Google Compute Engine vs. Platform.sh

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Platform.sh
Score 8.1 out of 10
N/A
Platform.sh helps companies of all sizes, from SaaS entrepreneurs looking to build, run, and scale their websites and web applications.N/A
Pricing
Google Compute EnginePlatform.sh
Editions & Modules
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
No answers on this topic
Offerings
Pricing Offerings
Google Compute EnginePlatform.sh
Free Trial
YesYes
Free/Freemium Version
YesNo
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
Google Compute EnginePlatform.sh
Features
Google Compute EnginePlatform.sh
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Google Compute Engine
7.3
Ratings
10% below category average
Platform.sh
-
Ratings
Service-level Agreement (SLA) uptime8.10 Ratings00 Ratings
Dynamic scaling8.30 Ratings00 Ratings
Elastic load balancing8.00 Ratings00 Ratings
Pre-configured templates7.50 Ratings00 Ratings
Monitoring tools3.00 Ratings00 Ratings
Pre-defined machine images7.30 Ratings00 Ratings
Operating system support7.90 Ratings00 Ratings
Security controls7.90 Ratings00 Ratings
Automation7.90 Ratings00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Google Compute Engine
-
Ratings
Platform.sh
9.3
Ratings
15% above category average
Scalability00 Ratings9.00 Ratings
Services-enabled integration00 Ratings9.00 Ratings
Development environment creation00 Ratings10.00 Ratings
Development environment replication00 Ratings10.00 Ratings
Issue monitoring and notification00 Ratings9.00 Ratings
Upgrades and platform fixes00 Ratings9.00 Ratings
Best Alternatives
Google Compute EnginePlatform.sh
Small Businesses
DigitalOcean Droplets
DigitalOcean Droplets
Score 8.7 out of 10
AWS Lambda
AWS Lambda
Score 8.6 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Compute EnginePlatform.sh
Likelihood to Recommend
7.6
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
9.0
(0 ratings)
-
(0 ratings)
Usability
9.0
(0 ratings)
-
(0 ratings)
Availability
8.6
(0 ratings)
-
(0 ratings)
Performance
8.4
(0 ratings)
-
(0 ratings)
Support Rating
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
Google Compute EnginePlatform.sh
Likelihood to Recommend
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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In our organisation we are the only team that uses Platform.sh to host any site. This was a cost effective way for us as we were using Acquia Cloud earlier for these websites. We mostly use Platform.sh for those sites which are always in development as it is simpler and faster to handle these operations in Platform.sh. Then we do a lift and shift to Acquia as we move more towards the go live and post production maintenance side.
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Pros
  • 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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  • As this is a PaaS it mitigates the complexities of a Cloud infrastructure like Acquia
  • We are easily able to integrate our sites with different technologies like Python and Rest
  • Helps us in providing Continuous Development cloud deployment hosting solution
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Cons
  • 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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  • Platform.sh is not for beginners in my opinion. It has a good amount of learning curve in my opinion.
  • As this is a PaaS, teams habituated with cloud infrastructure may miss the server side support from their cloud teams. I believe you will have to work on server bugs more on your own.
  • During normal maintenance periods, integrations may fail if you are working on your sites in that time, in my experience.
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Likelihood to Renew
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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No answers on this topic
Usability
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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No answers on this topic
Reliability and Availability
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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No answers on this topic
Performance
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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No answers on this topic
Support Rating
  • 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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No answers on this topic
Alternatives Considered
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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In our team we use Platform.sh mostly while sites are in developmental phase. Then we do a lift and shift to either Acquia or AWS depending on the type of sites we have. Platform.sh is really cost effective and more fluid in terms of Continuous Development hence the usage. After said development is done, we generally lift and shift to Acquia for more content heavy sites and to AWS for more transaction oriented sites.
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Scalability
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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No answers on this topic
Return on Investment
  • 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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  • Continuous development for sites in build has been fluid
  • Platform.sh is really cost effective when comparing to AWS or Acquia Cloud
  • On the other side, lack of server side support demands a big learning curve from its users in my opinion.
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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.

Platform.sh Screenshots

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