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The future is bright Mar 30, 2025 On Amazon Prime Video’s move to a monolith May 14, 2023 One size does not fit all: neither cloud nor on-prem Apr 10, 2023 Some thoughts on the latest LastPass fiasco Mar 5, 2023 Comparing AWS SQS, SNS, and Kinesis: A Technical Breakdown for Enterprise Developers Feb 11, 2023 There is no such thing as one grand unified full-stack programming language May 27, 2022 Which AWS messaging and queuing service to use? Jan 25, 2019 Using Markov Chain Generator to create Donald Trump's state of union speech Jan 20, 2019 Adobe Creative Cloud is an example of iPad replacing a laptop Jan 3, 2019 Facebook is the new Microsoft Apr 14, 2018 Leaving Facebook and Twitter: here are the alternatives Mar 25, 2018 Rather than innovating Walmart bullies their tech vendors to leave AWS Jun 27, 2017 Architecting API ecosystems: my interview with Anthony Brovchenko of R. Culturi Jun 5, 2017 TDWI 2017, Chicago, IL: Architecting Modern Big Data API Ecosystems May 30, 2017 Online grocers have an additional burden to be reliable Jan 5, 2017 Windows 10: a confession from an iOS traitor Jan 4, 2017 What I learned from using Amazon Alexa for a month Sep 7, 2016 Why I switched to Android and Google Project Fi and why should you Aug 28, 2016 Amazon Alexa is eating the retailers alive Jun 22, 2016 In search for the mythical neutrality among top-tier public cloud providers Jun 18, 2016 What can we learn from the last week's salesforce.com outage ? May 15, 2016 Why it makes perfect sense for Dropbox to leave AWS May 7, 2016 Our civilization has a single point of failure Dec 16, 2015 IT departments must transform in the face of the cloud revolution Nov 9, 2015 Setting Up Cross-Region Replication of AWS RDS for PostgreSQL Sep 12, 2015 Top Ten Differences Between ActiveMQ and Amazon SQS Sep 5, 2015 What Every College Computer Science Freshman Should Know Aug 14, 2015 Ten Questions to Consider Before Choosing Cassandra Aug 8, 2015 Big Data Should Be Used To Make Ads More Relevant Jul 29, 2015 Book Review: "Shop Class As Soulcraft" By Matthew B. Crawford Jul 5, 2015 Attracting STEM Graduates to Traditional Enterprise IT Jul 4, 2015 Smart IT Departments Own Their Business API and Take Ownership of Data Governance May 13, 2015 Guaranteeing Delivery of Messages with AWS SQS May 9, 2015 We Need a Cloud Version of Cassandra May 7, 2015 The Clarkson School Class of 2015 Commencement speech May 5, 2015 Building a Supercomputer in AWS: Is it even worth it ? Apr 13, 2015 Ordered Sets and Logs in Cassandra vs SQL Apr 8, 2015 Microsoft and Apple Have Everything to Lose if Chromebooks Succeed Mar 31, 2015 Where AWS Elastic BeanStalk Could be Better Mar 3, 2015 Trying to Replace Cassandra with DynamoDB ? Not so fast Feb 2, 2015 Why I am Tempted to Replace Cassandra With DynamoDB Nov 13, 2014 Infrastructure in the cloud vs on-premise Aug 25, 2014 Cassandra: a key puzzle piece in a design for failure Aug 18, 2014 Cassandra: Lessons Learned Jun 6, 2014 Things I wish Apache Cassandra was better at Feb 12, 2014

Comparing AWS SQS, SNS, and Kinesis: A Technical Breakdown for Enterprise Developers

February 11, 2023

Queuing is a critical component of software architecture, and choosing the right system for your cloud-native enterprise application is crucial. In this blog post, we'll compare Amazon Simple Queue Service(SQS), Amazon Simple Notification Service (SNS), and Amazon Kinesis, exploring their strengths and weaknesses to help you determine which queuing system is best suited for your use case. 




Some background




Queuing is a fundamental aspect of software architecture that enables applications to manage incoming requests and prioritize tasks. It acts as a buffer between the application and its clients, allowing the application to process requests in an orderly and efficient manner. Queues can significantly improve performance, reliability, and scalability, especially in high-traffic or resource-intensive environments.



There are several types of queuing systems, including message queues, task queues, and event-driven queues. Message queues allow applications to exchange messages with each other, while task queues prioritize and manage long-running tasks. Event-driven queues allow applications to react to events in real time. Each type of queuing system has its use cases and benefits, and choosing the right one for your application depends on your specific requirements. Understanding the importance of queuing and its different types is essential for building a robust and scalable software architecture.




Amazon SQS




Amazon Simple Queue Service (SQS) is a highly scalable, fully managed message queuing service offered by AWS. It provides a distributed message queue for decoupling the components of a cloud-native enterprise application. With SQS, you can send, store, and receive messages between services, enabling asynchronous communication and helping to ensure that your application remains highly available and responsive.



SQS offers several key features, including support for standard and FIFO queues, the ability to send and receive an unlimited number of messages, and automatic scaling to handle changes in traffic. It also guarantees durability, ensuring that messages are stored redundantly across multiple availability zones. SQS can help you build scalable, reliable, and cost-effective cloud-native enterprise applications with these features. 




Amazon SNS




Amazon Simple Notification Service (SNS) is a flexible publish-subscribe messaging service offered by AWS. SNS enables you to send messages to multiple subscribers, including other AWS services, HTTP/S endpoints, email addresses, and mobile devices, allowing you to build applications that react to events in real time. SNS is often used in conjunction with other AWS services to build event-driven architectures, where components of an application can respond to changes in the environment in real time.



SNS offers support for multiple message formats, the ability to publish messages to multiple subscribers, and automatic retries in the event of delivery failures. It also guarantees durability, ensuring that messages are stored redundantly across multiple availability zones. SNS is an ideal solution for building highly scalable, reliable, and cost-effective cloud-native enterprise applications that require real-time event-driven processing. 




Amazon Kinesis




Kinesis allows you to collect, process, and analyze real-time data streams from multiple sources, including IoT devices, mobile apps, website clickstreams, and logs. Kinesis provides a real-time data processing platform that enables you to process and analyze large amounts of data in real time, making it an ideal solution for building real-time data-driven applications.



Kinesis supports real-time data processing, automatic scaling to handle changes in traffic, and the ability to handle millions of events per second. It also guarantees durability, ensuring data is stored redundantly across multiple availability zones. Kinesis is an ideal solution for building highly scalable, reliable, and cost-effective cloud-native enterprise applications that require real-time data processing and analysis. 




Side-by-side comparison of SQS, SNS and Kinesis: top 10





SQSSNSKinesis
PurposeA message queue service for decoupling components of an applicationA publish-subscribe messaging service for real-time event-driven processingA data streaming service for real-time data processing and analysis
Maximum message size256 KB256 KB for SMS, 2 KB for all others1 MB
Delivery guaranteeAt least onceBest effortOrdered, real-time
OrderingFIFO (best effort for standard)No guaranteeFIFO
Visibility timeoutUp to 12 hoursNoneNone
RetriesAutomated retries, configurableAutomated retriesNo retries, requires coding
SubscribersOne subscriberMultiple subscriberOne subscriber
Data retentionUp to 14 daysNoneUp to 24 hours, configurable up to 1 year
Realtime processingAsynchronousRealtimeRealtime
CostCheap for most use caseExpensive for high frequency useCan get expensive when processing large amounts of data




Integration and interoperability




Integration and interoperability are important considerations when choosing a queuing system for your cloud-native enterprise application. Integrating with other AWS services and external systems can significantly enhance the functionality and efficiency of your application. It is essential to carefully evaluate your requirements and consider the available options for integrating and interoperating with other systems.



Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), and Amazon Kinesis can all be integrated with other AWS services and external systems. For example, SQS can be integrated with Amazon Lambda to trigger serverless functions in response to messages in a queue. SNS can be integrated with Amazon SES to send email notifications, and Kinesis can be integrated with Amazon Redshift for real-time data analysis. These integrations can be accomplished using the AWS Management Console, APIs, and SDKs. Additionally, all three services can be integrated with external systems using the HTTP/S protocol, enabling you to build complex, multi-tier architectures that span multiple cloud and on-premises environments.




Some final thoughts




In conclusion, choosing the right queuing system for your cloud-native enterprise application can significantly enhance your application's functionality, reliability, and performance. Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), and Amazon Kinesis are all highly scalable, fully managed, and flexible queuing systems offered by AWS. SQS is a message queue service for decoupling components of an application, SNS is a publish-subscribe messaging service for real-time event-driven processing, and Kinesis is a data streaming service for real-time data processing and analysis. When deciding which queuing system to use, it is important to carefully evaluate your requirements, consider the available options for integration and interoperability, and choose the solution that best fits your needs.