DigitalOcean vs. Google Compute Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DigitalOcean
Score 8.9 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
Considered Both Products
DigitalOcean
Chose DigitalOcean
The target segment of DigitalOcean is application developers and small teams working in startups for easily configuring and deploying infrastructure in the cloud. We selected DigitalOcean for some of our usecases as it is cost effective and easy to integrate with compared to …
Chose DigitalOcean
Simple, and quick setup, competitive pricing as well as geographically you can choose the location of the datacenter. The setup of the machine with RAM / CPU and SDD gives all options, it is just what we always needed and find our self very well with such type of service by …
Chose DigitalOcean
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 …
Chose DigitalOcean
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. …
Chose DigitalOcean
DigitalOcean is really one of the cheapest options out there for dedicated servers. Plus, their pay-per-use pricing helps companies to grow at their own pace without having to pay for a higher performance or service they don't need initially. Their platform is well built and …
Chose DigitalOcean
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[,] …
Chose DigitalOcean
As I have said, DigitalOcean was slightly more expensive than something like HostGator, but the amount of customization and quality of service make it worth any difference. AWS was always a pain to set up and use, but DigitalOcean makes it cake.
Chose DigitalOcean
DigitalOcean is not quite as simple as Heroku to get up and running, but it provides a better price point and more configurability. However, in my opinion it's much simpler to get up and running with than AWS Opsworks and even Google App Engine. It also provides a better price …
Chose DigitalOcean
Amazon Elastic Compute Cloud (EC2), Heroku Platform and Google Compute Engine
Chose DigitalOcean
Digital Ocean is easier to start with and was a great choice for that project. On other projects, I may choose Google Cloud products because of their more complex product offerings and advanced features.
Products like Storage or Pub/Sub isn't available on Digital Ocean and the …
Chose DigitalOcean
DigitalOcean can be seen more like a Rackspace or a similar provider. They aren't offering more extended services such as AWS Redshift of something on a larger scale. They are great for just vanilla virtualization and maintaining uptime for those resources across a large set of …
Chose DigitalOcean
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 …
Chose DigitalOcean
Initially we started using DigitalOcean due to their pricing point as we were in development phase. Slowly when we used it, we starting liking it a lot as it is very fast & easy to get started, compared to the other Cloud Providers we've used. Also they have blogs and …
Chose DigitalOcean
Site5's customer service and support have declined over the recent years. The last couple of tickets that I submitted in 2016 were never addressed by their help team. The only customer service agent seems to be on their Twitter account. Site5 does not allow any configuration of …
Chose DigitalOcean
Vultr is a new player in the game. They don't advertise their hardware model and for that reason, people may not trust them. I have run few benchmarks on Vultr, they performed slightly better than DigitalOcean but they aren't trustworthy. Their transparency index is very low …
Chose DigitalOcean
Compared service to service, Digitalocean comes out on top usually, for smaller better spec servers. This is what they do, and specialty shops are always the best route, with no exception here. However, if you need more than a server, or are not comfortable doing more than …
Chose DigitalOcean
Cheaper than Heroku which is prohibitively expensive for a small self-funded startup. We quickly outgrew their free tier and migrated to DigitalOcean. AWS is more feature complete however, we found its maintenance overly confusing and not as well thought out. For many use cases …
Chose DigitalOcean
DigitalOcean has a much lower price point for VPS - but they are not fully managed as with other services. DigitalOcean VPSs are good for quick simple applications that we are comfortable and efficient at deploying ourselves. We do not generally recommend them for clients, as …
Chose DigitalOcean
DigitalOcean isn't nearly as robust as Google Cloud. DigitalOcean provides VPSs, as does Google Cloud. However, Google Cloud offers many other products as well.

ChunkHost is very similar to DigitalOcean, but doesn't have the infrastructure that DigitalOcean has. Geographical …
Chose DigitalOcean
AWS: Too complex to set things up. Period.
Mediatemple: Great features, services and customer service. Prices are a bit high for what they offer.
Linode: Outstanding features and customer support. Difficult to start with for novice users.
Chose DigitalOcean
My cost savings were significant and I felt like I was much more in control of the hardware and processes. I also had issues with certain marketing decisions my former hosting company made, DigitalOcean was an easy choice!
Chose DigitalOcean
DigitalOcean's dead simple pricing and solid but basic feature set combine for a no-nonsense way to get your product shipped. Its API makes it nicely scriptable/automate-able compared to traditional shared hosting providers like Dreamhost. I think it compares most closely with …
Chose DigitalOcean
Linode was my long time go-to and we still have several sites hosted and maintained on their servers. Initially, I was skeptical of DigitalOcean's pricing, but they've proven to be an excellent alternative. Linode is more mature in their toolset, but both are really great …
Google Compute Engine
Chose Google Compute Engine
Cloud providers offering virtual machines are quite common. I think, Google, however, is arguably one of the top players in the market, with some of the largest (if not the largest) and most advanced server farms in the world. If you're looking for reliability and cost …
Chose Google Compute Engine
Google Cloud SQL, Google Cloud Storage, Google Cloud Virtual Private Cloud (VPC) and Google Cloud Deployment Manager
Chose Google Compute Engine
The perfect blend of setup flexibility, costing and trust of Google could be my answer to the comparison. This being a server backed service so, ruling out the functions. The Setup flexibility and speed set the GCE apart from Kubernetes. Compliance, regulation and the security …
Chose Google Compute Engine
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.
Chose Google Compute Engine
As far as user-friendliness is concerned, I personally rank Google Cloud above both AWS and Azure. Their user interface makes it easy to manage, which is important.
Chose Google Compute Engine
I find Google Compute Engine to be much easier to use than Amazon's EC2 service. The console makes much more sense, permission management is much cleaner, and I'd say the other categories feel on par with EC2: performance, how fine-grained the settings are, connecting to …
Chose Google Compute Engine
The obvious and natural alternatives to GCE are AWS EC2 and Azure VMs. I would say all three are more similar than not. Picking one will most likely depend on what platform you're on already, where your running services are, and which one is more familiar to your team.
Chose Google Compute Engine
Comparabale to AWS EC2. We selected GCE because of the out-of-the-box K8 engine setup. On AWS, I find it a bit tedious.
Chose Google Compute Engine
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 …
Chose Google Compute Engine
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 …
Chose Google Compute Engine
I have utilised Google Compute Engine in addition to Amazon EC2. Both exhibit excellent performance in terms of consumption, speed, and efficiency.My decision to adopt Google Compute Engine was solely based on how user-friendly it is. more basic UI/UX than EC2.Google's customer …
Chose Google Compute Engine
Google Compute Engine is a different animal than GKE, used for different purposes. Compares 1:1 with ECS, and is an equivalent product.
Chose Google Compute Engine
Ec2 has much more compatibility with different tech stacks than Google Compute Engine.
Chose Google Compute Engine
The price difference is not very high between them. Both of them provide good services.
Chose Google Compute Engine
Amazon Elastic Compute Cloud (EC2), Amazon Elastic Kubernetes Service (EKS), Azure VMware Solution and Azure Kubernetes Service (AKS)
Chose Google Compute Engine
Google Compute Engine provides on-demand computing resources that are easy to scale up or down according to my organization needs. This allows our business to quickly adapt to changes in demand without having to invest in additional hardware. It also offers a very competitive …
Chose Google Compute Engine
While Amazon EC2 is the best tool for developers to build an app and make it live, It has some downsides too. EC2 requires so much development while Google Compute Engine makes it easy to build an app within a days. EC2 pricing also relatively high compare to Google Compute …
Chose Google Compute Engine
GCE is available in 3 different regions whereas Ec2 is available in 11 different regions. The compute resources offered by the GCE has lower maximum capacity compared to AWS Ec2. The pricing model of GCE offers first 10 mins free and then charging in increments of 10 mins.
Both …
Chose Google Compute Engine
I prefer the Compute Engine Over these as it provides us with Better Scalability, Performance, and Reliability Security-related Issues don't arise with the Compute Engine, but yes, in terms of accessing or running, it can be improved a bit as compared to EC2 offered by AWS.
Chose Google Compute Engine
the main reason of choosing GCE is availability and user friendly UI with a very good documentation and API explanations. Great visibility over the infra and security.
Chose Google Compute Engine
The features specific to Google Compute Engine vs Amazon EC2 along with cost and availability are comparable, there may be other services within the vendor which may mean that one is more suitable for specific applications than the other one. We have used both for different …
Chose Google Compute Engine
Google was easy to start with in terms of ease of use and support access.
Chose Google Compute Engine
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 …
Chose Google Compute Engine
AWS has become the de facto standard. Skills in Google Compute Engine and AWS are not easily transferable. Still, after getting to know Google Compute Engine well, productivity can be very high and ROI impressive. There are many additional services offered around Google Compute …
Chose Google Compute Engine
We decided to use GCE mainly for its price and good looking UI.
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 Ratings7.50 Ratings
Monitoring tools10.00 Ratings3.00 Ratings
Pre-defined machine images7.50 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
All AlternativesView all alternativesView all alternatives
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.
Read full review
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!
Read full review
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.
Read full review
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.