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

Amazon SQS vs Minio

OverviewDecisionsComparisonAlternatives

Overview

Amazon SQS
Amazon SQS
Stacks2.8K
Followers2.0K
Votes171
Minio
Minio
Stacks638
Followers670
Votes43
GitHub Stars57.8K
Forks6.4K

Amazon SQS vs Minio: What are the differences?

Introduction: In this article, we will compare the key differences between Amazon Simple Queue Service (SQS) and Minio, two popular cloud storage and messaging solutions.

  1. API Compatibility: The major difference between Amazon SQS and Minio is the API compatibility. Amazon SQS is built on proprietary AWS services and provides an API specific to the AWS ecosystem. On the other hand, Minio follows the S3 API standard and provides compatibility with various other S3-compatible cloud storage providers. This means that applications designed to work with Amazon SQS may require modifications to work with Minio and vice versa.

  2. Scalability and Management: Amazon SQS is a fully managed service provided by AWS, offering high scalability and reliability out of the box. It automatically handles all aspects of message delivery and queue management, allowing developers to focus on their application logic. In contrast, Minio is an open-source, self-hosted solution, providing the flexibility of managing the infrastructure yourself. It allows you to scale horizontally by distributing Minio instances across multiple servers as per your requirements.

  3. Pricing Model: Another significant difference is the pricing model. Amazon SQS is a pay-per-use service, where you pay for the number of requests and data transfer. The cost depends on factors such as the number of messages, messages size, and API requests. On the other hand, Minio has no associated costs for the software itself, as it is open-source. However, you are responsible for hosting and managing the infrastructure, which may incur costs from cloud providers or server maintenance.

  4. Storage Features: Amazon SQS primarily focuses on message queuing and does not provide built-in storage capabilities. It is designed to offer reliable and scalable messaging between distributed systems. In contrast, Minio is primarily a cloud object storage service that provides a fully compatible S3 API. It offers advanced storage features such as versioning, server-side encryption, event notifications, and access control policies, making it suitable for various data storage use cases.

  5. Integration with Ecosystem: Amazon SQS seamlessly integrates with other AWS services like AWS Lambda, to build serverless architectures and trigger functions based on incoming messages. It also integrates well with Amazon S3 for storing larger payloads. While Minio provides compatibility with the S3 API, it may require additional configurations or custom integrations to work collaboratively with other AWS services.

  6. Security and Compliance: Amazon SQS provides various security features and compliance certifications due to being an AWS service. It offers encryption at rest and in transit, access control through AWS Identity and Access Management (IAM), and compliance with various industry standards and regulations. Minio, being a self-hosted solution, offers similar security features, but the responsibility of implementing and maintaining security measures lies with the user.

In Summary, Amazon SQS and Minio differ in terms of API compatibility, scalability, management, pricing model, storage features, integration with the ecosystem, and security. The choice between these two solutions should depend on factors like the desired level of control, cost considerations, specific use case requirements, and compatibility with existing infrastructure or services.

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Advice on Amazon SQS, Minio

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
Minio
Minio

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.

Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License

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.
-
Statistics
GitHub Stars
-
GitHub Stars
57.8K
GitHub Forks
-
GitHub Forks
6.4K
Stacks
2.8K
Stacks
638
Followers
2.0K
Followers
670
Votes
171
Votes
43
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
Pros
  • 10
    Store and Serve Resumes & Job Description PDF, Backups
  • 8
    S3 Compatible
  • 4
    Simple
  • 4
    Open Source
  • 3
    Lambda Compute
Cons
  • 3
    Deletion of huge buckets is not possible
Integrations
No integrations available
Amazon S3
Amazon S3

What are some alternatives to Amazon SQS, Minio?

Amazon S3

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

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.

Amazon EBS

Amazon EBS

Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.

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.

Google Cloud Storage

Google Cloud Storage

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.

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.

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