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Google Compute Engine vs Joyent Cloud: 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 Joyent Cloud? Cloud Infrastructure for Real-time Web and Mobile Applications. Joyent is the high-performance cloud infrastructure company, offering the only solution specifically built to power real-time web and mobile applications.
Google Compute Engine and Joyent Cloud belong to "Cloud Hosting" category of the tech stack.
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, Joyent Cloud provides the following key features:
- Joyent offers exclusive debugging and performance analysis tools for Node.js applications.
- High-performance machines- Joyent Cloud uses fresh Nehalem/Westmere processors and 15k RPM HDs in our data centers. I/O throttling ensures that “noisy neighbors” won’t cause your application to perform poorly.
- Dynamic CPU scaling- Dynamic, real-time CPU scaling. Vertical bursting CPU capacity without user intervention or additional fees.
"Backed by google" is the top reason why over 86 developers like Google Compute Engine, while over 3 developers mention "High-performance" as the leading cause for choosing Joyent Cloud.
9GAG, Snapchat, and CircleCI are some of the popular companies that use Google Compute Engine, whereas Joyent Cloud is used by Roundscope Ukraine Labs, Nodejitsu, and Nodefly. Google Compute Engine has a broader approval, being mentioned in 592 company stacks & 427 developers stacks; compared to Joyent Cloud, which is listed in 4 company stacks and 5 developer stacks.
Albeit restricted to only a few places worlwide compared to its peers in the cloud segment, I am yet to find another provider capable of delivering a score over 5000 (Geekbench) in a benchmark on a single CPU machine, and each machine costs $6 a month. For homelab and experienced users who don't need DBaaS or IaaC's, it's a pretty straightforward choice. A more comprehensive review of Vultr's HF machines can be found here.
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.
Pros of Google Compute Engine
- Backed by google87
- Easy to scale79
- High-performance virtual machines75
- Performance57
- Fast and easy provisioning52
- Load balancing15
- Compliance and security12
- Kubernetes9
- GitHub Integration8
- Consistency7
- Free $300 credit (12 months)4
- One Click Setup Options3
- Good documentation3
- Great integration and product support2
- Escort2
- Ease of Use and GitHub support2
- Nice UI1
- Easy Snapshot and Backup feature1
- Integration with mobile notification services1
- Low cost1
- Support many OS1
- Very Reliable1
Pros of Joyent Cloud
- Secure Zones and Data Centers4
- High-performance4
- Performance analysis tools3
- Dynamic CPU scaling2
- Self-service provisioning2
- Real-time analytics1
- Real-time visualization1
- Big data servers1