Software Alternatives & Startups

Google Kubernetes Engine VS Azure Stack

Compare Google Kubernetes Engine VS Azure Stack and see what are their differences

Google Kubernetes Engine

Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

Rating
0 reviews
Azure Stack

Microsoft Azure Stack is an extension of Azure that brings the innovation of cloud computing to build and deploy hybrid applications anywhere.

Rating
0 reviews

Which is more popular?

Based on our record, Google Kubernetes Engine seems to be a lot more popular than Azure Stack. While we know about 55 links to Google Kubernetes Engine, we've tracked only 3 mentions of Azure Stack.

social mentions
55 vs 3
Developer Tools popularity
100% vs 0%
alternatives listed
240+ vs 44

Base details

Website, pricing, platforms and company facts side by side.

Google Kubernetes Engine
Azure Stack
Website cloud.google.com azure.microsoft.com
Listed in

Features and specs

What each product offers, as listed by its team.

Google Kubernetes Engine 6 features
Azure Stack 5 features
  • Managed Service
    GKE is a fully managed service, which means Google takes care of tasks like provisioning, maintenance, and updates of the cluster, reducing the operational burden on users.
  • Scalability
    GKE offers robust scalability options, allowing you to easily scale your applications up or down based on demand. This is facilitated through auto-scaling features for both nodes and pods.
  • Integration with Google Cloud Services
    GKE integrates seamlessly with other Google Cloud services such as Cloud Storage, BigQuery, and more, providing a streamlined experience for leveraging multiple cloud tools.
  • Security
    GKE offers advanced security features like private clusters, and integrates with Google Cloud IAM, which allows for fine-grained access control, helping to secure your Kubernetes environment.
  • Ease of Use
    GKE's comprehensive dashboard, command-line interface, and supporting documentation make it easy to deploy, manage, and monitor Kubernetes clusters.
  • Global Reach
    With GKE, you can deploy clusters across multiple regions and zones, giving you the ability to build highly available, geographically dispersed applications.

Possible disadvantages

  • Cost
    While GKE offers extensive features, it can be more expensive compared to other Kubernetes solutions, especially when additional services and high-availability features are utilized.
  • Limited Customization
    As a managed service, GKE has some limitations in terms of customization and control over the underlying infrastructure compared to self-managed Kubernetes environments.
  • Complexity
    Despite its ease of use features, GKE still requires a certain level of expertise to efficiently manage Kubernetes clusters, which can be a steep learning curve for beginners.
  • Dependence on Google Cloud
    Using GKE ties you to the Google Cloud ecosystem, which may limit flexibility if you decide to migrate to a different cloud provider or adopt a multi-cloud strategy.
  • Resource Constraints
    Like all cloud services, GKE nodes can be subject to resource limits and quotas imposed by Google Cloud, which can impact performance if not properly managed.
  • SLA and Downtime
    While Google Cloud offers Service Level Agreements (SLAs), there is still a risk of downtime which could affect your applications. Additionally, relying on a third-party provider means issues may take time to resolve.
  • Hybrid Cloud Capabilities
    Azure Stack allows for a seamless hybrid cloud experience, enabling organizations to use Azure services both on-premises and in the cloud, which promotes flexibility and scalability in IT infrastructure.
  • Consistent Development Environment
    Developers can use the same tools, APIs, and processes used in the Azure public cloud, providing a consistent and efficient development experience across environments.
  • Data Sovereignty
    Organizations can keep sensitive data on-premises, complying with regional data sovereignty laws and regulations while still leveraging Azure services.
  • Edge Computing
    Azure Stack can process and analyze data locally, close to the source, which is beneficial for scenarios that require low latency, such as IoT and real-time analytics.
  • Customizable Hardware
    Azure Stack can be deployed on hardware options from several OEM partners, offering flexibility in terms of hardware choices to meet specific organizational needs.

Possible disadvantages

  • Initial Cost
    Implementing Azure Stack can be expensive due to the need for specific hardware, licensing fees, and the potential complexity of integration with existing systems.
  • Management Complexity
    Managing an Azure Stack environment can be complex, requiring skilled personnel and additional resources to maintain and support the hybrid cloud infrastructure.
  • Limited Service Availability
    Not all Azure services available in the public cloud are supported on Azure Stack, which may restrict certain functionalities and require careful planning and architecture design.
  • Updates and Maintenance
    Azure Stack requires regular updates and maintenance to keep it aligned with the Azure cloud and to ensure security, which can add to operational overhead.
  • Scalability Constraints
    Although Azure Stack offers scalability, it is still bound by on-premises infrastructure limits, which may constrain growth compared to the scalability offered by the full Azure public cloud.

Analysis

An editorial look at what each product does well and who it suits.

Google Kubernetes Engine
Azure Stack

Overall verdict

  • Overall, many users find GKE to be a powerful and reliable platform for container orchestration, especially when leveraging other Google Cloud Platform services.

Why this product is good

  • Google Kubernetes Engine (GKE) is considered good because it is a managed environment for deploying, managing, and scaling containerized applications using Google infrastructure. It offers seamless integration with other Google Cloud services, robust cluster management, strong security features, auto-scaling capabilities, and a strong focus on performance and reliability. It also benefits from Google's expertise in Kubernetes, as Google was a primary contributor to the Kubernetes project.

Recommended for

  • Organizations adopting a microservices architecture.
  • Developers looking for a managed Kubernetes solution.
  • Teams that need seamless integration with other Google Cloud services.
  • Companies aiming to efficiently scale their applications with auto-scaling features.
  • Enterprises that require robust security features and compliance with industry standards.

No analysis of Azure Stack yet.

Videos

Walkthroughs and reviews on video.

Google Kubernetes Engine 3 videos + Add
Azure Stack 3 videos + Add

Getting Started with Containers and Google Kubernetes Engine (Cloud Next '18)

More videos

  • - Optimize cost to performance on Google Kubernetes Engine
  • - Google Kubernetes Engine (GKE) | Coupon: UDEMYSEP20 - Kubernetes Made Easy | Kubernetes Tutorial

Azure Stack - An extension of Azure | Azure Friday

More videos

  • - Azure Stack HCI 20H2 with Cosmos Darwin
  • - Dell EMC Solutions for Microsoft Azure Stack HCI Deep Dive

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Google Kubernetes Engine
Azure Stack
100% 100%
0% 0%
79% 79%
21% 21%
0% 0%
100% 100%
100% 100%
0% 0%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Google Kubernetes Engine no reviews yet
Azure Stack no reviews yet

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We have no reviews of Azure Stack yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Google Kubernetes Engine 55 mentions
Azure Stack 3 mentions
  • How to Build Kubernetes as a Service with Custom Controllers
    Workload clusters — typically managed Kubernetes such as GKE — are outputs of the control plane, registered back into a multi-cluster manager once they become ready. - Source: dev.to / 3 days ago
  • The Fairwater Paradox: Microsoft Built a Monster That Needs 900TB/Second of USEFUL Data
    Have you ever tried to coordinate 84,000 anything? I helped launch Google Kubernetes Engine. Coordinating 1,000 nodes was hard. 84,000 storage accounts? That's not engineering. That's prayer. - Source: dev.to / 5 months ago
  • Bridging the Gap: Future Directions for Kubernetes and Distributed Systems
    When Pokémon GO launched, the world went wild. At Google, we watched as our product, Google Kubernetes Engine, handled a scale we had only theorized about. The game shattered every record for a consumer workload and became a massive... - Source: dev.to / 5 months ago

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  • Oxide: The Cloud Computer
    Oracle, AWS & Azure all have "Cloud at Customer" offerings. And these offerings have existed for years. https://www.oracle.com/cloud/cloud-at-customer/ https://azure.microsoft.com/en-us/products/azure-stack https://aws.amazon.com/outposts/. - Source: Hacker News / almost 3 years ago
  • Some old propaganda from the Windows 7 Retail Release.
    Azure runs a specialised version of Windows server called Azure Stack. You can get info on the versions Microsoft released to the public here https://azure.microsoft.com/en-us/overview/azure-stack/. Source: over 4 years ago
  • Did they just invent on-prem hosting?
    Azure Stack - https://azure.microsoft.com/en-us/overview/azure-stack/. Source: about 5 years ago

Alternatives to Google Kubernetes Engine and Azure Stack

When comparing Google Kubernetes Engine and Azure Stack, you can also consider the following products.