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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Virtual Private Cloud
  5. Amazon VPC vs Google Compute Engine

Amazon VPC vs Google Compute Engine

OverviewDecisionsComparisonAlternatives

Overview

Amazon VPC
Amazon VPC
Stacks1.6K
Followers746
Votes46
Google Compute Engine
Google Compute Engine
Stacks12.4K
Followers9.2K
Votes423

Amazon VPC vs Google Compute Engine: What are the differences?

## Introduction
This markdown code compares key differences between Amazon VPC and Google Compute Engine.

1. **Networking Model**: One key difference between Amazon VPC and Google Compute Engine is in their networking model. Amazon VPC offers a flexible networking model that allows you to customize your virtual networking environment, including creating multiple subnets and configuring route tables. On the other hand, Google Compute Engine uses a global, software-defined networking model that provides low-latency and high-performance connections between virtual machines.

2. **Pricing Structure**: Another important difference lies in the pricing structure of Amazon VPC and Google Compute Engine. Amazon VPC charges for the resources you use, such as the number of subnets, elastic IP addresses, and data transfer. In contrast, Google Compute Engine offers a simplified pricing model that includes per-second billing with sustained use discounts, making it easier to estimate and control costs.

3. **Storage Options**: Amazon VPC and Google Compute Engine also differ in their storage options. Amazon VPC integrates seamlessly with Amazon S3 and Amazon EBS for object and block storage, respectively. Google Compute Engine, on the other hand, provides its own storage services like Google Cloud Storage and Persistent Disk, with features such as multi-regional replication and automatic tiering.

4. **API Ecosystem**: Amazon VPC and Google Compute Engine offer different API ecosystems for managing and automating your virtual infrastructure. Amazon VPC provides the Amazon EC2 API, which allows you to interact with virtual machines, networks, and security groups. Google Compute Engine, on the other hand, offers the Google Cloud API, which provides similar functionalities but with Google-specific services such as Cloud Functions and BigQuery.

5. **Security and Compliance**: When it comes to security and compliance, Amazon VPC and Google Compute Engine have distinct approaches. Amazon VPC offers a variety of security features such as network access control lists (ACLs) and security groups to control inbound and outbound traffic. Google Compute Engine, on the other hand, emphasizes security through its Identity and Access Management (IAM) service and encryption at rest and in transit.

In Summary, the key differences between Amazon VPC and Google Compute Engine lie in their networking models, pricing structures, storage options, API ecosystems, and security and compliance approaches. Each platform offers unique features and benefits for users to consider when choosing a cloud computing provider.

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Advice on Amazon VPC, Google Compute Engine

Stephen
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.

203k views203k
Comments

Detailed Comparison

Amazon VPC
Amazon VPC
Google Compute Engine
Google Compute Engine

You have complete control over your virtual networking environment, including selection of your own IP address range, creation of subnets, and configuration of route tables and network gateways. You can easily customize the network configuration for your Amazon VPC.

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.

Create an Amazon Virtual Private Cloud on AWS's scalable infrastructure, and specify its private IP address range from any range you choose.;Divide your VPC’s private IP address range into one or more public or private subnets to facilitate running applications and services in your VPC.;Control inbound and outbound access to and from individual subnets using network access control lists.;Store data in Amazon S3 and set permissions such that the data can only be accessed from within your Amazon VPC.;Assign multiple IP addresses and attach multiple elastic network interfaces to instances in your VPC.;Attach one or more Amazon Elastic IP addresses to any instance in your VPC so it can be reached directly from the Internet.;Bridge your VPC and your onsite IT infrastructure with an encrypted VPN connection, extending your existing security and management policies to your VPC instances as if they were running within your infrastructure.
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
1.6K
Stacks
12.4K
Followers
746
Followers
9.2K
Votes
46
Votes
423
Pros & Cons
Pros
  • 40
    Secure
  • 6
    Flexible, good isolation, various connectivity options
Pros
  • 87
    Backed by google
  • 79
    Easy to scale
  • 75
    High-performance virtual machines
  • 57
    Performance
  • 52
    Fast and easy provisioning
Integrations
No integrations available
RightScale
RightScale
Qubole
Qubole
Scalr
Scalr
Boundary
Boundary
Red Hat Codeready Workspaces
Red Hat Codeready Workspaces
Kinvey
Kinvey
New Relic
New Relic
Twilio SendGrid
Twilio SendGrid
Zencoder
Zencoder

What are some alternatives to Amazon VPC, Google Compute Engine?

DigitalOcean

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

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.

Microsoft Azure

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.

Linode

Linode

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

Scaleway

Scaleway

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

Rackspace Cloud Servers

Rackspace Cloud Servers

Cloud Servers is based on OpenStack, the open and scalable operating system for building public and private clouds. With the open cloud, you get reliable cloud hosting, without locking your data into one proprietary platform.

Google Cloud Platform

Google Cloud Platform

It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.

Gandi

Gandi

Gandi VPS Cloud Hosting offers you a flexible server with dedicated resources. The VPS virtualization is made possible by Xen technology.

WebFaction

WebFaction

No need to spend hours installing and configuring the software, database and other tools. We have over 50 one-click installers in our control panel.

Joyent Cloud

Joyent Cloud

Joyent is the high-performance cloud infrastructure company, offering the only solution specifically built to power real-time web and mobile applications.

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