AWS Elastic Beanstalk vs Google Compute Engine

Overview

AWS Elastic Beanstalk

Stacks2.1K

Followers1.8K

Votes241

Google Compute Engine

Stacks12.4K

Followers9.2K

Votes423

AWS Elastic Beanstalk vs Google Compute Engine: What are the differences?

What is AWS Elastic Beanstalk? Quickly deploy and manage applications in the AWS cloud. Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

What is Google Compute Engine? Run large-scale workloads on virtual machines hosted on Google's infrastructure. Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.

AWS Elastic Beanstalk and Google Compute Engine are primarily classified as "Platform as a Service" and "Cloud Hosting" tools respectively.

Some of the features offered by AWS Elastic Beanstalk are:

Elastic Beanstalk is built using familiar software stacks such as the Apache HTTP Server for Node.js, PHP and Python, Passenger for Ruby, IIS 7.5 for .NET, and Apache Tomcat for Java
There is no additional charge for Elastic Beanstalk - you pay only for the AWS resources needed to store and run your applications.
Easy to begin – Elastic Beanstalk is a quick and simple way to deploy your application to AWS. You simply use the AWS Management Console, Git deployment, or an integrated development environment (IDE) such as Eclipse or Visual Studio to upload your application

On the other hand, Google Compute Engine provides the following key features:

High-performance virtual machines- Compute Engine’s Linux VMs are consistently performant, scalable, highly secure and reliable. Supported distros include Debian and CentOS. You can choose from micro-VMs to large instances.
Powered by Google’s global network- Create large compute clusters that benefit from strong and consistent cross-machine bandwidth. Connect to machines in other data centers and to other Google services using Google’s private global fiber network.
(Really) Pay for what you use- Google bills in minute-level increments (with a 10-minute minimum charge), so you don’t pay for unused computing time.

"Integrates with other aws services" is the primary reason why developers consider AWS Elastic Beanstalk over the competitors, whereas "Backed by google" was stated as the key factor in picking Google Compute Engine.

9GAG, CircleCI, and Evernote are some of the popular companies that use Google Compute Engine, whereas AWS Elastic Beanstalk is used by eTobb, Custora, and DoxIQ. Google Compute Engine has a broader approval, being mentioned in 587 company stacks & 414 developers stacks; compared to AWS Elastic Beanstalk, which is listed in 370 company stacks and 113 developer stacks.

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Advice on AWS Elastic Beanstalk, Google Compute Engine

Stephen

Artificial Intelligence Fellow

Feb 4, 2020

Decided

GCE is much more user friendly than EC2, though Amazon has come a very long way since the early days (pre-2010's). This can be seen in how easy it is to edit the storage attached to an instance in GCE: it's under the instance details and is edited inline. In AWS you have to click the instance > click the storage block device (new screen) > click the edit option (new modal) > resize the volume > confirm (new model) then wait a very long time. Google's is nearly instant.

In both cases, the instance much be shut down.

There also the preference between "user burden-of-security" and automatic security: AWS goes for the former, GCE the latter.

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Detailed Comparison

AWS Elastic Beanstalk	Google Compute Engine
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.	Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.
Elastic Beanstalk is built using familiar software stacks such as the Apache HTTP Server for Node.js, PHP and Python, Passenger for Ruby, IIS 7.5 for .NET, and Apache Tomcat for Java;There is no additional charge for Elastic Beanstalk - you pay only for the AWS resources needed to store and run your applications.;Easy to begin – Elastic Beanstalk is a quick and simple way to deploy your application to AWS. You simply use the AWS Management Console, Git deployment, or an integrated development environment (IDE) such as Eclipse or Visual Studio to upload your application;Impossible to outgrow – Elastic Beanstalk automatically scales your application up and down based on default Auto Scaling settings;Complete control – Elastic Beanstalk lets you "open the hood" and retain full control over the AWS resources powering your application;Flexible – You have the freedom to select the Amazon EC2 instance type that is optimal for your application based on CPU and memory requirements, and can choose from several available database options;Reliable – Elastic Beanstalk runs within Amazon's proven network infrastructure and datacenters, and provides an environment where developers can run applications requiring high durability and availability.	High-performance virtual machines- Compute Engine’s Linux VMs are consistently performant, scalable, highly secure and reliable. Supported distros include Debian and CentOS. You can choose from micro-VMs to large instances.;Powered by Google’s global network- Create large compute clusters that benefit from strong and consistent cross-machine bandwidth. Connect to machines in other data centers and to other Google services using Google’s private global fiber network.;(Really) Pay for what you use- Google bills in minute-level increments (with a 10-minute minimum charge), so you don’t pay for unused computing time.;Load balancing- Native load-balancing technology helps you spread incoming network traffic across a pool of instances, so you can achieve maximum performance, throughput and availability at low cost.;Fast and easy provisioning- Quickly deploy large clusters of virtual machines with intuitive tools including a RESTful API, command-line interface and web-based Console. You can also use tools such as RightScale and Scalr to automatically manage your deployment.;Compliance and security- All data written to disk in Compute Engine is encrypted at rest using the AES-128-CBC algorithm. Compute Engine has completed ISO 27001, SSAE-16, SOC 1, SOC 2, and SOC 3 certifications, demonstrating our commitment to information security.
Statistics
Stacks 2.1K	Stacks 12.4K
Followers 1.8K	Followers 9.2K
Votes 241	Votes 423
Pros & Cons
Pros 77 Integrates with other aws services 65 Simple deployment 44 Fast 28 Painless 16 Free Cons 2 Charges appear automatically after exceeding free quota 1 Lots of moving parts and config 0 Slow deployments	Pros 87 Backed by google 79 Easy to scale 75 High-performance virtual machines 57 Performance 52 Fast and easy provisioning
Integrations
Docker Papertrail	RightScale Qubole Scalr Boundary Red Hat Codeready Workspaces Kinvey New Relic Twilio SendGrid Zencoder

What are some alternatives to AWS Elastic Beanstalk, Google Compute Engine?

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.

DigitalOcean

We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.

Amazon EC2

It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.

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.

Microsoft Azure

Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

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.

Linode

Get a server running in minutes with your choice of Linux distro, resources, and node location.

Scaleway

European cloud computing company proposing a complete & simple public cloud ecosystem, bare-metal servers & private datacenter infrastructures.

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.

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