ActiveMQ vs Amazon S3

Overview

Amazon S3

Stacks55.1K

Followers40.2K

Votes2.0K

ActiveMQ

Stacks880

Followers1.3K

Votes77

GitHub Stars2.4K

Forks1.5K

ActiveMQ vs Amazon S3: What are the differences?

Message Queuing vs. Object Storage: ActiveMQ is a message-oriented middleware that supports message queuing protocols such as JMS, MQTT, and AMQP, facilitating communication between different applications. On the other hand, Amazon S3 is an object storage service that allows users to store and retrieve a virtually unlimited amount of data in the form of objects, making it suitable for data archival, backup, and big data analytics.
Messaging Patterns vs. Data Storage: ActiveMQ is designed for supporting various messaging patterns like point-to-point, publish-subscribe, request-reply, and durable subscriptions to meet different communication requirements. In contrast, Amazon S3 focuses on providing scalable, durable, and secure data storage capabilities, making it more suitable for static content hosting, data backup, and sharing.
Pricing Structure: ActiveMQ generally follows a pay-as-you-go model, where users pay for the resources and features they use. In comparison, Amazon S3 offers tiered pricing based on storage volume, data transfer, and request rates, making it crucial for users to understand their usage patterns to optimize costs effectively.
Service Integration: ActiveMQ can be integrated with various frameworks, programming languages, and protocols to support cross-platform communication, while Amazon S3 seamlessly integrates with other AWS services like EC2, Lambda, and Redshift, providing a comprehensive cloud solution for data management and analysis.
Data Consistency and Durability: ActiveMQ ensures message delivery and processing with support for persistence, acknowledgment, and clustering mechanisms, promoting data consistency in distributed systems. In contrast, Amazon S3 offers high durability with data replication across multiple availability zones and object versioning to ensure data integrity and availability.
Scalability and Performance: ActiveMQ can be horizontally scaled to support high message throughput and low latency communication, making it suitable for real-time applications and microservices architectures. Meanwhile, Amazon S3 provides highly scalable storage capacity and low latency access to accommodate growing data volumes and diverse access patterns efficiently.

In Summary, ActiveMQ and Amazon S3 differ in their focus on message queuing vs. object storage, messaging patterns vs. data storage, pricing structures, service integration, data consistency, and durability, as well as scalability and performance capabilities.

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Advice on Amazon S3, ActiveMQ

Mohammad

Aug 30, 2020

Needs adviceon

Backblaze B2 Cloud Storage

PHP

Laravel

Hello! I have a mobile app with nearly 100k MAU, and I want to add a cloud file storage service to my app.

My app will allow users to store their image, video, and audio files and retrieve them to their device when necessary.

I have already decided to use PHP & Laravel as my backend, and I use Contabo VPS. Now, I need an object storage service for my app, and my options are:

Amazon S3 : It sounds to me like the best option but the most expensive. Closest to my users (MENA Region) for other services, I will have to go to Europe. Not sure how important this is?
DigitalOcean Spaces : Seems like my best option for price/service, but I am still not sure
Wasabi: the best price (6 USD/MONTH/TB) and free bandwidth, but I am not sure if it fits my needs as I want to allow my users to preview audio and video files. They don't recommend their service for streaming videos.
Backblaze B2 Cloud Storage: Good price but not sure about them.
There is also the self-hosted s3 compatible option, but I am not sure about that.

Any thoughts will be helpful. Also, if you think I should post in a different sub, please tell me.

180k views180k

Comments

Dalton

Oct 23, 2020

Decided

Minio is a free and open source object storage system. It can be self-hosted and is S3 compatible. During the early stage it would save cost and allow us to move to a different object storage when we scale up. It is also fast and easy to set up. This is very useful during development since it can be run on localhost.

143k views143k

Comments

Gabriel

CEO at NaoLogic Inc

Dec 24, 2019

Decided

We offer our customer HIPAA compliant storage. After analyzing the market, we decided to go with Google Storage. The Nodejs API is ok, still not ES6 and can be very confusing to use. For each new customer, we created a different bucket so they can have individual data and not have to worry about data loss. After 1000+ customers we started seeing many problems with the creation of new buckets, with saving or retrieving a new file. Many false positive: the Promise returned ok, but in reality, it failed.

That's why we switched to S3 that just works.

330k views330k

Comments

Detailed Comparison

Amazon S3	ActiveMQ
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	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.
Write, read, and delete objects containing from 1 byte to 5 terabytes of data each. The number of objects you can store is unlimited.;Each object is stored in a bucket and retrieved via a unique, developer-assigned key.;A bucket can be stored in one of several Regions. You can choose a Region to optimize for latency, minimize costs, or address regulatory requirements. Amazon S3 is currently available in the US Standard, US West (Oregon), US West (Northern California), EU (Ireland), Asia Pacific (Singapore), Asia Pacific (Tokyo), Asia Pacific (Sydney), South America (Sao Paulo), and GovCloud (US) Regions. The US Standard Region automatically routes requests to facilities in Northern Virginia or the Pacific Northwest using network maps.;Objects stored in a Region never leave the Region unless you transfer them out. For example, objects stored in the EU (Ireland) Region never leave the EU.;Authentication mechanisms are provided to ensure that data is kept secure from unauthorized access. Objects can be made private or public, and rights can be granted to specific users.;Options for secure data upload/download and encryption of data at rest are provided for additional data protection.;Uses standards-based REST and SOAP interfaces designed to work with any Internet-development toolkit.;Built to be flexible so that protocol or functional layers can easily be added. The default download protocol is HTTP. A BitTorrent protocol interface is provided to lower costs for high-scale distribution.;Provides functionality to simplify manageability of data through its lifetime. Includes options for segregating data by buckets, monitoring and controlling spend, and automatically archiving data to even lower cost storage options. These options can be easily administered from the Amazon S3 Management Console.;Reliability backed with the Amazon S3 Service Level Agreement.	Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
Statistics
GitHub Stars -	GitHub Stars 2.4K
GitHub Forks -	GitHub Forks 1.5K
Stacks 55.1K	Stacks 880
Followers 40.2K	Followers 1.3K
Votes 2.0K	Votes 77
Pros & Cons
Pros 590 Reliable 492 Scalable 456 Cheap 329 Simple & easy 83 Many sdks Cons 7 Permissions take some time to get right 6 Requires a credit card 6 Takes time/work to organize buckets & folders properly 3 Complex to set up	Pros 18 Easy to use 14 Open source 13 Efficient 10 JMS compliant 6 High Availability Cons 1 Difficult to scale 1 ONLY Vertically Scalable 1 Low resilience to exceptions and interruptions 1 Support

What are some alternatives to Amazon S3, ActiveMQ?

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

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.

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.

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 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.

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

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

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.

Azure Storage

Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

Related Comparisons

ActiveMQ vs Amazon S3: What are the differences?

Message Queuing vs. Object Storage: ActiveMQ is a message-oriented middleware that supports message queuing protocols such as JMS, MQTT, and AMQP, facilitating communication between different applications. On the other hand, Amazon S3 is an object storage service that allows users to store and retrieve a virtually unlimited amount of data in the form of objects, making it suitable for data archival, backup, and big data analytics.
Messaging Patterns vs. Data Storage: ActiveMQ is designed for supporting various messaging patterns like point-to-point, publish-subscribe, request-reply, and durable subscriptions to meet different communication requirements. In contrast, Amazon S3 focuses on providing scalable, durable, and secure data storage capabilities, making it more suitable for static content hosting, data backup, and sharing.
Pricing Structure: ActiveMQ generally follows a pay-as-you-go model, where users pay for the resources and features they use. In comparison, Amazon S3 offers tiered pricing based on storage volume, data transfer, and request rates, making it crucial for users to understand their usage patterns to optimize costs effectively.
Service Integration: ActiveMQ can be integrated with various frameworks, programming languages, and protocols to support cross-platform communication, while Amazon S3 seamlessly integrates with other AWS services like EC2, Lambda, and Redshift, providing a comprehensive cloud solution for data management and analysis.
Data Consistency and Durability: ActiveMQ ensures message delivery and processing with support for persistence, acknowledgment, and clustering mechanisms, promoting data consistency in distributed systems. In contrast, Amazon S3 offers high durability with data replication across multiple availability zones and object versioning to ensure data integrity and availability.
Scalability and Performance: ActiveMQ can be horizontally scaled to support high message throughput and low latency communication, making it suitable for real-time applications and microservices architectures. Meanwhile, Amazon S3 provides highly scalable storage capacity and low latency access to accommodate growing data volumes and diverse access patterns efficiently.

ActiveMQ vs Amazon S3

Overview