Apollo vs Google AI Platform

Overview

Apollo

Stacks2.7K

Followers1.8K

Votes25

Google AI Platform

Stacks49

Followers119

Votes0

Apollo vs Google AI Platform: What are the differences?

Developers describe Apollo as "GraphQL server for Express, Connect, Hapi, Koa and more". Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes. On the other hand, Google AI Platform is detailed as "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.

Apollo 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".

Apollo is an open source tool with 7.55K GitHub stars and 940 GitHub forks. Here's a link to Apollo's open source repository on GitHub.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

Apollo	Google AI Platform
Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.	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.
-	“No lock-in” flexibility; Supports Kubeflow; Supports TensorFlow; Supports TPUs; Build portable ML pipelines; on-premises or on Google Cloud; TFX tools
Statistics
Stacks 2.7K	Stacks 49
Followers 1.8K	Followers 119
Votes 25	Votes 0
Pros & Cons
Pros 12 From the creators of Meteor 8 Great documentation 3 Open source 2 Real time if use subscription Cons 1 File upload is not supported 1 Increase in complexity of implementing (subscription)	No community feedback yet
Integrations
GraphQL	Google Cloud Storage Google BigQuery TensorFlow Google Cloud Dataflow Kubeflow

What are some alternatives to Apollo, Google AI Platform?

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 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 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

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

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 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

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

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 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

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.