DigitalOcean vs. Google Compute Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DigitalOcean
Score 8.8 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 8.3 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.
$0.01
Hour
Pricing
DigitalOceanGoogle Compute Engine
Editions & Modules
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
DigitalOceanGoogle Compute Engine
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsPrices 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.
More Pricing Information
Community Pulse
DigitalOceanGoogle Compute Engine
Features
DigitalOceanGoogle Compute Engine
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
DigitalOcean
8.3
Ratings
3% above category average
Google Compute Engine
7.3
Ratings
10% below category average
Service-level Agreement (SLA) uptime9.20 Ratings8.10 Ratings
Dynamic scaling9.00 Ratings8.30 Ratings
Elastic load balancing7.00 Ratings8.00 Ratings
Pre-configured templates10.00 Ratings7.40 Ratings
Monitoring tools10.00 Ratings3.00 Ratings
Pre-defined machine images7.60 Ratings7.30 Ratings
Operating system support8.40 Ratings7.90 Ratings
Security controls9.00 Ratings7.90 Ratings
Automation5.00 Ratings7.90 Ratings
Best Alternatives
DigitalOceanGoogle Compute Engine
Small Businesses
DigitalOcean Droplets
DigitalOcean Droplets
Score 8.7 out of 10
DigitalOcean Droplets
DigitalOcean Droplets
Score 8.7 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
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User Ratings
DigitalOceanGoogle Compute Engine
Likelihood to Recommend
8.2
(0 ratings)
7.6
(0 ratings)
Likelihood to Renew
9.0
(0 ratings)
9.0
(0 ratings)
Usability
8.0
(0 ratings)
9.0
(0 ratings)
Availability
10.0
(0 ratings)
8.6
(0 ratings)
Performance
9.0
(0 ratings)
8.4
(0 ratings)
Support Rating
8.8
(0 ratings)
10.0
(0 ratings)
Product Scalability
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
DigitalOceanGoogle Compute Engine
Likelihood to Recommend
DigitalOcean is a powerful tool with respect to the services and pricing that it offers. It is easier than other products and also provides servers that are inexpensive with great performance. DigitalOcean also offers additional add-ons such as additional IP addresses, scheduling of backups, etc. One of the best advantages is that it is efficient and is open source. Although, it is suited for a firm that is looking to cut down cost. Also, it is not suited for an organization where the dev/platform/DBA team is less experienced.
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It is excellent if you have any workloads that need raw computing or plan to have any state-full services running in your environment like DBs (for which you don't want to use Managed services), cache, etc. It also gives you complete control over which versions of software, OS, etc., you need, and thus, you can build anything and deploy it on GCE.
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Pros
  • Ease of use - You can get set up with a new server in a matter of minutes. It doesn't get any easier than that.
  • Support - The public forums are incredibly helpful as are the official help articles. I've never needed to contact the support team because of this. All of the information is at my fingertips.
  • Pricing - We're only paying $10/mo for a solution that gives our customers more confidence in us and is a selling point for us.
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  • A simple web-based interface that is a breeze to train new engineers to use. Our experienced engineers never have trouble finding or doing anything on GCE.
  • Sustained use and Committed use discounts mean we get top-tier VMs for an incredibly competitive price.
  • Wonderful identity and access management that gives us peace-of-mind when granting access to machines to contractors and other 3rd parties.
  • Fast VMs, lastest in hardware, and enough RAM to power even the hungriest of our services.
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Cons
  • 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.
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  • The L7 load balancer can be difficult to get set up. It's limited in its functionality, especially with the container engine.
  • It's hard to find certain objects on the web console. Often times the things I need to get to are buried in advanced menus.
  • Google's decision to only support MySQL on their relational DB service means that I have to manage Postgres instances in Compute on my own, managing everything from storage to backups.
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Likelihood to Renew
I've been very happy with it for my purposes and I plan to continue to use DigitalOcean for the foreseeable future!
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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.
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Usability
With DigitalOcean it is very easy to start up a server/droplet. They have several templates and server images to select from, and they have good instructions on how to get a server set up and started. The monitoring tools in the dashboard look good and are easy to understand.
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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.
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Reliability and Availability
Have not found a single second of down time myself. Superior availability.
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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
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Performance
Very quick response and high performance, you have to fine tune configurations on your machines though.
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The raw computer power is excellent; our applications feel snappy, pages load almos instantly for our customers and so on. The primary reason it is not a perfect 10 is that the native tools for monitoring individual VM performance can be complex, making it challenging to easily diagnose specific resource bottlenecks without significant configuration
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Support Rating
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.
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  • 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.
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Alternatives Considered
I chose DigitalOcean over Oracle Cloud because it's simpler, more cost-effective, and quicker to deploy. DigitalOcean’s intuitive interface allows me to manage servers easily, while Oracle Cloud is more complex and suited for larger enterprises. Also, DigitalOcean’s transparent pricing helps control costs, unlike Oracle’s more intricate and complex pricing model.
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When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an in-browser option; instead, it is Azure Bastion, but for that, you have to enable a dedicated subnet, which is a bit unnecessary.
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Scalability
Great scalability, you can start with small plans and move up to premium features at a very good price.
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It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.
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Return on Investment
  • DigitalOcean has very competitive egress pricing, which has been positive for reducing our costs when running services with a large amounts of data transfer
  • DigitalOcean templates have helped us quickly launch services that would otherwise require a lot of configuration (saving time)
  • We haven't had much in the way of negative ROI impacts using DigitalOcean as we don't use it extensively for our core product, but based on personal project experience it can require more engineering time to get up and running with than some other infrastructure services like Heroku. This has been one of the greatest barriers in pushing its adoption in our organization.
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  • Scalability means flexibility and less upfront costs
  • Can become expensive when hard set compute requirements are clear, but things like Spot VMs can help here too, or just having your own infrastructure and scaling up with Google. This is for more advanced cases though
  • Ramp up time is long, but after that it is quick to do many things and ROI is awesome
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ScreenShots

Google Compute Engine Screenshots

Screenshot of How to choose the right VM
With thousands of applications, each with different requirements, which VM is right for you?Screenshot of documentation, guides, and reference architectures
Migration Center is Google Cloud's unified migration platform with features like cloud spend estimation, asset discovery, and a variety of tooling for different migration scenarios.