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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cloud Storage
  5. Google Cloud Storage vs ZeroMQ

Google Cloud Storage vs ZeroMQ

OverviewDecisionsComparisonAlternatives

Overview

Google Cloud Storage
Google Cloud Storage
Stacks2.0K
Followers1.2K
Votes75
ZeroMQ
ZeroMQ
Stacks258
Followers586
Votes71
GitHub Stars10.6K
Forks2.5K

Google Cloud Storage vs ZeroMQ: What are the differences?

Introduction

In this comparison, we will analyze key differences between Google Cloud Storage and ZeroMQ.

  1. Data Storage vs. Messaging: Google Cloud Storage is primarily used for storing and retrieving data in a scalable, secure, and durable manner, making it ideal for managing large datasets and backups. On the other hand, ZeroMQ is a messaging library that facilitates message-based communication between distributed systems, enabling efficient and fast data exchange between components.

  2. Use Case: Google Cloud Storage is commonly used in cloud computing scenarios where data storage and retrieval are crucial, such as backups, data archiving, and serving static website content. ZeroMQ, on the other hand, is utilized in building distributed applications that require high-performance, asynchronous messaging capabilities for inter-process communication and coordination.

  3. Protocol Support: Google Cloud Storage provides a RESTful API for user interaction, making it easier to integrate with a wide range of programming languages and environments. In contrast, ZeroMQ offers support for various messaging patterns, such as publish-subscribe, request-reply, and push-pull, enabling developers to design flexible communication architectures based on their specific requirements.

  4. Scalability and Performance: Google Cloud Storage is designed to handle massive volumes of data and can automatically scale storage capacity to accommodate growing needs. ZeroMQ, on the other hand, focuses on achieving low-latency and high-throughput message processing, making it suitable for applications that demand real-time data exchange and processing efficiency.

Summary

In summary, Google Cloud Storage excels in data storage and retrieval capabilities, while ZeroMQ shines in facilitating efficient and high-performance messaging for distributed applications.

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Advice on Google Cloud Storage, ZeroMQ

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
Gabriel
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
Ben
Ben

May 18, 2020

Decided

We choose Backblaze B2 because it makes more sense for storing static assets.

We admire Backblaze's customer service & transparency, plus, we trust them to maintain fair business practices - including not raising prices in the future.

Lower storage costs means we can keep more data for longer, and lower bandwidth means cache misses don't cost a ton.

120k views120k
Comments

Detailed Comparison

Google Cloud Storage
Google Cloud Storage
ZeroMQ
ZeroMQ

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.

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.

High Capacity and Scalability;Strong Data Consistency;Google Developers Console Projects;Bucket Locations;REST APIS;OAuth 2.0 Authentication;Authenticated Browser Downloads;Google Account Support for Sharing
Connect your code in any language, on any platform.;Carries messages across inproc, IPC, TCP, TPIC, multicast.;Smart patterns like pub-sub, push-pull, and router-dealer.;High-speed asynchronous I/O engines, in a tiny library.;Backed by a large and active open source community.;Supports every modern language and platform.;Build any architecture: centralized, distributed, small, or large.;Free software with full commercial support.
Statistics
GitHub Stars
-
GitHub Stars
10.6K
GitHub Forks
-
GitHub Forks
2.5K
Stacks
2.0K
Stacks
258
Followers
1.2K
Followers
586
Votes
75
Votes
71
Pros & Cons
Pros
  • 28
    Scalable
  • 19
    Cheap
  • 14
    Reliable
  • 9
    Easy
  • 3
    Chealp
Pros
  • 23
    Fast
  • 20
    Lightweight
  • 11
    Transport agnostic
  • 7
    No broker required
  • 4
    Low level APIs are in C
Cons
  • 5
    No message durability
  • 3
    Not a very reliable system - message delivery wise
  • 1
    M x N problem with M producers and N consumers

What are some alternatives to Google Cloud Storage, ZeroMQ?

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.

Amazon SQS

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

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.

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.

Azure Storage

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.

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