The Amazon Elastic File System (EFS) provides a simple, scalable, elastic file system for Linux-based workloads for use with AWS Cloud services and on-premises resources.
$0.04
per GB
DigitalOcean
Score 8.5 out of 10
N/A
DigitalOcean is an infrastructure-as-a-service (IaaS) platform from the company of the same name headquartered in New York. It is known for its support of managed Kubernetes clusters and “droplets” feature.
$5
Starting Price Per Month
Google Compute Engine
Score 8.8 out of 10
N/A
Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.
$0
per month GB
Pricing
Amazon Elastic File System (EFS)
DigitalOcean
Google Compute Engine
Editions & Modules
US East & West Region
$0.043
per month per GB (One zone)
Europe (Ireland) Region
$0.046
per month per GB (One zone)
Asia Pacific & Canada Region
$0.047
per month per GB (One zone)
Africa (Cape Town) Region
$0.054
per month per GB (One zone)
AWS GovCloud (US-East)
$0.056
per month per GB (One zone)
US East & West Region
$0.08
per month per GB (Standard)
Asia Pacific & Canada Region
$0.09
per month per GB (Standard)
Europe (Ireland) Region
$0.09
per month per GB (Standard)
Africa (Cape Town) Region
$0.10
per month per GB (Standard)
AWS GovCloud (US-East)
$0.11
per month per GB (Standard)
1GB-16GB
$5.00
Starting Price Per Month
8GB-160GB
$60.00
Starting Price Per Month
Preemptible Price - Predefined Memory
0.000892 / GB
Hour
Three-year commitment price - Predefined Memory
$0.001907 / GB
Hour
One-year commitment price - Predefined Memory
$0.002669 / GB
Hour
On-demand price - Predefined Memory
$0.004237 / GB
Hour
Preemptible Price - Predefined vCPUs
0.006655 / vCPU
Hour
Three-year commitment price - Predefined vCPUS
$0.014225 / CPU
Hour
One-year commitment price - Predefined vCPUS
$0.019915 / vCPU
Hour
On-demand price - Predefined vCPUS
$0.031611 / vCPU
Hour
Offerings
Pricing Offerings
Amazon Elastic File System (EFS)
DigitalOcean
Google Compute Engine
Free Trial
Yes
No
Yes
Free/Freemium Version
No
No
Yes
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
There is no minimum fee or setup charge. You pay only for the storage you use, for read and write access to data stored in Infrequent Access storage classes, and for any provisioned throughput. Amazon EFS offers four storage classes: two standard storage classes, including Amazon EFS Standard and Amazon EFS Standard-Infrequent Access (EFS Standard-IA), and two One Zone storage classes, including Amazon EFS One Zone and Amazon EFS One Zone-Infrequent Access
—
Prices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.
DigitalOcean is an easier and cheaper way to [set up] new machines. The UX is really good and it's easy to find what you need. Competition offer[s] a complicated way to manage machines and the cost is sometimes more than [...] double of what DigitalOcean offer[s]. However[,] …
Amazon has a very complex UI and many products to offer. They haven't polished up their UI and it has a much greater learning curve compared to DigitalOcean. However, Amazon Web Services (AWS) does have more comprehensive cloud computing services, which forces some companies to …
GCE was an easy choice for us after evaluating our options. We needed something that was dynamic enough to handle our specialized stack, but easy enough that our engineers weren't spending too much time configuring and launching. We found AWS's offering to be similar but …
We have tried using DigitalOcean Droplets for some of our minor and non critical VMs. In our experience, Google Compute Engine fares well in comparison the DigitalOcean Droplets as they provide better availability, better support and in general, a better experience.
The Google Cloud computing engine is fair at the top because it bills customers, automatic discounting for extended use, and how fast it can be turned on. We enjoy things around setting it up very easily via APIs and CLI commands, and with the always-on recommendations from …
Google Compute Engine is the leader in infrastructure-as-a-service and moving up the stack to
everything from the Internet of Things to artificial intelligence. The price is very good. The support is excellent. User-friendly and very customizable solution. Fit great with our …
Pricing scale is good. Google Cloud Compute provides additional facilities free of cost (limited storage). Received one year free credits to get started. Nearest regions are available. Others amenities including free repository service available. UI is modern and fast to load. …
We ultimately chose Google Compute for the price difference as compared to other providers. Google's pricing for Windows servers is even lower than Microsoft's own cloud service, Azure. The terminology used across Google Compute is much easier to understand than the …
While the idea is to utilize it enterprise wide; it sometimes doesn't work well in smaller applications and that causes slowdowns and impacts productivity. Also when evaluating EFS versus EBS - one needs to look at cost as EFS is a lot more expensive to implement and run so you need to weigh cost benefits of both systems and choose the best for you.
DigitalOcean is perfect for hosting client websites, running marketing tools, and managing media storage with Spaces and CDN. The use of Droplets to quickly launch landing pages or WordPress sites for campaigns is a Godsend. It’s great for fast, cheap, and scalable solutions. But for complex microservices or projects needing strict compliance (like HIPAA), DigitalOcean may not always be the best fit, but that depends heavily on your project.
You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.
Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs
Some products/services available on other Cloud providers aren't available, but they seem to be catching up as they add new products like Managed SQL DBs.
While they have FreeBSD droplets (VMs), support for *BSD OSs is limited. I.e. the new monitoring agent only works on Linux.
There are no regions available on South America.
They don't seem to offer enterprise-level products, even basic ones as Windows Server, MS SQL Server, Oracle products, etc.
Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.
I honestly can't think of an easier way to set up and maintain your own server. Being able to set up a server in minutes and have fully control is awesome. The UX is incredibly intuitive for first-time users as well so there's no reason to be intimidated when it comes to giving DigitalOcean a shot.
Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes
It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.
The documentation is sufficient for setting up and it is basic NFS for mounting so not much support is required. I have not had any issues to warrant a request with AWS support.
They have always been fast, and the process has been straight-forward. I haven't had to use it enough to be frustrated with it, to be honest, and when I have an issue they fix it. As with all support, I wish it felt more human, but they are doing aces.
The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
Google support was great and their presence on site was very helpful in dealing with various issues.
DigitalOcean is an inexpensive product as compared to other products available in the market. The UI is easy and the beginner can also understand the UI with the step by step guide. It provides a lot of custom features and the user needs to pay only for what they are using. Amazon has a complex UI and is on the expensive side. DigitalOcean is simple to use and is easily manageable and the servers can easily be set up without additional cost and such.
Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.
Cost is always a paramount issue when looking at ROI
It is fast and if that's what you need for your implementation - you probably will not find a better solution
Expertise in EFS is sometimes hard to come by so it's best to look at your employee's ability to grasp this technology. Otherwise, it's a pretty steep learning curve.
Positive - Elastic computer instances make it possible to pay for only for what you need.
Positive - Competitive pricing - some of the products that DigitalOcean offers are much cheaper than those offered by competitors.
Negative - Having to go to other cloud computing platforms for more specific, advanced services like Computer Vision optimized services, GPU cloud compute instances, etc...