Google Kubernetes Engine vs. IBM Turbonomic

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Kubernetes Engine
Score 8.4 out of 10
N/A
Google Kubernetes Engine supplies containerized application management powered by Kubernetes which includes Google Cloud services including load balancing, automatic scaling and upgrade, and other Google Cloud services.
$0.04
vCPU-hr Autopilot Mode
IBM Turbonomic
Score 9.0 out of 10
Enterprise companies (1,001+ employees)
IBM Turbonomic 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. IBM states that Turbonomic customers report an average 33% reduction in cloud and infrastructure waste without impacting application performance, and return-on-investment of 471% over three years over…
$3,333
per month per installation
Pricing
Google Kubernetes EngineIBM Turbonomic
Editions & Modules
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0000438
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Regular Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0014767
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0039380
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - Regular Price
$0.0049225
GKE Autopilot Price GB-hr
Autopilot Mode - Spot Price
$0.0133
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 3 year commitment price (USD)
$0.02
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0356000
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - Regular Price
$0.0445
vCPU Price vCPU-hr
Standard Mode
$0.10
per hour
Cluster Management
$0.10
per cluster per hour
Cluster Management
$74.40 monthly credit
per month per hour
Standard Mode - Free Version
Free
per hour
IBM® Turbonomic Cloud Optimization Essentials
$3,333
per month per installation
IBM® Turbonomic Hybrid Standard (Software)
Varies - Request a Quote
per month Advanced hybrid cloud optimization capabilities for customers with 200 managed virtual servers (MVS) or more
IBM® Turbonomic Cloud Standard
Varies - Request a Quote
per month For customers with more than $2 million USD annual cloud spend
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 Kubernetes EngineIBM Turbonomic
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details* Estimated prices do not include tax and are for new Turbonomic customers, initial purchase only. Volume discounting available.
More Pricing Information
Community Pulse
Google Kubernetes EngineIBM Turbonomic
Features
Google Kubernetes EngineIBM Turbonomic
Container Management
Comparison of Container Management features of Product A and Product B
Google Kubernetes Engine
8.6
1 Ratings
8% above category average
IBM Turbonomic
-
Ratings
Security and Isolation7.01 Ratings00 Ratings
Container Orchestration10.01 Ratings00 Ratings
Cluster Management10.01 Ratings00 Ratings
Storage Management8.01 Ratings00 Ratings
Resource Allocation and Optimization9.01 Ratings00 Ratings
Discovery Tools6.01 Ratings00 Ratings
Update Rollouts and Rollbacks10.01 Ratings00 Ratings
Self-Healing and Recovery9.01 Ratings00 Ratings
Analytics, Monitoring, and Logging8.01 Ratings00 Ratings
Cloud Management
Comparison of Cloud Management features of Product A and Product B
Google Kubernetes Engine
-
Ratings
IBM Turbonomic
7.7
9 Ratings
13% below category average
Cloud Management Security00 Ratings7.57 Ratings
Automation and Orchestration00 Ratings8.08 Ratings
Cost Management00 Ratings8.09 Ratings
Cloud Management Performance Monitoring00 Ratings7.69 Ratings
Governance and Compliance00 Ratings7.89 Ratings
Resource Management00 Ratings8.28 Ratings
Systems Integration00 Ratings7.18 Ratings
Best Alternatives
Google Kubernetes EngineIBM Turbonomic
Small Businesses
Portainer
Portainer
Score 9.4 out of 10
VMware Cloud Director
VMware Cloud Director
Score 8.7 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
Cohesity
Cohesity
Score 8.5 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.2 out of 10
VMware Cloud Director
VMware Cloud Director
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Kubernetes EngineIBM Turbonomic
Likelihood to Recommend
8.0
(8 ratings)
9.1
(141 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(24 ratings)
Usability
8.0
(4 ratings)
8.0
(21 ratings)
Availability
-
(0 ratings)
10.0
(3 ratings)
Performance
-
(0 ratings)
8.0
(6 ratings)
Support Rating
9.0
(5 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)
7.6
(5 ratings)
Product Scalability
-
(0 ratings)
7.3
(4 ratings)
Professional Services
9.0
(1 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 Kubernetes EngineIBM Turbonomic
Likelihood to Recommend
Google
If your application is complex, if it's planet-scale, or if you need autoscaling, then Kubernetes is best suited. If your application is straightforward, you can opt for App Engine or Cloud Run. In many cases, you can prefer to run the cloud on GKE. But once you deploy on Kubernetes, you get the flexibility to try different things. But if you don't seek flexibility, it's not an option for you.
Read full review
IBM
Measure the usage of resources across different platforms, from Kubernetes to VMs on-premises or in the cloud, to obtain current capacity metrics and plan for future scenarios. Reduce IT infrastructure costs by taking automated actions based on resource underutilization, such as shutting down VMs or changing resource definitions.
Read full review
Pros
Google
  • Engine upgrade rollout strategy - well documented and configurable
  • Integration with other Google Cloud services like the Compute Engine, SaaS databases, and some cloud networking like Cloud Armor
  • Graphical interface for a lot of operations - either for a quick peek/overview or actual work done by administrators and/or developers (via the Google Cloud Console, for example)
Read full review
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.
Read full review
Cons
Google
  • Support of IPv6.
  • Better GitOps.
  • A "serverless" Kubernetes so we can install Google config connector will be really awesome.
  • Container-native load balancers do not support internal TCP/UDP load balancers or network load balancers.
Read full review
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
No answers on this topic
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
Read full review
Usability
Google
  • Google Kubernetes Engine has a good UI and documentation that facilitates setup and helps get projects moving along quickly
  • Its built-in logging integrations with StackDriver make it easier to monitor the application and log issues quickly
  • Automated orchestration, deployment, and scaling of nodes and networking are all easily configurable with yaml files
Read full review
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.
Read full review
Reliability and Availability
Google
No answers on this topic
IBM
VMTurbo has not caused any outages by not doing what we expect it to do.
Read full review
Performance
Google
No answers on this topic
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.
Read full review
Support Rating
Google
Very good Kubernetes distribution with a reasonable total price. Integration with storage and load balancer for ingress and services speed up every process deployment.
Read full review
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.
Read full review
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.
Read full review
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.
Read full review
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
Read full review
Alternatives Considered
Google
GKE spins up new nodes a LOT faster than AKS. GKE's auto scaler runs a lot smoother than AKS. GKE has a lot more Kubernetes features baked in natively.
Read full review
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.
Read full review
Scalability
Google
No answers on this topic
IBM
It’s very scalable.
Read full review
Professional Services
Google
  • When issues came up, we reached out to some folks at GCP and they seemed to be very prompt and attentive to our needs. They were always willing to help and provide additional details or recommendations or links to resources. This kind of support is very helpful as it allows us to navigate GKE with more confidence.
Read full review
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.
Read full review
Return on Investment
Google
  • Reduced cloud computing costs.
  • Easier management of applications.
  • Extra time investment to learn how to setup applications in Google versus Amazon.
Read full review
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
Read full review
ScreenShots

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 Action Center, a display of 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 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.