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  1. Stackups
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  4. Machine Learning As A Service
  5. Amazon Kinesis Firehose vs Azure Machine Learning

Amazon Kinesis Firehose vs Azure Machine Learning

OverviewComparisonAlternatives

Overview

Azure Machine Learning
Azure Machine Learning
Stacks241
Followers373
Votes0
Amazon Kinesis Firehose
Amazon Kinesis Firehose
Stacks239
Followers185
Votes0

Amazon Kinesis Firehose vs Azure Machine Learning: What are the differences?

Amazon Kinesis Firehose: Simple and Scalable Data Ingestion. Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture and automatically load streaming data into Amazon S3 and Amazon Redshift, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today; 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 Kinesis Firehose and Azure Machine Learning are primarily classified as "Real-time Data Processing" and "Machine Learning as a Service" tools respectively.

Some of the features offered by Amazon Kinesis Firehose are:

  • Easy-to-Use
  • Integrated with AWS Data Stores
  • Automatic Elasticity

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

Hooroo, Survata, and Drivy are some of the popular companies that use Amazon Kinesis Firehose, whereas Azure Machine Learning is used by Microsoft, Bluebeam Software, and Petra. Amazon Kinesis Firehose has a broader approval, being mentioned in 33 company stacks & 9 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 Kinesis Firehose
Amazon Kinesis Firehose

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 Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture and automatically load streaming data into Amazon S3 and Amazon Redshift, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today.

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
Easy-to-Use;Integrated with AWS Data Stores;Automatic Elasticity;Near Real-time
Statistics
Stacks
241
Stacks
239
Followers
373
Followers
185
Votes
0
Votes
0
Integrations
Microsoft Azure
Microsoft Azure
Amazon S3
Amazon S3
Amazon Redshift
Amazon Redshift

What are some alternatives to Azure Machine Learning, Amazon Kinesis Firehose?

Google Cloud Dataflow

Google Cloud Dataflow

Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.

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.

Amazon Kinesis

Amazon Kinesis

Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.

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.

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.

Sketch To

Sketch To

Instantly convert images to sketches online for free with our powerful AI sketch generator. Need more power? Upgrade to our Professional model for industry-leading results.

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