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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 Turbonomic

    Score8.5 out of 10
    Enterprise companies (1,001+ employees)
    IBM Turbonomic, now part of the Concert platform, is a performance and cost optimization platform for public, private, and hybrid clouds used by cloud, infrastructure operations, and architecture to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions. One of the key features of IBM Turbonomic is its ability to continuously adjust…N/A
    Pricing
    Google Compute EngineIBM Turbonomic
    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
    IBM® Turbonomic On-Prem
    Varies - Request a Quote
    per month IBM Turbonomic On-prem optimizes data center resources in real time, ensuring app performance at the lowest cost by aligning infrastructure supply with dynamic application demand.
    IBM® Turbonomic Cloud Standard
    Varies - Request a Quote
    per month For customers with more than USD 1.6 million in annual cloud spend or 50 Managed Virtual Servers (MVS) or greater
    IBM® Turbonomic Hybrid Standard
    Varies - Request a Quote
    per month Advanced hybrid cloud optimization capabilities for customers with 200 managed virtual servers (MVS) or more
    Offerings
    Pricing Offerings
    Google Compute EngineIBM Turbonomic
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    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.Volume discounting available.
    More Pricing Information
    Community Pulse
    Google Compute EngineIBM Turbonomic
    Considered Both Products
    Google
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    45 Answers
    95%
    Would buy again
    53 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    44 Answers
    96%
    Delivers good value for the price
    53 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    44 Answers
    96%
    Happy with the feature set
    54 Answers
    Lived up to sales and marketing promises
    91%
    Lived up to sales and marketing promises
    31 Answers
    98%
    Lived up to sales and marketing promises
    42 Answers
    Implementation went as expected
    93%
    Implementation went as expected
    41 Answers
    89%
    Implementation went as expected
    42 Answers
    Features
    Google Compute EngineIBM Turbonomic
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Google Compute Engine and IBM Turbonomic
    Feature
    Google Compute Engine
    8.0
    65 Ratings
    3% below category average
    IBM Turbonomic
    -
    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
    Cloud Management
    Comparison of Cloud Management features of Google Compute Engine and IBM Turbonomic
    Feature
    Google Compute Engine
    -
    Ratings
    IBM Turbonomic
    8.0
    24 Ratings
    9% below category average
    Cloud Management Security00 Ratings7.818 Ratings
    Automation and Orchestration00 Ratings8.725 Ratings
    Cost Management00 Ratings7.926 Ratings
    Cloud Management Performance Monitoring00 Ratings8.426 Ratings
    Governance and Compliance00 Ratings7.624 Ratings
    Resource Management00 Ratings9.325 Ratings
    Systems Integration00 Ratings6.725 Ratings
    Best Alternatives
    Google Compute EngineIBM Turbonomic
    Small Businesses
    IBM Cloud Object Storage
    Score9 out of 10
    Rackspace Fabric
    Score6.3 out of 10
    Medium-sized Companies
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Cisco Intersight
    Score8.9 out of 10
    Enterprises
    SAP on IBM Cloud
    Score9 out of 10
    Cisco Intersight
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Compute EngineIBM Turbonomic
    Likelihood to Recommend
    8.9
    (65 ratings)
    8.6
    (156 ratings)
    Likelihood to Renew
    6.9
    (3 ratings)
    9.0
    (24 ratings)
    Usability
    8.0
    (9 ratings)
    7.7
    (21 ratings)
    Availability
    9.6
    (28 ratings)
    10.0
    (3 ratings)
    Performance
    9.0
    (28 ratings)
    8.0
    (6 ratings)
    Support Rating
    10.0
    (10 ratings)
    8.0
    (25 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (3 ratings)
    Online Training
    -
    (0 ratings)
    10.0
    (3 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.7
    (18 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (3 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    9.1
    (2 ratings)
    Ease of integration
    -
    (0 ratings)
    7.3
    (5 ratings)
    Product Scalability
    7.3
    (1 ratings)
    7.3
    (4 ratings)
    Professional Services
    -
    (0 ratings)
    10.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    10.0
    (3 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    10.0
    (3 ratings)
    User Testimonials
    Google Compute EngineIBM Turbonomic
    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
    Datacenter Consolidation and Hardware Optimization: This scenario is relevant to you as a hardware manager. It applies when you have physical servers (like Power or System z) and want to maximize virtual machine density. Why it works: IBM Turbonomic analyzes the peak usage times of each VM. If VM "A" is active during the day and VM "B" at night, it places them on the same physical host. Ideal scenario: Data migration projects or when you're told, "[...], there's no budget for more servers this year, make everything fit on what we have." Consolidación de Datacenters y Optimización de Hardware,Este escenario te toca de cerca como encargado de Hardware. Cuando tienes servidores físicos (como los Power o System z) y quieres maximizar la densidad de máquinas virtuales.Por qué funciona: IBM Turbonomic analiza las horas pico de cada VM. Si la VM "A" es activa de día y la VM "B" de noche, las coloca en el mismo host físico.Escenario ideal: Proyectos de migración de datos o cuando te dicen: "[...], no hay presupuesto para más servidores este año, haz que quepa todo en lo que tenemos". This review was originally written in Spanish and has been translated into English using a third-party translation tool. While we strive for accuracy, some nuances or meanings may not be perfectly captured.
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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
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    IBM
    • Presentation is nice. Its easy to understand what your looking at and the data that is being presented to you.
    • Properly identify resource utilization and recommendations for action on how VMs can be improved and resources can be better utilized.
    • It was also able to tell us the same information and analysis for cloud resources. I was not expecting that.
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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.
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    IBM
    • It would be nice if the UI included a break-down of features that are both licensed as well as un-licensed. That way, you could not only see what you have, but what you don't.
    • The right-sizing recommendations are great, but very little info is given about why the recommendation is being made. More info would not only increase understanding, but would also help drive decision-making.
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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
    We are certainly happy with Turbonomic as a whole and have invested quite a bit of time and effort into learning the ins and outs of the product. We have our reporting setup the way we want it and have gained definite value from these features. I will say though that many products nowadays are offering more native monitoring, reporting, and alerting features which may eventually steer us away from this product
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    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.
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    IBM
    Excellent approach to larger VM organizational management. They have an very clean integrated dashboard that allows us to see everything in our environment and what that is doing in real-time. It works on multiple hyper-visors really well and integrates capacity planning on my local site as well as my cloud locations.
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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
    VMTurbo has not caused any outages by not doing what we expect it to do.
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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.
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    IBM
    It allocates resources among applications by showing more on the cost breakdown by cloud service, with metrics on cloud provider information like Azure Management, Identity, Networking, Storage with costs per day, and total services costs. This then could facilitate and show the corresponding actions thereafter upon scaling.
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    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
    When I contact support I get a quick response and they are able to solve my problem quickly. I also get a sense that they want to make sure that we are getting value from the product and walk me through whatever steps are needed to accomplish my goals.
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    In-Person Training
    Google
    No answers on this topic
    IBM
    Alex (from VMTurbo) has worked with the product for years and helped develop the product. He was very knowledgeable and was able to provide our support team with details knowledge on how to get our deployment configured correctly as well as help with another VMTurbo POC within another customers environment.
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    Online Training
    Google
    No answers on this topic
    IBM
    After buying VMTurbo Operations Manager, I was invited to an online user training event. I felt this training was effective and dug just deep enough to be informative yet still keep my attention. Additionally, the webinar was free.
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    Implementation Rating
    Google
    No answers on this topic
    IBM
    The implementation was very simple. Just upload an OVA file and power on the VM. Once it comes up enter some networking information and you can then access the web interface. From there, just begin configuring the system for your environment by adding you license and the various virtual environments and storage through the inventory tab
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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
    As the organization had experience of years in using IBM products, we had the confidence that they will provide us with great support. And we needed a reliable solution as a financial institute to ensure continuous operations. Even though the price was very high, we made the correct decision to go ahead with IBM Turbonomic as the feedback from existing users in the region was very positive. We needed a solution which was capable of handling our automation requirements. All these were green in IBM Turbonomic.
    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.
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    IBM
    It’s very scalable.
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    Professional Services
    Google
    No answers on this topic
    IBM
    Professional services were always there to guide us in our transformation to the cloud. They understood our business model and then were able to provide guidance on what we needed from the tool.
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    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
    • Application performance has been a big one. With Turbonomic keeping everything running at top performance, it can make changes when extra resources are need, quicker than somebody being notified and then making the necessary changes.
    • Turbonomic has been a great cost savings for us on multiple occasions. We use it every time we are improving servers.
    • With the planning feature we get the best performance form new hardware purchases
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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.

    IBM Turbonomic Screenshots

    Screenshot of IBM Turbonomic Action Center, where it shows the list of optimization actions across the global environment—on-prem and cloud—that should be taken to minimize cost while assuring performance.Screenshot of IBM Turbonomic Application, a view that shows the global environment across private and public infrastructure from the context of individual application components. Users can optimize one application at a time by viewing each app's pending actions. The Supply Chain at left shows all of the entities across applications and their interdependencies.Screenshot of The IBM Turbonomic Cloud Executive Dashboard, an out of the box dashboard that allow users to rapidly communicate value to executives. This view shows the cloud cost savings opportunities realized and not yet realized over any time period.Screenshot of The IBM Turbonomic On-prem Executive Dashboard, an out of the box dashboard that allow users to rapidly communicate value to executives. This view shows the savings opportunities realized and not yet realized over any time period.Screenshot of an IBM Turbonomic Cloud view, where the public cloud environment(s) and all of the pending actions required to bring them into an efficient, performant state. The Supply Chain at left shows all of the entities in the public cloud(s) and their interdependencies.Screenshot of The IBM Turbonomic On-Prem view that shows the user's private data center environment(s) and all of the pending actions required to bring them into an efficient, performant state. The Supply Chain at left shows all of the entities in data center(s) and the interdependencies between them.