Software Alternatives, Accelerators & Startups

Google Cloud Run VS RabbitMQ

Compare Google Cloud Run VS RabbitMQ and see what are their differences

Google Cloud Run logo Google Cloud Run

Bringing serverless to containers

RabbitMQ logo RabbitMQ

RabbitMQ is an open source message broker software.
  • Google Cloud Run Landing page
    Landing page //
    2023-10-16
  • RabbitMQ Landing page
    Landing page //
    2023-10-03

Google Cloud Run videos

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RabbitMQ videos

數據工程 | 快速review | 如何架設Docker Swarm + RabbitMQ??

More videos:

  • Review - What's New in RabbitMQ—June 2012 Edition
  • Review - Feature complete: Uncovering the true cost different RabbitMQ features and configs - Jack Vanlightly

Category Popularity

0-100% (relative to Google Cloud Run and RabbitMQ)
Cloud Computing
100 100%
0% 0
Data Integration
0 0%
100% 100
Developer Tools
100 100%
0% 0
Web Service Automation
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Run and RabbitMQ

Google Cloud Run Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
So if anyone is looking for a flexible and cost-efficient platform for running containers on Google Cloud, then Google Cloud Run is great.
Source: humalect.com

RabbitMQ Reviews

Best message queue for cloud-native apps
RabbitMQ is an open-source message broker software that allows applications to communicate with each other using a messaging protocol. It was developed by Rabbit Technologies and first released in 2007, which was later acquired by VMware.RabbitMQ is based on the Advanced Message Queuing Protocol (AMQP) and provides a reliable, scalable, and interoperable messaging system.
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
However, it's important to note that every tool has its strengths and use cases. For instance, Kafka's strength lies in real-time data streaming, NATS shines with its simplicity, and RabbitMQ provides support for complex routing. In contrast, IronMQ provides an excellent balance of simplicity, durability, scalability, and ease of management, making it a powerful choice for...
Source: blog.iron.io
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
RabbitMQ follows a standard store-and-forward pattern, allowing messages to be stored in RAM, on disk, or both. To ensure the persistence of messages, the producer can tag them as persistent, and they will be stored in a separate queue. This helps achieve message retention even after a restart or failure of the RabbitMQ server.
Source: gcore.com
6 Best Kafka Alternatives: 2022’s Must-know List
Due to RabbitMQ’s lightweight design, it can be easily deployed on public and private clouds. RabbitMQ is backed not only by a robust support system but also offers a great developer community. Since it is open-source software it is one of the best Kafka Alternatives and RabbitMQ is free of cost.
Source: hevodata.com
Top 15 Alternatives to RabbitMQ In 2021
In this article, we will discuss an overview on RabbitMQ Alternatives. RabbitMQ has a flexible messaging system and functions as a multipurpose broker. But it often stops working, because of its high latency and very slow while doing so. The deployment & management of RabbitMQ is a too dull procedure. It can not be installed as modules, it can be installed only on machines...
Source: gokicker.com

Social recommendations and mentions

Based on our record, Google Cloud Run seems to be a lot more popular than RabbitMQ. While we know about 83 links to Google Cloud Run, we've tracked only 1 mention of RabbitMQ. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Run mentions (83)

  • A Brief History Of Serverless
    In 2019, Google announced Cloud Run. This was, in essence, a managed Knative. Now, Cloud Run doesn't run on Kubernetes, but it is Knative Serving API compliant. This means that you could take a standard Knative YAML manifest and use it to deploy your containers to Cloud Run with no issue. - Source: dev.to / 2 days ago
  • The 2024 Web Hosting Report
    Examples for products in this category are: Google Cloud Run, AWS App Runner, Azure Container Apps. Each has different scalability, cost, and integration trade-offs. - Source: dev.to / 3 months ago
  • How to deploy a Django app to Google Cloud Run using Terraform
    Cloud Run is a managed platform that enables you to run container based workloads on top of Google infrastructure. Cloud Run automates many of the above steps and allows you to focus on developing and deploying updates to your application. - Source: dev.to / 5 months ago
  • Golden Ticket To Explore Google Cloud
    Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 10 months ago
  • Ultimate Guide to User Authorization with Identity Platform
    The quickest way is to deploy to Cloud Run. The service will use Dockerfile to build the production image. You can even omit the GOOGLE_APPLICATION_CREDENTIALS env var as these are in GCP’s projects by default. - Source: dev.to / 10 months ago
View more

RabbitMQ mentions (1)

What are some alternatives?

When comparing Google Cloud Run and RabbitMQ, you can also consider the following products

AWS Lambda - Automatic, event-driven compute service

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Spot.io - Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.

Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.

Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.

IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.