What is the difference between Amazon SNS and Amazon SQS?
System Design practice on Codemia
Work through 120+ system design problems with detailed solutions, from rate limiters to multi-region storage.
Overview
Amazon Web Services (AWS) offers a variety of messaging services to facilitate communication between application components. Two of the most popular are Amazon Simple Notification Service (SNS) and Amazon Simple Queue Service (SQS). Each serves a distinct purpose but can be combined for robust and scalable solutions. This article aims to elucidate the differences between these services, their technical features, and how they can be effectively used in various scenarios.
Key Differences
Amazon SNS and SQS are often used in tandem, yet they serve different primary functions. Amazon SNS is a fully managed pub/sub messaging service, while Amazon SQS is a message queue service.
Here's a breakdown of key differences:
| Feature | Amazon SNS | Amazon SQS |
| Service Type | Pub/Sub (Publish/Subscribe) | Queue |
| Message Model | Push-based | Pull-based |
| Delivery Mechanism | Messages are sent to multiple subscribers | Messages are held in queue until consumed |
| Message Filtering | Supports filtering of messages per subscription | Does not have built-in message filtering capabilities |
| Number of Subscribers/Consumers | Supports multiple subscribers for a single topic | Messages are consumed by one consumer |
| Duplicity | Attempts to deliver each message at least once | Offers Standard and FIFO queues to manage duplicity |
Technical Explanation
Amazon SNS
Amazon SNS decouples microservices, distributed systems, and serverless applications by providing a mechanism for "publish-subscribe" messaging. SNS allows multiple consumers to receive the same message and can deliver messages to a variety of endpoints such as:
- HTTP/HTTPS
- Email/Email-JSON
- SMS
- AWS Lambda
- SQS
To use SNS, you first create a topic, to which consumers can subscribe. Publishers send the message to the SNS topic, which in turn is directed to all topic subscribers.
Example Use Case: A weather alert system where a single alert (e.g., a storm warning) needs to be sent to multiple recipients across different communication channels, including email and SMS notifications.
Amazon SQS
Amazon SQS provides a mechanism to decouple the components each producing and consuming messages asynchronously. It supports two types of queues:
- Standard Queue: Offers a "best-effort" ordering and delivery at least once.
- FIFO Queue: Ensures that messages are processed exactly once and maintain the order of sending.
SQS is ideal for distributed applications that need reliable message queuing.
Example Use Case: Managing task queues where each message needs to be processed once, such as processing user data uploads or video files.
Key Scenarios
Decoupling Systems
- Scenario: Using SNS and SQS together allows you to create complex systems where the producer of a message does not need to be concerned with how the message is processed. For instance, a web application can publish a message to an SNS topic. Different processing units each consume the message from their respective SQS queues that are subscribed to this topic.
Fan-out Pattern
- Scenario: SNS can be used to fan out messages to SQS queues. This is useful for processing workloads in parallel, allowing for different systems to process the message independently.
Additional Considerations
- Scaling: Both SNS and SQS automatically scale to handle an increasing or decreasing workload.
- Durability: Messages sent to a SNS topic are stored across multiple data centers for redundancy and durability, whereas SQS stores messages redundantly across multiple servers and data centers.
- AWS Integration: Both services easily integrate with other AWS services such as AWS Lambda for serverless solutions, Amazon CloudWatch for monitoring, and AWS Identity and Access Management (IAM) for secure resource access.
Conclusion
While both Amazon SNS and SQS serve distinct purposes in cloud-native applications, understanding their individual and combined usage scenarios greatly enhances architectural capabilities. By effectively using these services, developers can design robust systems that are decoupled, scalable, and flexible, meeting a wide range of application messaging requirements.
Related reading
- What is the difference between AWS ASG Launch Templates and Launch Configurations?
- What is the difference between AWS_DEFAULT_REGION and AWS_REGION system variables?
- What is the difference between AWS ElastiCache Cluster and AWS ElastiCache Replication Group?
- What is the difference between AWS PrivateLink and VPC Peering?
- What is the difference between commands and container_commands configuration keys in Beanstalk?
- What is the difference between ecs.amazonaws.com and ecs-tasks.amazonaws.com?
- What is the difference between Elastic Beanstalk and CloudFormation for a .NET project?
- What is the Difference between file_upload and put_object when uploading files to S3 using boto3

System Design Fundamentals
Build a strong foundation in designing scalable, reliable distributed systems.
View the courseTrack what you have practised
A free account saves your progress, solutions and study plan across every problem on Codemia.
System Design practice on Codemia
Work through 120+ system design problems with detailed solutions, from rate limiters to multi-region storage.