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

Domino vs Google AI Platform

OverviewComparisonAlternatives

Overview

Domino
Domino
Stacks26
Followers29
Votes0
Google AI Platform
Google AI Platform
Stacks49
Followers119
Votes0

Domino vs Google AI Platform: What are the differences?

What is Domino? 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.

What is Google AI Platform? Create your AI applications once, then run them easily on both GCP and on-premises. Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.

Domino can be classified as a tool in the "Platform as a Service" category, while Google AI Platform is grouped under "Machine Learning as a Service".

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, Google AI Platform provides the following key features:

  • “No lock-in” flexibility
  • Supports Kubeflow
  • Supports TensorFlow

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Detailed Comparison

Domino
Domino
Google AI Platform
Google AI Platform

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.

Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.

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
“No lock-in” flexibility; Supports Kubeflow; Supports TensorFlow; Supports TPUs; Build portable ML pipelines; on-premises or on Google Cloud; TFX tools
Statistics
Stacks
26
Stacks
49
Followers
29
Followers
119
Votes
0
Votes
0
Integrations
No integrations available
Google Cloud Storage
Google Cloud Storage
Google BigQuery
Google BigQuery
TensorFlow
TensorFlow
Google Cloud Dataflow
Google Cloud Dataflow
Kubeflow
Kubeflow

What are some alternatives to Domino, Google AI Platform?

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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