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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. Amazon SQS vs Dramatiq

Amazon SQS vs Dramatiq

OverviewDecisionsComparisonAlternatives

Overview

Amazon SQS
Amazon SQS
Stacks2.8K
Followers2.0K
Votes171
Dramatiq
Dramatiq
Stacks6
Followers35
Votes0

Amazon SQS vs Dramatiq: What are the differences?

Introduction

Amazon Simple Queue Service (SQS) and Dramatiq are both message queuing services that are commonly used in distributed systems. While they share some similarities, there are several key differences that set them apart.

  1. Message Transport Protocol: Amazon SQS is based on the HTTP protocol, making it suitable for use in web-based applications. On the other hand, Dramatiq uses message brokers like RabbitMQ or Redis, allowing it to support various transport protocols, including AMQP and Redis Pub/Sub.

  2. Message Acknowledgement: In Amazon SQS, messages are automatically deleted from the queue once they are retrieved by consumers. In contrast, Dramatiq requires consumers to explicitly acknowledge the processing of messages, ensuring more control over message reliability and durability.

  3. Message Ordering: Amazon SQS guarantees that messages will be delivered in the same order they were sent, providing strict message ordering. In contrast, Dramatiq does not guarantee message ordering, allowing for better parallel processing and scalability.

  4. Message Delay: Amazon SQS supports a built-in message delay feature, which allows messages to be held in the queue for a specified period before being delivered to consumers. Dramatiq does not have a built-in delay feature, so any delay functionality needs to be implemented separately.

  5. Visibility Timeout: Amazon SQS provides a visibility timeout setting that allows a message to become invisible to other consumers for a specific period after it has been retrieved. This ensures that only one consumer processes the message at a time. In Dramatiq, this visibility timeout feature is not available by default, but can be implemented by using additional mechanisms like Redis locks.

  6. Scaling and Pricing: Amazon SQS is a fully managed service, which means it automatically scales based on the load and there are no upfront costs. The pricing is based on the number of requests and data transfer. In contrast, Dramatiq requires manual scaling and infrastructure setup, making it more suitable for scenarios where fine-grained control and cost savings are required.

In summary, Amazon SQS is a scalable and fully managed message queuing service that is well-suited for web-based applications, while Dramatiq provides more control and flexibility with message processing and can be tailored to specific infrastructure requirements.

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Advice on Amazon SQS, Dramatiq

Pulkit
Pulkit

Software Engineer

Oct 30, 2020

Needs adviceonDjangoDjangoAmazon SQSAmazon SQSRabbitMQRabbitMQ

Hi! I am creating a scraping system in Django, which involves long running tasks between 1 minute & 1 Day. As I am new to Message Brokers and Task Queues, I need advice on which architecture to use for my system. ( Amazon SQS, RabbitMQ, or Celery). The system should be autoscalable using Kubernetes(K8) based on the number of pending tasks in the queue.

474k views474k
Comments
Meili
Meili

Software engineer at Digital Science

Sep 24, 2020

Needs adviceonZeroMQZeroMQRabbitMQRabbitMQAmazon SQSAmazon SQS

Hi, we are in a ZMQ set up in a push/pull pattern, and we currently start to have more traffic and cases that the service is unavailable or stuck. We want to:

  • Not loose messages in services outages
  • Safely restart service without losing messages (@{ZeroMQ}|tool:1064| seems to need to close the socket in the receiver before restart manually)

Do you have experience with this setup with ZeroMQ? Would you suggest RabbitMQ or Amazon SQS (we are in AWS setup) instead? Something else?

Thank you for your time

500k views500k
Comments
MITHIRIDI
MITHIRIDI

Software Engineer at LightMetrics

May 8, 2020

Needs adviceonAmazon SQSAmazon SQSAmazon MQAmazon MQ

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.

303k views303k
Comments

Detailed Comparison

Amazon SQS
Amazon SQS
Dramatiq
Dramatiq

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.

A distributed task queueing library that is simple and has sane defaults for most SaaS workloads. It draws inspiration from GAE Push Queues and Sidekiq.

A queue can be created in any region.;The message payload can contain up to 256KB of text in any format. Each 64KB ‘chunk’ of payload is billed as 1 request. For example, a single API call with a 256KB payload will be billed as four requests.;Messages can be sent, received or deleted in batches of up to 10 messages or 256KB. Batches cost the same amount as single messages, meaning SQS can be even more cost effective for customers that use batching.;Long polling reduces extraneous polling to help you minimize cost while receiving new messages as quickly as possible. When your queue is empty, long-poll requests wait up to 20 seconds for the next message to arrive. Long poll requests cost the same amount as regular requests.;Messages can be retained in queues for up to 14 days.;Messages can be sent and read simultaneously.;Developers can get started with Amazon SQS by using only five APIs: CreateQueue, SendMessage, ReceiveMessage, ChangeMessageVisibility, and DeleteMessage. Additional APIs are available to provide advanced functionality.
high reliability; simple and easy to understand core; convention over configuration
Statistics
Stacks
2.8K
Stacks
6
Followers
2.0K
Followers
35
Votes
171
Votes
0
Pros & Cons
Pros
  • 62
    Easy to use, reliable
  • 40
    Low cost
  • 28
    Simple
  • 14
    Doesn't need to maintain it
  • 8
    It is Serverless
Cons
  • 2
    Has a max message size (currently 256K)
  • 2
    Difficult to configure
  • 2
    Proprietary
  • 1
    Has a maximum 15 minutes of delayed messages only
No community feedback yet

What are some alternatives to Amazon SQS, Dramatiq?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

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.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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