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Amazon SQS vs MSMQ: What are the differences?

Key Differences between Amazon SQS and MSMQ

Introduction

In this article, we will explore the key differences between Amazon Simple Queue Service (SQS) and Microsoft Message Queue (MSMQ).

  1. Architecture and Management:

    • Amazon SQS is a fully-managed service provided by AWS, which means that the infrastructure and maintenance tasks are handled by AWS. It utilizes a distributed architecture to ensure high availability and fault tolerance.
    • MSMQ, on the other hand, is a software-based application that needs to be installed and managed on a server. It relies on the server's resources for its functioning and does not provide built-in high availability or fault tolerance features.
  2. Messaging Patterns:

    • Amazon SQS supports both standard and FIFO (First-In-First-Out) messaging patterns, giving developers the flexibility to choose the most appropriate pattern for their use case. FIFO queues ensure that the order in which messages are sent and received is strictly preserved.
    • MSMQ only supports the standard messaging pattern, where messages are delivered in a best-effort manner without any guarantees on ordering or message delivery.
  3. Scalability and Throughput:

    • Amazon SQS is designed to handle a virtually unlimited number of messages and offers high throughput capabilities. It automatically scales based on the workload and can handle bursty traffic patterns effectively.
    • MSMQ has limitations on scalability and throughput, as it relies on the resources of the server it is installed on. It may require additional capacity planning and configuration to handle increased workloads.
  4. Message Size and Visibility Timeout:

    • Amazon SQS allows messages of up to 256 KB in size. It also provides a visibility timeout feature, which allows a message to be temporarily invisible to other consumers after it has been fetched from the queue, preventing multiple consumers from processing the same message concurrently.
    • MSMQ has a message size limit of 4 MB and does not include a built-in visibility timeout mechanism. Developers need to implement custom logic to handle message visibility and preventing duplicate processing.
  5. Integration with Serverless and Event-Driven Architectures:

    • Amazon SQS is seamlessly integrated with various AWS services, making it a suitable choice for serverless and event-driven architectures. It can be easily integrated with AWS Lambda, Amazon SNS, and other services to build scalable and event-driven systems.
    • MSMQ is primarily designed for use within on-premises Windows environments and does not offer native integration with cloud-based serverless architectures. It may require additional integration efforts to integrate with cloud-based services.
  6. Pricing Models:

    • Amazon SQS pricing is based on the number of requests made, the message data size, and additional features like dead-letter queues. It offers a pay-as-you-go model, allowing users to pay only for the resources they consume.
    • MSMQ is a part of the Windows operating system and does not have separate pricing. However, the cost of managing and maintaining the underlying server infrastructure needs to be considered.

In summary, Amazon SQS is a fully-managed, scalable, and highly available messaging service with support for various messaging patterns and seamless integration with cloud services. MSMQ, on the other hand, is a software-based application that needs to be managed and may have limitations on scalability and integration with cloud-based architectures.

Advice on Amazon SQS and MSMQ
MITHIRIDI PRASANTH
Software Engineer at LightMetrics · | 4 upvotes · 288.6K views
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Amazon MQAmazon MQ
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Amazon SQSAmazon SQS
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I want to schedule a message. Amazon SQS provides a delay of 15 minutes, but I want it in some hours.

Example: Let's say a Message1 is consumed by a consumer A but somehow it failed inside the consumer. I would want to put it in a queue and retry after 4hrs. Can I do this in Amazon MQ? I have seen in some Amazon MQ videos saying scheduling messages can be done. But, I'm not sure how.

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Replies (1)
Andres Paredes
Lead Senior Software Engineer at InTouch Technology · | 1 upvotes · 219.8K views
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Mithiridi, I believe you are talking about two different things. 1. If you need to process messages with delays of more 15m or at specific times, it's not a good idea to use queues, independently of tool SQM, Rabbit or Amazon MQ. you should considerer another approach using a scheduled job. 2. For dead queues and policy retries RabbitMQ, for example, doesn't support your use case. https://medium.com/@kiennguyen88/rabbitmq-delay-retry-schedule-with-dead-letter-exchange-31fb25a440fc I'm not sure if that is possible SNS/SQS support, they have a maximum delay for delivery (maxDelayTarget) in seconds but it's not clear the number. You can check this out: https://docs.aws.amazon.com/sns/latest/dg/sns-message-delivery-retries.html

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Pros of Amazon SQS
Pros of MSMQ
  • 62
    Easy to use, reliable
  • 40
    Low cost
  • 28
    Simple
  • 14
    Doesn't need to maintain it
  • 8
    It is Serverless
  • 4
    Has a max message size (currently 256K)
  • 3
    Triggers Lambda
  • 3
    Easy to configure with Terraform
  • 3
    Delayed delivery upto 15 mins only
  • 3
    Delayed delivery upto 12 hours
  • 1
    JMS compliant
  • 1
    Support for retry and dead letter queue
  • 1
    D
  • 2
    Easy to learn
  • 1
    Cloud not needed

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Cons of Amazon SQS
Cons of MSMQ
  • 2
    Has a max message size (currently 256K)
  • 2
    Proprietary
  • 2
    Difficult to configure
  • 1
    Has a maximum 15 minutes of delayed messages only
  • 1
    Windows dependency

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What is Amazon SQS?

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

What is MSMQ?

This technology enables applications running at different times to communicate across heterogeneous networks and systems that may be temporarily offline. Applications send messages to queues and read messages from queues.

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What companies use Amazon SQS?
What companies use MSMQ?
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What tools integrate with Amazon SQS?
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What are some alternatives to Amazon SQS and MSMQ?
Amazon MQ
Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
ActiveMQ
Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.
Amazon SNS
Amazon Simple Notification Service makes it simple and cost-effective to push to mobile devices such as iPhone, iPad, Android, Kindle Fire, and internet connected smart devices, as well as pushing to other distributed services. Besides pushing cloud notifications directly to mobile devices, SNS can also deliver notifications by SMS text message or email, to Simple Queue Service (SQS) queues, or to any HTTP endpoint.
See all alternatives