Machine Learning: What are the differences?

Amazon API Gateway: Create, publish, maintain, monitor, and secure APIs at any scale. Amazon API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, authorization and access control, monitoring, and API version management; 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 API Gateway can be classified as a tool in the "API Tools" category, while Azure Machine Learning is grouped under "Machine Learning as a Service".

Some of the features offered by Amazon API Gateway are:

  • Build, Deploy and Manage APIs
  • Resiliency
  • API Lifecycle Management

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

Intuit, Repro, and Zumba are some of the popular companies that use Amazon API Gateway, whereas Azure Machine Learning is used by Microsoft, Bluebeam Software, and Petra. Amazon API Gateway has a broader approval, being mentioned in 170 company stacks & 65 developers stacks; compared to Azure Machine Learning, which is listed in 12 company stacks and 8 developer stacks.

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Detailed Comparison

Azure Machine Learning
Azure Machine Learning
Amazon API Gateway
Amazon API Gateway

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 API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, authorization and access control, monitoring, and API version management.

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
Build, Deploy and Manage APIs; Resiliency;API Lifecycle Management;SDK Generation;API Operations Monitoring;AWS Authorization;API Keys for Third-Party Developers
Statistics
Stacks
241
Stacks
1.4K
Followers
373
Followers
1.1K
Votes
0
Votes
45
Pros & Cons
No community feedback yet
Pros
  • 37
    AWS Integration
  • 7
    Websockets
  • 1
    Serverless
Cons
  • 2
    No websocket broadcast
  • 1
    Less expensive
Integrations
Microsoft Azure
Microsoft Azure
AWS Lambda
AWS Lambda
Amazon CloudWatch
Amazon CloudWatch

What are some alternatives to Azure Machine Learning, Amazon API Gateway?

Kong

Kong

Kong is a scalable, open source API Layer (also known as an API Gateway, or API Middleware). Kong controls layer 4 and 7 traffic and is extended through Plugins, which provide extra functionality and services beyond the core platform.

Tyk Cloud

Tyk Cloud

Tyk is a leading Open Source API Gateway and Management Platform, featuring an API gateway, analytics, developer portal and dashboard. We power billions of transactions for thousands of innovative organisations.

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.

Moesif

Moesif

Build a winning API platform with instant, meaningful visibility into API usage and customer adoption

Ambassador

Ambassador

Map services to arbitrary URLs in a single, declarative YAML file. Configure routes with CORS support, circuit breakers, timeouts, and more. Replace your Kubernetes ingress controller. Route gRPC, WebSockets, or HTTP.

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.

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.

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.

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