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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Compute Engine

    Score8.8 out of 10
    N/AGoogle Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.

    $0

    per month GB

    RabbitMQ

    Score9.5 out of 10
    N/ARabbitMQ, an open source message broker, is part of Pivotal Software, a VMware company acquired in 2019, and supports message queue, multiple messaging protocols, and more. RabbitMQ is available open source, however VMware also offers a range of commercial services for RabbitMQ; these are available as part of the Pivotal App Suite.N/A
    Pricing
    Google Compute EngineRabbitMQ
    Editions & Modules
    Preemptible Price - Predefined Memory
    0.000892 / GB
    Hour
    Three-year commitment price - Predefined Memory
    $0.001907 / GB
    Hour
    One-year commitment price - Predefined Memory
    $0.002669 / GB
    Hour
    On-demand price - Predefined Memory
    $0.004237 / GB
    Hour
    Preemptible Price - Predefined vCPUs
    0.006655 / vCPU
    Hour
    Three-year commitment price - Predefined vCPUS
    $0.014225 / CPU
    Hour
    One-year commitment price - Predefined vCPUS
    $0.019915 / vCPU
    Hour
    On-demand price - Predefined vCPUS
    $0.031611 / vCPU
    Hour
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Compute EngineRabbitMQ
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsPrices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.—
    More Pricing Information
    Community Pulse
    Google Compute EngineRabbitMQ
    Considered Both Products
    Google
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    45 Answers
    91%
    Would buy again
    10 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    44 Answers
    100%
    Delivers good value for the price
    11 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    44 Answers
    91%
    Happy with the feature set
    10 Answers
    Lived up to sales and marketing promises
    91%
    Lived up to sales and marketing promises
    31 Answers
    100%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    93%
    Implementation went as expected
    41 Answers
    100%
    Implementation went as expected
    11 Answers
    Features
    Google Compute EngineRabbitMQ
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Google Compute Engine and RabbitMQ
    Feature
    Google Compute Engine
    8.0
    65 Ratings
    3% below category average
    RabbitMQ
    -
    Ratings
    Service-level Agreement (SLA) uptime8.125 Ratings00 Ratings
    Dynamic scaling7.860 Ratings00 Ratings
    Elastic load balancing9.353 Ratings00 Ratings
    Pre-configured templates9.562 Ratings00 Ratings
    Monitoring tools3.026 Ratings00 Ratings
    Pre-defined machine images9.464 Ratings00 Ratings
    Operating system support8.365 Ratings00 Ratings
    Security controls9.163 Ratings00 Ratings
    Automation7.92 Ratings00 Ratings
    Best Alternatives
    Google Compute EngineRabbitMQ
    Small Businesses
    IBM Cloud Object Storage
    Score9 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Apache Kafka
    Score8.9 out of 10
    Enterprises
    SAP on IBM Cloud
    Score9 out of 10
    Apache Kafka
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Compute EngineRabbitMQ
    Likelihood to Recommend
    8.9
    (65 ratings)
    9.9
    (11 ratings)
    Likelihood to Renew
    6.9
    (3 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (9 ratings)
    8.0
    (1 ratings)
    Availability
    9.6
    (28 ratings)
    -
    (0 ratings)
    Performance
    9.0
    (28 ratings)
    -
    (0 ratings)
    Support Rating
    10.0
    (10 ratings)
    6.5
    (4 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Compute EngineRabbitMQ
    Likelihood to Recommend
    Google
    You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.
    Incentivized
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    Open Source
    It is highly recommended that if you have microservices architecture and if you want to solve 2 phase commit issue, you should use RabbitMQ for communication between microservices. It is a quick and reliable mode of communication between microservices. It is also helpful if you want to implement a job and worker mechanism. You can push the jobs into RabbitMQ and that will be sent to the consumer. It is highly reliable so you won't miss any jobs and you can also implement a retry of jobs with the dead letter queue feature. It will be also helpful in time-consuming API. You can put time-consuming items into a queue so they will be processed later and your API will be quick.
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    Pros
    Google
    • Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
    • Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
    • Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs
    Incentivized
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    Open Source
    • What RabbitMQ does well is what it's advertised to do. It is good at providing lots of high volume, high availability queue. We've seen it handle upwards of 10 million messages in its queues, spread out over 200 queues before its publish/consume rates dipped. So yeah, it can definitely handle a lot of messages and a lot of queues. Depending on the size of the machine RabbitMQ is running on, I'm sure it can handle more.
    • Decent number of plugins! Want a plugin that gives you an interface to view all the queues and see their publish/consume rates? Yes, there's one for that. Want a plugin to "shovel" messages from one queue to another in an emergency? Check. Want a plugin that does extra logging for all the messages received? Got you covered!
    • Lots of configuration possibilities. We've tuned over 100 settings over the past year to get the performance and reliability just right. This could be a downside though--it's pretty confusing and some settings were hard to understand.
    Incentivized
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    Cons
    Google
    • Built-in monitoring via Stackdriver is quite expensive for what it provides.
    • Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
    • Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.
    Incentivized
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    Open Source
    • It breaks communication if we don't acknowledge early. In some cases our work items are time consuming that will take a time and in that scenario we are getting errors that RabbitMQ broke the channel. It will be good if RabbitMQ provides two acknowledgements, one is for that it has been received at client side and second ack is client is completed the processing part.
    Incentivized
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    Likelihood to Renew
    Google
    Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.
    Incentivized
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    Open Source
    No answers on this topic
    Usability
    Google
    Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
    Incentivized
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    Open Source
    RabbitMQ is very easy to configure for all supported languages (Python, Java, etc.). I have personally used it on Raspberry Pi devices via a Flask Python API as well as in Java applications. I was able to learn it quickly and now have full mastery of it. I highly recommend it for any IoT project.
    Incentivized
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    Reliability and Availability
    Google
    Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes
    Incentivized
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    Open Source
    No answers on this topic
    Performance
    Google
    It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.
    Incentivized
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    Open Source
    No answers on this topic
    Support Rating
    Google
    • The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
    • Google support was great and their presence on site was very helpful in dealing with various issues.
    Incentivized
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    Open Source
    I gave it a 10 but we do not have a support contract with any company for RabbitMQ so there is no official support in that regard. However, there is a community and questions asked on StackOverflow or any other major question and answer site will usually get a response.
    Incentivized
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    Alternatives Considered
    Google
    Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.
    Incentivized
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    Open Source
    RabbitMQ has a few advantages over Azure Service Bus 1) RMQ handles substantially larger files - ASB tops out at 100MB, we use RabbitMQfor files over 200MB 2) RabbitMQ can be easily setup on prem - Azure Service Bus is cloud only 3) RabbitMQ exchanges are easier to configure over ASB subscriptions ASB has a few advantages too 1) Cloud based - just a few mouse clicks and you're up and running
    Incentivized
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    Scalability
    Google
    It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.
    Incentivized
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    Open Source
    No answers on this topic
    Return on Investment
    Google
    • With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
    • As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.
    Incentivized
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    Open Source
    • Positive: we don't need to keep way too many backend machines around to deal with bursts because RabbitMQ can absorb and buffer bursts long enough to let an understaffed set of backend services to catch up on processing. Hard to put a number to it but we probably save $5k a month having fewer machines around.
    • Negative: we've got many angry customers due to queues suddenly disappearing and dropping our messages when we try to publish to them afterward. Ideally, RabbitMQ should warn the user when queues expire due to inactivity but it doesn't, and due to our own bugs we've lost a lot of customer data as a result.
    • Positive: makes decoupling the web and API services from the deeper backend services easier by providing queues as an interface. This allowed us to split up our teams and have them develop independently of each other, speeding up software development.
    Incentivized
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    ScreenShots

    Google Compute Engine Screenshots

    Screenshot of How to choose the right VM
With thousands of applications, each with different requirements, which VM is right for you?Screenshot of documentation, guides, and reference architectures
Migration Center is Google Cloud's unified migration platform with features like cloud spend estimation, asset discovery, and a variety of tooling for different migration scenarios.