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Comparing Amazon SQS, Amazon Kinesis, and Amazon EventBridge: Which is the Best Choice for Your…

Comparing Amazon SQS, Amazon Kinesis, and Amazon EventBridge: Which is the Best Choice for Your Cloud Solution?

We dicussed the variations and functionalities of Azure Service Bus, Azure Event Hub, as wells azure event grid an important services from Microsoft Scalar for managent events and messages recently in a different paper. We shift our focus to AWS, another significant competitor of Azure in cloud computing arena. In this article, we will examine AWS’s equivalent services: Amazon SQS, Kinesis and EventBridge. As we did with the latter’s services, here too will shed a reflectionary light on issues pertaining the traits; usage scenarios and ideal settings of each one among these AWS services which should serve to make prospective choices easier regarding diverse architectural demands.

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What They Are and When to Use

Amazon Simple Queue Service (SQS)

https://docs.aws.amazon.com/pt_br/sdk-for-javascript/v2/developer-guide/images/code-samples-sqs.png

Description: Amazon SQS is an asynchronous queuing service that allows for microservice decoupling and scaling of processes in distributed systems such as serverless applications.

Use cases: Suitable for effective messaging, load balancing between operation modes and application elements splitting.

Amazon Kinesis

https://docs.aws.amazon.com/pt_br/streams/latest/dev/images/architecture.png

Description: Amazon Kinesis is a data streaming service which processes and transforms huge amount of data in real time.

Use cases: Telemetry application logs and Event processing for use in analytics processes throughout the data.

Amazon EventBridge

https://miro.medium.com/v2/resize:fit:1400/1*YQAVFovDNROQ3xbQsHTu9g.png

Description: EventBridge is a serverless event bus service that allows this application to interact with data and system.

Use cases: It is applicable for event-driven designs, workflow automation and AWS services.

Detailed Comparison

Features

  • SQS: It offers stand and FIFO queues for message handling.
  • Kinesis: Focuses on the real-time flow of data which is capable of processing and even to analyze large volumes.
  • EventBridge: Enable rule creation to guide the flow of events from one application or AWS service toward another’s.

Scalability and Performance

  • SQS: It is highly scalable with a high throughput.
  • Kinesis: Designed to handle large volumes of streaming data in real-time.
  • EventBridge: With good scalability and routing efficiency in terms of events.

Cost

  • SQS: The prices are charged based on the numbers of messages received and sent.
  • Kinesis: Their pricing is based on the streaming processing capability and amount of data transferred.
  • EventBridge: Priced by cost per event and invocation

Integration and Ease of Use

  • SQS: Integration with other AWS services and applications is a freedom.
  • Kinesis: It provides programmes for processing and analysis of data as well as integration.
  • EventBridge: It is a rather simple configuration to allow the integration between AWS services and third-party applications.

Conclusion

Depending on the specifics of your applications, Amazon SQS, Kinesis and EventBridge are chosen. If decoupling is important with commitment assuredness and procusing messages then one should utilize SQS. Kinesis proves to be uniquely fit for in real-time data analysis and processing of large volume. EventBridge is ideal in event-driven architectures given that communication between services and applications are seamless. Consider your needs in order to select among the suitable services.

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