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What is Amazon Kinesis Firehose?

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鈥檙e already using today.
Amazon Kinesis Firehose is a tool in the Real-time Data Processing category of a tech stack.

Who uses Amazon Kinesis Firehose?

Companies
60 companies reportedly use Amazon Kinesis Firehose in their tech stacks, including Hooroo, Survata, and Drivy.

Developers
35 developers on StackShare have stated that they use Amazon Kinesis Firehose.

Amazon Kinesis Firehose Integrations

Why developers like Amazon Kinesis Firehose?

Here鈥檚 a list of reasons why companies and developers use Amazon Kinesis Firehose
Top Reasons
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Amazon Kinesis Firehose Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Amazon Kinesis Firehose in their tech stack.

Praveen Mooli
Praveen Mooli
Technical Leader at Taylor and Francis | 11 upvotes 217K views
MongoDB Atlas
MongoDB Atlas
Java
Java
Spring Boot
Spring Boot
Node.js
Node.js
ExpressJS
ExpressJS
Python
Python
Flask
Flask
Amazon Kinesis
Amazon Kinesis
Amazon Kinesis Firehose
Amazon Kinesis Firehose
Amazon SNS
Amazon SNS
Amazon SQS
Amazon SQS
AWS Lambda
AWS Lambda
Angular 2
Angular 2
RxJS
RxJS
GitHub
GitHub
Travis CI
Travis CI
Terraform
Terraform
Docker
Docker
Serverless
Serverless
Amazon RDS
Amazon RDS
Amazon DynamoDB
Amazon DynamoDB
Amazon S3
Amazon S3
#Backend
#Microservices
#Eventsourcingframework
#Webapps
#Devops
#Data

We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

To build #Webapps we decided to use Angular 2 with RxJS

#Devops - GitHub , Travis CI , Terraform , Docker , Serverless

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Glenn Gillen
Glenn Gillen
at Glenn Gillen | 4 upvotes 2.9K views
AWS Lambda
AWS Lambda
Amazon Kinesis Firehose
Amazon Kinesis Firehose
Amazon S3
Amazon S3

I'm currently building out a Twitter analysis tool that's using AWS Lambda to stream data into Amazon Kinesis Firehose, which in turns saves the result to Amazon S3. The plan is to have Amazon S3 operate as both a data store and quasi-messaging bus with any post-processing work (e.g., notifications of new tweets going into Slack) fanning out from there. I went with this approach as I can get things up and running quickly and only pay for things on a pay-per-use basis rather than having lots of worker nodes sitting around waiting for work. Amazon Kinesis Firehose also makes it easy to add a different or additional data store in the future.

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Amazon Kinesis Firehose's Features

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

Amazon Kinesis Firehose Alternatives & Comparisons

What are some alternatives to Amazon Kinesis Firehose?
Stream
Stream allows you to build scalable feeds, activity streams, and chat. Stream鈥檚 simple, yet powerful API鈥檚 and SDKs are used by some of the largest and most popular applications for feeds and chat. SDKs available for most popular languages.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
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.
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.

Amazon Kinesis Firehose's Followers
37 developers follow Amazon Kinesis Firehose to keep up with related blogs and decisions.
Diego Pessoa
Dien Phan
Mike Elsmore
Himansu Sekhar
Mohamma76685757
Mark Rebhan
Arun Kumar
Eduardo Navarro
Tyler Churchill
Kazi Manzur Rashid