Amazon Elastic Container Service vs Google Kubernetes Engine comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Elastic Container Service and Google Kubernetes Engine based on real PeerSpot user reviews.

Find out in this report how the two Container Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Amazon Elastic Container Service vs. Google Kubernetes Engine Report (Updated: March 2024).
768,578 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 solution is user-friendly.""It has helped our organization greatly and especially on weekends because we have many transactions as our users are buying some kind of tools and paying online.""Once you get the procedure right, and set a pattern, it just works.""The tool helps us with maneuverability. Its most valuable feature is autoscaling.""Scalability and availability are the most valuable features of Amazon Elastic Container Service.""The most valuable feature is the volume size they offer.""The product's initial setup was very straightforward and not complex.""The most valuable feature of the solution is its scalability."

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"The initial setup is very easy. We can create our cluster using the command line, or using our console.""The product’s dashboard is very intuitive.""The features are typical Kubernetes, but Google One offers a better GUI-based deployment. It's more sophisticated and integrates well with other services, providing a better customer experience.""The scalability is the best feature.""On the tip of a command, you can scale in or scale out, and it offers every robust platform to implement DevOps processes for your automation solutions. The product fully supports the IaC concept.""The most valuable feature of Google Kubernetes Engine is how you can automatically scale and load balance.""The product has valuable security features. It can connect with multiple DevOps tools.""Google Kubernetes Engine is used for orchestrating Docker containers. We have 30 or 40 customers working with this solution now. We'll probably see 10 to 15 percent growth in the number of customers using Google Kubernetes Engine in the future."

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Cons
"The solution's stability is an area of concern where improvements are required.""The solution must improve backup and compatibility around OS like Windows and Mac.""The solution is expensive compared to other alternatives like Azure.""I rate the platform's stability an eight out of ten. It easily dies.""For Amazon EC2 Container Service, providing the ability for users to select specific processor, memory, disk, and interface types might be an ideal feature. But, the practicality of offering all possible physical combinations is nearly impossible due to the underlying physical machines. AWS and Azure organize options into groups based on essential components like powerful processors or critical interfaces, considering physical restrictions. While expanding these choices is conceivable, it may not be feasible from a financial and practical perspective. Customers generally comprehend this limitation, as even in their own data centers, exact physical machine requirements are often a result of a combination of factors such as price, availability, and new machine generations.""EC2 is not self-explanatory enough.""The solution's user experience and management are really bad.""Billing is extremely complex."

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"The monitoring part requires some serious improvements in Google Kubernetes Engine, as it does not have very good monitoring consoles.""The user interface could be improved.""t is not very stable.""Our critique is that we have to do too much work to get the cluster production-ready.""There is room for improvement in this solution. For example, auto-scaling can be complex. We expect it to be easier to set up and manage, even for our customers.""An area in which Google Kubernetes Engine could improve is configuration.""The notifications are not informative.""The product's stability is an area of concern where improvements are required."

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Pricing and Cost Advice
  • "I don't exactly deal with the pricing. We have a separate Infra team that deals with the pricing. They are more into the scalability part. Based on our requirements, the pricing will increase. The automation teams will test some of the benefits to see how can we can optimize the cost. They'll have a security manager connection and some alerts based upon the usage to see how to reduce the building cost based upon the installations."
  • "Our client is paying between $400 and $500 USD per month for this service."
  • "I don't know the exact amount we were charged for our use of ECS, but I do know that it can be costly, especially when there is a bug or an error caused by default configurations."
  • "The tool's licensing is monthly."
  • "The pricing is good."
  • "The solution's cost could be reduced."
  • "On a scale of one to ten, where one is low price and ten is high price, I rate Amazon EC2 Container Service’s pricing a four or five out of ten."
  • "The platform is inexpensive."
  • More Amazon Elastic Container Service 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:Implementing the product has helped me monitor the parameters. I utilize tools like CloudWatch and AWS systems to track these parameters. If any issues arise, I alert our developer team to address and… more »
    Top Answer:The solution must improve backup and compatibility around OS like Windows and Mac.
    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.
    Ranking
    8th
    Views
    1,727
    Comparisons
    1,160
    Reviews
    40
    Average Words per Review
    409
    Rating
    8.3
    9th
    Views
    1,701
    Comparisons
    1,329
    Reviews
    24
    Average Words per Review
    472
    Rating
    8.0
    Comparisons
    Also Known As
    Amazon ECS, Amazon EC2 Container Service
    GKE
    Learn More
    Overview

    Amazon Elastic Container Service (Amazon ECS) is a highly scalable, high-performance container orchestration service that supports Docker containers and allows you to easily run and scale containerized applications on AWS. Amazon ECS eliminates the need for you to install and operate your own container orchestration software, manage and scale a cluster of virtual machines, or schedule containers on those virtual machines.

    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.

    Sample Customers
    Ubisoft, GoPro, TIBCO, Remind
    Philips Lighting, Alpha Vertex, GroupBy, BQ
    Top Industries
    REVIEWERS
    Computer Software Company30%
    Financial Services Firm15%
    Recruiting/Hr Firm15%
    Manufacturing Company10%
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Computer Software Company10%
    Government8%
    Manufacturing Company7%
    REVIEWERS
    Financial Services Firm25%
    Energy/Utilities Company13%
    Comms Service Provider13%
    Manufacturing Company13%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company11%
    Manufacturing Company8%
    Comms Service Provider8%
    Company Size
    REVIEWERS
    Small Business52%
    Midsize Enterprise17%
    Large Enterprise31%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise73%
    REVIEWERS
    Small Business46%
    Midsize Enterprise14%
    Large Enterprise40%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise72%
    Buyer's Guide
    Amazon Elastic Container Service vs. Google Kubernetes Engine
    March 2024
    Find out what your peers are saying about Amazon Elastic Container Service vs. Google Kubernetes Engine and other solutions. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    Amazon Elastic Container Service is ranked 8th in Container Management with 46 reviews while Google Kubernetes Engine is ranked 9th in Container Management with 32 reviews. Amazon Elastic Container Service is rated 8.4, while Google Kubernetes Engine is rated 8.0. The top reviewer of Amazon Elastic Container Service writes "An easy to compute solution that can be used to take complete workloads to the cloud". On the other hand, the top reviewer of Google Kubernetes Engine writes "The auto-scaling feature helps during peak hours, but the support is not great". Amazon Elastic Container Service is most compared with OpenShift Container Platform, Microsoft Azure Container Service, VMware Tanzu Mission Control and Linode, whereas Google Kubernetes Engine is most compared with Linode, Kubernetes, VMware Tanzu Mission Control, OpenShift Container Platform and Trend Micro Deep Security. See our Amazon Elastic Container Service vs. Google Kubernetes Engine report.

    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.