Software Alternatives, Accelerators & Startups

Amazon Kinesis Firehose VS Azure Machine Learning Studio

Compare Amazon Kinesis Firehose VS Azure Machine Learning Studio and see what are their differences

Amazon Kinesis Firehose logo Amazon Kinesis Firehose

Amazon Kinesis Firehose can capture, transform, and load streaming data into AWS.

Azure Machine Learning Studio logo Azure Machine Learning Studio

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
  • Amazon Kinesis Firehose Landing page
    Landing page //
    2023-04-12
  • Azure Machine Learning Studio Landing page
    Landing page //
    2021-08-03

Amazon Kinesis Firehose videos

Introduction to Amazon Kinesis Firehose

More videos:

  • Review - Stream Data Analytics with Amazon Kinesis Firehose and Redshift

Azure Machine Learning Studio videos

Azure Machine Learning Studio

More videos:

  • Review - Introduction to Microsoft Azure Machine Learning Studio & Services

Category Popularity

0-100% (relative to Amazon Kinesis Firehose and Azure Machine Learning Studio)
Data Dashboard
100 100%
0% 0
Data Science And Machine Learning
Data Management
100 100%
0% 0
Machine Learning
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Amazon Kinesis Firehose should be more popular than Azure Machine Learning Studio. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Kinesis Firehose mentions (6)

  • What is an event-driven architecture and why storing events is important ?
    First, you may not know the Kinesis Data Firehose service. Here's the AWS definition: Amazon Kinesis Data Firehose is an Extract, Transform, and Load (ETL) service that captures, transforms, and reliably delivers streaming data to data lakes, data stores, and analytics services. (https://aws.amazon.com/kinesis/data-firehose/). - Source: dev.to / over 1 year ago
  • Serverless Event Driven AI as a Service
    As you can see in the diagram, we are feeding all events from Event Bus via a catch-all rule into Kinesis Data Firehose. Firehose is a fully managed service that streams into specific destinations like Data Warehouses or Data Lakes. Unlike it's bigger brother of using Kinesis Data Streams directly, there are no setting up of shards and it's mostly configuration free. We are only defining a buffer interval which is... - Source: dev.to / over 1 year ago
  • Logging EventBridge events to S3 with Firehose
    When using EventBridge I always log all events to an S3 bucket for auditing, analytics and debugging purposes. A super easy method to do this is to create a Kinesis Data Firehose stream and create a rule that captures all events that points to the Firehose stream. The Firehose stream can then flush the events on S3 in an interval/size of choice based on configuration. - Source: dev.to / almost 2 years ago
  • S3 Isn't Getting Cheaper
    Have you looked at Kinesis Firehose? It was pretty much build for this use case although you will still need to see if you can define a partitioning scheme probably in combination with an S3 Select query to meet your query requirements. https://aws.amazon.com/kinesis/data-firehose/?nc=sn&loc=0. - Source: Hacker News / almost 2 years ago
  • Advice on S3 Application
    Is continuous backup important ? e.g. If the stuff fails for one day and you lose that day's upload is that ok? Do you want it to push updates more frequently than once a day? If you want to continuously push updates then Kinesis Firehose might be worth looking into. Source: over 2 years ago
View more

Azure Machine Learning Studio mentions (2)

  • What are all possible FREE Machine Learning integrations with Power BI?
    Machine Learning studio https://studio.azureml.net/ but this will be discontinued in Dec 01,2021 :(. Source: over 2 years ago
  • Stumbling into BI as a job role and need advice
    Advanced analytics, predictive modeling: You can't go passed learning R or Python if you're that way inclined.. however, if you're a GUI monkey like me, I have had a fair amount of success using https://studio.azureml.net/ it's free at base level :). Source: almost 3 years ago

What are some alternatives?

When comparing Amazon Kinesis Firehose and Azure Machine Learning Studio, you can also consider the following products

Analytics Canvas - Analytics Canvas is a data management platform with a specific focus on Google data tools, enabling self-serve data preparation and automation for those working with Analytics, Ads, Search Console, Sheets, BigQuery, Data Studio and more.

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Data Scientist Workbench - A web-based notebook that enables interactive data analytics.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Talend Data Preparation - Talend Data Preparation combines intuitive self-service data preparation and data curation tools with data integration to accelerate data usage across the organization.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.