Google Compute Engine vs ConoHa

Overview

Google Compute Engine

Stacks12.4K

Followers9.2K

Votes423

ConoHa

Stacks9

Followers7

Votes0

Google Compute Engine vs Conoha: What are the differences?

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.

What is Conoha? A hosting service that continues to evolve. It is the only SDD virtual hosting service in Japan with the latest in high performance cloud technology.

Google Compute Engine and Conoha can be primarily classified as "Cloud Hosting" tools.

Some of the features offered by Google Compute Engine are:

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.

On the other hand, Conoha provides the following key features:

No minimum usage period / initial cost
Web display speed is No.1 in Japan
High load resistance and stable performance at any time

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Advice on Google Compute Engine, ConoHa

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

Google Compute Engine	ConoHa
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.	It is the only SDD virtual hosting service in Japan with the latest in high performance cloud technology.
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.	No minimum usage period / initial cost; Web display speed is No.1 in Japan; High load resistance and stable performance at any time
Statistics
Stacks 12.4K	Stacks 9
Followers 9.2K	Followers 7
Votes 423	Votes 0
Pros & Cons
Pros 87 Backed by google 79 Easy to scale 75 High-performance virtual machines 57 Performance 52 Fast and easy provisioning	No community feedback yet
Integrations
RightScale Qubole Scalr Boundary Red Hat Codeready Workspaces Kinvey New Relic Twilio SendGrid Zencoder	No integrations available

What are some alternatives to Google Compute Engine, ConoHa?

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.

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

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

Scaleway

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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

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

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WebFaction

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Joyent Cloud

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