Amazon API Gateway聽vs聽Amazon Kinesis Firehose

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Amazon API Gateway
Amazon API Gateway

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Amazon Kinesis Firehose
Amazon Kinesis Firehose

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Amazon API Gateway vs Amazon Kinesis Firehose: What are the differences?

Developers describe Amazon API Gateway as "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. On the other hand, Amazon Kinesis Firehose is detailed as "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鈥檙e already using today.

Amazon API Gateway can be classified as a tool in the "API Tools" category, while Amazon Kinesis Firehose is grouped under "Real-time Data Processing".

Some of the features offered by Amazon API Gateway are:

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

On the other hand, Amazon Kinesis Firehose provides the following key features:

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

Repro, Intuit, and Simple Merchant are some of the popular companies that use Amazon API Gateway, whereas Amazon Kinesis Firehose is used by Hooroo, Survata, and Drivy. Amazon API Gateway has a broader approval, being mentioned in 167 company stacks & 62 developers stacks; compared to Amazon Kinesis Firehose, which is listed in 32 company stacks and 7 developer stacks.

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What is Amazon API Gateway?

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.

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.
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Why do developers choose Amazon API Gateway?
Why do developers choose Amazon Kinesis Firehose?
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        What companies use Amazon API Gateway?
        What companies use Amazon Kinesis Firehose?

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        What tools integrate with Amazon API Gateway?
        What tools integrate with Amazon Kinesis Firehose?

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        What are some alternatives to Amazon API Gateway and Amazon Kinesis Firehose?
        Apigee
        API management, design, analytics, and security are at the heart of modern digital architecture. The Apigee intelligent API platform is a complete solution for moving business to the digital world.
        Postman
        It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
        Insomnia REST Client
        Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.
        Paw
        Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.
        Runscope
        Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.
        See all alternatives
        Decisions about Amazon API Gateway and Amazon Kinesis Firehose
        Praveen Mooli
        Praveen Mooli
        Technical Leader at Taylor and Francis | 11 upvotes 157.6K views
        MongoDB Atlas
        MongoDB Atlas
        Amazon S3
        Amazon S3
        Amazon DynamoDB
        Amazon DynamoDB
        Amazon RDS
        Amazon RDS
        Serverless
        Serverless
        Docker
        Docker
        Terraform
        Terraform
        Travis CI
        Travis CI
        GitHub
        GitHub
        RxJS
        RxJS
        Angular 2
        Angular 2
        AWS Lambda
        AWS Lambda
        Amazon SQS
        Amazon SQS
        Amazon SNS
        Amazon SNS
        Amazon Kinesis Firehose
        Amazon Kinesis Firehose
        Amazon Kinesis
        Amazon Kinesis
        Flask
        Flask
        Python
        Python
        ExpressJS
        ExpressJS
        Node.js
        Node.js
        Spring Boot
        Spring Boot
        Java
        Java
        #Data
        #Devops
        #Webapps
        #Eventsourcingframework
        #Microservices
        #Backend

        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

        See more
        Interest over time
        Reviews of Amazon API Gateway and Amazon Kinesis Firehose
        No reviews found
        How developers use Amazon API Gateway and Amazon Kinesis Firehose
        Avatar of Simple Merchant
        Simple Merchant uses Amazon API GatewayAmazon API Gateway

        API Gateway in conjunction with Lambda has allowed us to become 'serverless'. We have a number of API endpoints that range from simple CRUD operations, through to triggering chains of complex background jobs. Like Lambda, this service has released us from getting bogged down in infrastructure management, freeing up huge amounts of time to focus on solving business problems.

        Avatar of IndiTip
        IndiTip uses Amazon API GatewayAmazon API Gateway

        It provides me with POST endpoints; I don't run servers and some third-party services need to POST data to my application.

        Avatar of Patty R
        Patty R uses Amazon API GatewayAmazon API Gateway

        Triggers the Lambda function from a GitHub WebHook push into https://github.com/smyleeface/smylee_hugo_site.

        Avatar of Secumail
        Secumail uses Amazon API GatewayAmazon API Gateway

        Excellent API Gateway, some quirks but most are being addressed over time, easy integration with Lambda

        Avatar of Luca Bianchi
        Luca Bianchi uses Amazon API GatewayAmazon API Gateway

        Fast, predictable and reliable API deployment

        How much does Amazon API Gateway cost?
        How much does Amazon Kinesis Firehose cost?
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