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  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Platform As A Service
  5. Cloud Foundry vs Domino

Cloud Foundry vs Domino

OverviewComparisonAlternatives

Overview

Cloud Foundry
Cloud Foundry
Stacks188
Followers346
Votes5
Domino
Domino
Stacks26
Followers29
Votes0

Cloud Foundry vs Domino: What are the differences?

Developers describe Cloud Foundry as "Deploy and scale applications in seconds on your choice of private or public cloud". Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications. On the other hand, Domino is detailed as "A PaaS for data science - easily run R, Python or Matlab code in the cloud with automatic version control for data, code, and results". Use our cloud-hosted infrastructure to securely run your code on powerful hardware with a single command — without any changes to your code. If you have your own infrastructure, our Enterprise offering provides powerful, easy-to-use cluster management functionality behind your firewall.

Cloud Foundry and Domino can be categorized as "Platform as a Service" tools.

Some of the features offered by Cloud Foundry are:

  • Application and services centric lifecycle API
  • High performance dynamic routing
  • Buildpack support

On the other hand, Domino provides the following key features:

  • Domino Cloud supports the most powerful data analysis languages — Python, R, MATLAB, and Julia
  • Modern and powerful cluster management
  • Use a single-core machine during development

Cloud Foundry is an open source tool with 605 GitHub stars and 532 GitHub forks. Here's a link to Cloud Foundry's open source repository on GitHub.

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Detailed Comparison

Cloud Foundry
Cloud Foundry
Domino
Domino

Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications.

Use our cloud-hosted infrastructure to securely run your code on powerful hardware with a single command — without any changes to your code. If you have your own infrastructure, our Enterprise offering provides powerful, easy-to-use cluster management functionality behind your firewall.

Application and services centric lifecycle API;High performance dynamic routing;Buildpack support;Data and web services brokers;Linux Container management;Role Based Access and Teams;Active application health management;Standards based user authentication and authorization;Integrated real time logging API;Multi-provider ecosystem
Domino Cloud supports the most powerful data analysis languages — Python, R, MATLAB, and Julia;Modern and powerful cluster management;Use a single-core machine during development; then, with one click, scale up to a 32-core machine to crunch through that data quickly;Domino installs, maintains, and updates common platform dependencies so you never get stuck in “version hell” again;Domino automatically keeps a revisioned history of all three — code, data, and results — so you can always reproduce past work;Easy synchronization, Email notifications & reports, and Discusscussions
Statistics
Stacks
188
Stacks
26
Followers
346
Followers
29
Votes
5
Votes
0
Pros & Cons
Pros
  • 2
    Perfectly aligned with springboot
  • 1
    Application health management
  • 1
    Free service discovery (Eureka)
  • 1
    Free distributed tracing (zipkin)
No community feedback yet
Integrations
VMware vSphere
VMware vSphere
Logentries
Logentries
Amazon EC2
Amazon EC2
OpenStack
OpenStack
Papertrail
Papertrail
Amazon VPC
Amazon VPC
Splunk Cloud
Splunk Cloud
Sumo Logic
Sumo Logic
No integrations available

What are some alternatives to Cloud Foundry, Domino?

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.

Red Hat OpenShift

Red Hat OpenShift

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.

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.

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