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

Domino vs Render.com

OverviewComparisonAlternatives

Overview

Domino
Domino
Stacks26
Followers29
Votes0
Render
Render
Stacks276
Followers229
Votes157

Domino vs Render.com: What are the differences?

Developers describe Domino 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. On the other hand, Render.com is detailed as "A unified platform to build and run all your apps and websites". It 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.

Domino and Render.com can be categorized as "Platform as a Service" tools.

Some of the features offered by Domino are:

  • 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

On the other hand, Render.com provides the following key features:

  • Instant and continuous deploys from GitHub and GitLab
  • Global CDN
  • Fully managed PostgreSQL

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Detailed Comparison

Domino
Domino
Render
Render

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.

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.

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
Instant and continuous deploys from GitHub and GitLab; Global CDN; Fully managed PostgreSQL; Free SSL and custom domains; Static Sites; Private Networking; Disks; Cron jobs; Background workers; Dockerfile support; Infrastructure as Code; Simple, predictable pricing; Amazing support; Native support for Node, Elixir, Go, Ruby, Python, Rust; Reduced complexity; Zero Devops; No servers to manage.
Statistics
Stacks
26
Stacks
276
Followers
29
Followers
229
Votes
0
Votes
157
Pros & Cons
No community feedback yet
Pros
  • 24
    Very easy to start
  • 18
    Zero Downtime Deploys
  • 18
    Pull Request Previews
  • 18
    Easy deployment
  • 18
    Infrastructure as Code
Integrations
No integrations available
PostgreSQL
PostgreSQL
Ruby
Ruby
Node.js
Node.js
Python
Python
GitHub
GitHub
Rust
Rust
Golang
Golang
Elixir
Elixir
GitLab
GitLab

What are some alternatives to Domino, Render?

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.

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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