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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

    IBM MQ

    Score9 out of 10
    N/AIBM MQ (formerly WebSphere MQ and MQSeries) is messaging middleware.N/A
    Pricing
    Google Compute EngineIBM MQ
    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 EngineIBM MQ
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    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
    Features
    Google Compute EngineIBM MQ
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Google Compute Engine and IBM MQ
    Feature
    Google Compute Engine
    8.0
    65 Ratings
    3% below category average
    IBM MQ
    -
    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 EngineIBM MQ
    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 EngineIBM MQ
    Likelihood to Recommend
    8.9
    (65 ratings)
    10.0
    (48 ratings)
    Likelihood to Renew
    6.9
    (3 ratings)
    9.1
    (1 ratings)
    Usability
    8.0
    (9 ratings)
    9.1
    (7 ratings)
    Availability
    9.6
    (28 ratings)
    9.5
    (29 ratings)
    Performance
    9.0
    (28 ratings)
    -
    (0 ratings)
    Support Rating
    10.0
    (10 ratings)
    9.1
    (27 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Compute EngineIBM MQ
    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.
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    IBM
    In the context of Internet of Things (IoT) applications, IBM MQ plays a pivotal role in managing the substantial data streams emanating from interconnected devices. Its primary function is to guarantee the dependable transmission and processing of data, catering to a diverse range of IoT use cases, including but not limited to smart city initiatives, healthcare monitoring systems, and industrial automation solutions. In the telecommunications sector, IBM MQ is employed for message routing, call detail record (CDR) processing, and network management to ensure real-time data exchange and fault tolerance. When managing the supply chain and logistics, IBM MQ is used to ensure timely and accurate communication between different entities, including suppliers, warehouses, and transportation providers. IBM MQ can be cost-prohibitive for smaller organizations due to licensing and maintenance costs. In such cases, open-source or lightweight messaging solutions may be more appropriate. For scenarios requiring extremely low-latency, real-time data exchange, and high throughput, other messaging technologies, like Apache Kafka, may be more suitable due to their specialized design for such use cases.
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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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    IBM
    • The documentation is very clear,It is understandable and the support helps to configure it in the best way.
    • Server guidelines make it possible to get the most out of work management. It's broad, we can work with different operating systems, I really recommend using linux.
    • It is highly compatible with systems, brockers, applications, and data accumulation programs, it is possible to configure everything so that after the installation of programs, they can communicate with each other and then throw data to an external program that accumulates it and represents in clear details of steps to follow and make business decisions.
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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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    IBM
    • There is limitation on number of svrconn connections you can have to MQ on the mainframe which has been an major issue for us. This has been an issue for us for over 4 years and still no fix although I am aware IBM have been working on a solution over the last year.
    • When upgrading to MQ V9.3 on our MQ appliances there is no fall-back option. This was the same for MQ V9.2 upgrade from MQ V9.0. For production upgrades this I believe is not acceptable.
    • AMS is not supplied as part of the standard mainframe MQ licence. You need an extra licence. IBM tell customers how important security and protecting data is yet they still want to charge for this software. The cost of MQ on the mainframe is not cheap so I would expect AMS to be part of the base product.
    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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    IBM
    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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    IBM
    I give it a nine because it has significantly improved my team's data reliability and operational efficiency. Its great security features give us peace of mind, knowing our sensitive data is well protected. While the setup might initially be complex, I believe the long-term benefits far outweigh this hurdle.
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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
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    IBM
    The messages are delivered instantly with this software and it integrates with our technology stack, in terms of availability we only had one failure when we were doing some testing and integration with third parties, the features of this software make it always available and its deployment is easy for the company, it does not generate expenses due to failures
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    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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    IBM
    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.
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    IBM
    There are very specific things that must be elevated to more specialized areas of support, but the common support is very agile when receiving questions or when we leave concerns in real time. I recommend the support of the program in this regard.
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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.
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    IBM
    We found IBM MQ very easy to get started and quick to learn by the new users with a short learning curve and seamlessly integrates with IBM products, and quick to perform self-service analytics and make informed business decisions. IBM MQ is also very straightforward in creating simple and best reports, which are very profitable and productive.
    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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    IBM
    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.
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    IBM
    • Positive- Message Reliability and Reduced downtime, increases the ROI many times.
    • Positive- Increased stability and enhanced customer experience
    • Negative- cost is very high - Both licensing and integration cost
    • Negative- Learning and training cost of IBM MQ is high as its complex to use and integrate
    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.