Google Kubernetes Engine vs HPE Ezmeral Container Platform comparison

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1,656 views|1,294 comparisons
93% willing to recommend
Hewlett Packard Enterprise Logo
1,271 views|962 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Google Kubernetes Engine and HPE Ezmeral Container Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Red Hat, Amazon Web Services (AWS), VMware and others in Container Management.
To learn more, read our detailed Container Management Report (Updated: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The main advantage of GKE is that it is a managed service. This means that Google is responsible for managing the master node in the Kubernetes cluster system. As a result, we can focus on deploying applications to the slaves, while Google handles any updates and security patches. The fact that GKE is fully integrated into the Google ecosystem, including solutions such as BigQuery and VertexAI. This makes it easier for us to integrate these tools into our process. This integration ultimately speeds up our time to market and reduces the time and effort spent on managing infrastructure. The managed aspect of GKE allows us to simply deploy and utilize it without having to worry about the technicalities of infrastructure management.""The solution is available across AWS, GCP and Azure and is seamless.""The initial setup is very easy. We can create our cluster using the command line, or using our console.""I am impressed with the product's output scaling.""Stability-wise, this solution is really good.""The scalability is the best feature.""The feature that I like the most is the ease of use as compared to AWS. Its ease of use is very high, and I can quickly deploy clusters with a simple template.""We appreciate that it is quite easy to set up a Kubernetes cluster in Google Cloud, using the managed services within this solution."

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"If customers focus on primary apps or if they are using them for data science, this is a good solution."

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Cons
"The user interface could be improved.""The product’s visible allocation feature needs improvement.""The tool's configuration features need improvement.""It needs to support load balancing.""The product's stability is an area of concern where improvements are required.""The notifications are not informative.""I would like the solution to integrate with another Kubernetes product. I would also like it to monitor other platforms. It needs to also include scale-up container in the tool's next release.""An area in which Google Kubernetes Engine could improve is configuration."

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"The modernization in Ezmeral could be improved."

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Pricing and Cost Advice
  • "We are planning to use external support, and hire a commercial partner for it."
  • "This is an open source solution, so there is no pricing or licensing."
  • "Currently, it costs around $1000 per month which sorted our deployment. So once we get more clients, having a huge suffix, costs can go up."
  • "I would rate Kubernetes' pricing four out of five."
  • "The price for Google Kubernetes Engine could be lower - I'd rate its pricing at three out of five."
  • "It is competitive, and it is not expensive. It is almost competitive with AWS and the rest of the cloud solutions. We are spending around 3K USD per month. There are four projects that are currently running, and each one is incurring a cost of around 3K USD."
  • "The pricing for GKE is dependent on the type of machine or virtual machine (VM) that is selected for the nodes in the cluster. There is a degree of flexibility in choosing the specifications of the machine, such as the number of CPUs, GPUs, and so on. Google provides a variety of options, allowing the user to create the desired cluster composition. However, the cost can be quite steep when it comes to regional clusters, which are necessary for high availability and failover. This redundancy is crucial for businesses and is required to handle an increase in requests in case of any issues in one region, such as jumping to a different region in case of a failure in the Toronto region. While it may be tempting to choose the cheapest type of machines, this may result in a limited capacity and user numbers, requiring over-provisioning to handle additional requests, such as those for a web application."
  • "Its pricing is good. They bill us only per user. That's nice."
  • More Google Kubernetes Engine Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Pricing is always a concern. We keep running the service, and we need to pay for it. I rate the pricing a seven or eight out of ten.
    Top Answer:The notifications are not informative. It's a little confusing at times.
    Top Answer: Thank you for initiating this discussion on the HPE Ezmeral Container Platform and seeking community feedback on areas for improvement. While the platform has its strengths, some users have expressed… more »
    Ranking
    9th
    Views
    1,656
    Comparisons
    1,294
    Reviews
    25
    Average Words per Review
    487
    Rating
    8.1
    17th
    Views
    1,271
    Comparisons
    962
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    GKE
    Learn More
    Overview

    Kubernetes Engine is a managed, production-ready environment for deploying containerized applications. It brings our latest innovations in developer productivity, resource efficiency, automated operations, and open source flexibility to accelerate your time to market.

    Accelerate your journey to hybrid cloud with the industry’s first enterprise-grade container software platform for cloud-native and distributed non-cloud native applications.

    Sample Customers
    Philips Lighting, Alpha Vertex, GroupBy, BQ
    data iku, StreamSets, unravel
    Top Industries
    REVIEWERS
    Financial Services Firm25%
    Energy/Utilities Company13%
    Comms Service Provider13%
    Manufacturing Company13%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company12%
    Manufacturing Company9%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm14%
    Government13%
    University9%
    Company Size
    REVIEWERS
    Small Business46%
    Midsize Enterprise14%
    Large Enterprise40%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise16%
    Large Enterprise63%
    Buyer's Guide
    Container Management
    May 2024
    Find out what your peers are saying about Red Hat, Amazon Web Services (AWS), VMware and others in Container Management. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Google Kubernetes Engine is ranked 9th in Container Management with 32 reviews while HPE Ezmeral Container Platform is ranked 17th in Container Management. Google Kubernetes Engine is rated 8.0, while HPE Ezmeral Container Platform is rated 7.0. The top reviewer of Google Kubernetes Engine writes "The auto-scaling feature helps during peak hours, but the support is not great". On the other hand, the top reviewer of HPE Ezmeral Container Platform writes "Easy to install with good support, but the deployment of applications could be simplified". Google Kubernetes Engine is most compared with Linode, Kubernetes, Rancher Labs, Red Hat OpenShift Container Platform and Illumio, whereas HPE Ezmeral Container Platform is most compared with Red Hat OpenShift Container Platform, Kubernetes, Amazon EKS, VMware Tanzu Mission Control and Docker.

    See our list of best Container Management vendors.

    We monitor all Container Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.