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  5. Google Compute Engine vs NATS

Google Compute Engine vs NATS

OverviewDecisionsComparisonAlternatives

Overview

Google Compute Engine
Google Compute Engine
Stacks12.4K
Followers9.2K
Votes423
NATS
NATS
Stacks394
Followers498
Votes60

Google Compute Engine vs NATS: What are the differences?

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; NATS: Lightweight publish-subscribe & distributed queueing messaging system. Unlike traditional enterprise messaging systems, NATS has an always-on dial tone that does whatever it takes to remain available. This forms a great base for building modern, reliable, and scalable cloud and distributed systems.

Google Compute Engine and NATS are primarily classified as "Cloud Hosting" and "Realtime Backend / API" tools respectively.

"Backed by google" is the top reason why over 86 developers like Google Compute Engine, while over 13 developers mention "Fastest pub-sub system out there" as the leading cause for choosing NATS.

According to the StackShare community, Google Compute Engine has a broader approval, being mentioned in 594 company stacks & 429 developers stacks; compared to NATS, which is listed in 26 company stacks and 12 developer stacks.

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Advice on Google Compute Engine, NATS

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

Google Compute Engine
Google Compute Engine
NATS
NATS

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.

Unlike traditional enterprise messaging systems, NATS has an always-on dial tone that does whatever it takes to remain available. This forms a great base for building modern, reliable, and scalable cloud and distributed systems.

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
12.4K
Stacks
394
Followers
9.2K
Followers
498
Votes
423
Votes
60
Pros & Cons
Pros
  • 87
    Backed by google
  • 79
    Easy to scale
  • 75
    High-performance virtual machines
  • 57
    Performance
  • 52
    Fast and easy provisioning
Pros
  • 22
    Fastest pub-sub system out there
  • 16
    Rock solid
  • 12
    Easy to grasp
  • 4
    Easy, Fast, Secure
  • 4
    Light-weight
Cons
  • 2
    Persistence with Jetstream supported
  • 1
    No Persistence
  • 1
    No Order
Integrations
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
No integrations available

What are some alternatives to Google Compute Engine, NATS?

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.

Firebase

Firebase

Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

Socket.IO

Socket.IO

It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.

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.

PubNub

PubNub

PubNub makes it easy for you to add real-time capabilities to your apps, without worrying about the infrastructure. Build apps that allow your users to engage in real-time across mobile, browser, desktop and server.

Pusher

Pusher

Pusher is the category leader in delightful APIs for app developers building communication and collaboration features.

Scaleway

Scaleway

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

SignalR

SignalR

SignalR allows bi-directional communication between server and client. Servers can now push content to connected clients instantly as it becomes available. SignalR supports Web Sockets, and falls back to other compatible techniques for older browsers. SignalR includes APIs for connection management (for instance, connect and disconnect events), grouping connections, and authorization.

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