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  1. Stackups
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  4. Platform As A Service
  5. Google Anthos vs OpenShift

Google Anthos vs OpenShift

OverviewComparisonAlternatives

Overview

Red Hat OpenShift
Red Hat OpenShift
Stacks1.6K
Followers1.4K
Votes517
GitHub Stars885
Forks510
Google Anthos
Google Anthos
Stacks54
Followers266
Votes8

Google Anthos vs OpenShift: What are the differences?

Introduction

Anthos and OpenShift are two popular platforms used for managing and deploying container-based applications. While both provide similar functionalities, there are several key differences between them that set them apart. In this article, we will explore and discuss the key differences between Google Anthos and OpenShift.

  1. Architecture and Technology: Anthos is based on the Kubernetes container orchestration platform and also integrates other Google Cloud technologies such as Istio, Knative, and Tekton. It provides a hybrid and multi-cloud approach, allowing users to manage and deploy applications across on-premises data centers, Google Cloud, and other cloud providers. OpenShift, on the other hand, is based on the open-source Kubernetes project and offers additional features such as integrated container registry and build automation. It provides a consistent container platform for both on-premises and cloud deployments.

  2. Vendor Lock-in: While both Anthos and OpenShift offer a multi-cloud approach, Anthos provides more flexibility by supporting deployments on any public cloud, on-premises, or edge infrastructure. This reduces the risk of vendor lock-in and allows organizations to choose the most suitable infrastructure for their applications. OpenShift, on the other hand, is primarily designed to work with Red Hat's OpenShift Container Platform and may have limitations when it comes to deploying on other cloud providers.

  3. Managed vs. On-premises: Anthos is a managed service provided by Google Cloud, which means that Google takes care of managing and maintaining the infrastructure underlying the Anthos platform. This allows organizations to focus more on their applications rather than the underlying infrastructure. OpenShift, on the other hand, can be deployed on-premises or in the cloud, giving organizations more control over their infrastructure but also requiring them to manage and maintain the platform themselves.

  4. Integration with Google Cloud Services: Anthos integrates seamlessly with various Google Cloud services, allowing organizations to leverage additional functionalities such as AI/ML services, data analytics, and serverless computing. This deep integration with Google Cloud can provide significant benefits for organizations already using Google Cloud or planning to use it in the future. OpenShift, however, does not have the same level of integration with Google Cloud services and may require additional setup and configuration to utilize these services.

  5. Pricing Model: Anthos follows a subscription-based pricing model, where organizations pay for the services and resources they consume. The pricing is based on factors such as the number of clusters, nodes, and the resources utilized. OpenShift, on the other hand, offers different pricing options depending on whether it is deployed on-premises or in the cloud. The on-premises version of OpenShift may require an upfront license cost, while the cloud-based version may follow a pay-as-you-go model.

  6. Community and Ecosystem: Anthos benefits from the large and active Kubernetes community, which contributes to the development and improvement of the underlying technologies. It also has access to the Google Cloud Marketplace, which offers a wide range of pre-configured solutions and applications. OpenShift, being part of the Red Hat ecosystem, also benefits from a large community and has its own marketplace with various certified solutions and services.

In Summary, Google Anthos and OpenShift differ in terms of architecture, vendor lock-in, managed vs. on-premises deployment options, integration with Google Cloud services, pricing model, and community ecosystem. These differences make Anthos a more flexible and integrated solution for organizations looking to deploy container-based applications across multiple cloud environments, while OpenShift provides a robust and customizable platform for on-premises and cloud deployments within the Red Hat ecosystem.

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Detailed Comparison

Red Hat OpenShift
Red Hat OpenShift
Google Anthos
Google Anthos

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

Formerly Cloud Services Platform, Anthos lets you build and manage modern hybrid applications across environments. Powered by Kubernetes and other industry-leading open-source technologies from Google.

Built-in support for Node.js, Ruby, Python, PHP, Perl, and Java (the standard in today's Enterprise);OpenShift is extensible with a customizable cartridge functionality that allows developers to add any other language they wish. We've seen everything from Clojure to Cobol running on OpenShift;OpenShift supports frameworks ranging from Spring, to Rails, to Play;Autoscaling- OpenShift can scale your application by adding additional instances of your application and enabling clustering. Alternatively, you can manually scale the amount of resources with which your application is deployed when needed;OpenShift by Red Hat is built on open-source technologies (Red Hat Enterprise Linux- RHEL);One Click Deployment- Deploying to the OpenShift platform is as easy a clicking a button or entering a "Git push" command
Google Kubernetes Engine Support; GKE On-Prem Support; Istio on GKE Support; Anthos Config Management; Stackdriver Support; Kubernetes applications on GCP Marketplace; Serverless; API management; Continuous integration; Continuous delivery
Statistics
GitHub Stars
885
GitHub Stars
-
GitHub Forks
510
GitHub Forks
-
Stacks
1.6K
Stacks
54
Followers
1.4K
Followers
266
Votes
517
Votes
8
Pros & Cons
Pros
  • 99
    Good free plan
  • 63
    Open Source
  • 47
    Easy setup
  • 43
    Nodejs support
  • 42
    Well documented
Cons
  • 2
    Decisions are made for you, limiting your options
  • 2
    License cost
  • 1
    Behind, sometimes severely, the upstreams
Pros
  • 3
    Operations support by Google SRE
  • 2
    Host Cloud Run (managed knative) anywhere
  • 1
    Automatic k8s upgrades
  • 1
    Access to Google Kubernetes Marketplace
  • 1
    Policy enforcement via ACM
Cons
  • 3
    Expensive
Integrations
No integrations available
Google Kubernetes Engine
Google Kubernetes Engine
Elasticsearch
Elasticsearch
MongoDB
MongoDB
GitLab
GitLab
Istio
Istio
Docker
Docker
Kubernetes
Kubernetes
Couchbase
Couchbase
Splunk
Splunk
Neo4j
Neo4j

What are some alternatives to Red Hat OpenShift, Google Anthos?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

PythonAnywhere

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

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