Google Compute Engine vs. Heroku Platform

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
Heroku Platform
Score 9.2 out of 10
N/A
The Heroku Platform, now from Salesforce, is a platform-as-a-service based on a managed container system, with integrated data services and ecosystem for deploying modern apps. It takes an app-centric approach for software delivery, integrated with developer tools and workflows. It’s three main tool are: Heroku Developer Experience (DX), Heroku Operational Experience (OpEx), and Heroku Runtime. Heroku Developer Experience (DX) Developers deploy directly from tools like…
$25
per month
Pricing
Google Compute EngineHeroku Platform
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
Production
$25.00
per month
Advanced
$250.00
per month
Offerings
Pricing Offerings
Google Compute EngineHeroku Platform
Free Trial
YesNo
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 EngineHeroku Platform
Features
Google Compute EngineHeroku Platform
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
Heroku Platform
-
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
Heroku Platform
8.1
Ratings
1% above category average
Ease of building user interfaces00 Ratings7.60 Ratings
Scalability00 Ratings8.30 Ratings
Platform management overhead00 Ratings7.60 Ratings
Workflow engine capability00 Ratings8.40 Ratings
Platform access control00 Ratings7.10 Ratings
Services-enabled integration00 Ratings8.10 Ratings
Development environment creation00 Ratings8.70 Ratings
Development environment replication00 Ratings8.70 Ratings
Issue monitoring and notification00 Ratings8.20 Ratings
Issue recovery00 Ratings8.40 Ratings
Upgrades and platform fixes00 Ratings8.40 Ratings
Best Alternatives
Google Compute EngineHeroku Platform
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
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User Ratings
Google Compute EngineHeroku Platform
Likelihood to Recommend
7.6
(0 ratings)
7.0
(0 ratings)
Likelihood to Renew
9.0
(0 ratings)
9.5
(0 ratings)
Usability
9.0
(0 ratings)
9.2
(0 ratings)
Availability
8.6
(0 ratings)
8.0
(0 ratings)
Performance
8.4
(0 ratings)
9.0
(0 ratings)
Support Rating
10.0
(0 ratings)
8.7
(0 ratings)
Online Training
-
(0 ratings)
6.0
(0 ratings)
Implementation Rating
-
(0 ratings)
9.0
(0 ratings)
User Testimonials
Google Compute EngineHeroku Platform
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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Heroku is very well-suited to early stage and/or rapidly changing projects. It is great for getting moving quickly or changing direction quickly. In scenarios where there is already scale or well-defined requirements, it may be preferable to set things up directly on AWS or another cloud provider to avoid the additional costs of Heroku as the middleman.
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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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  • Amazingly clear and straightforward documentation (versus the quagmire of AWS docs).
  • Deploy your entire site in one command.
  • Setting up asynchronous job processing for long running operations (e.g. sending emails, making external API calls).
  • A wonderful portfolio of tightly-integrated add-ons in their marketplace.
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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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  • Could be less expensive, although you get what you pay for
  • Sleeping apps can be an annoyance: Heroku automatically puts your apps in sleep mode and they have to spin back up after periods of inactivity. Much of this can be solved but it requires working around the built-in functionality. I understand why they do it but it's an area that could be improved.
  • Restrictions to server access means you can't customize as much as you could if you owned the server. But again, this is also a benefit because it's about convention over configuration. So you can't configure as much, but then, you typically don't have to.
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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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Heroku is a critical and core part of our infrastructure that is serving our customers well. We are very satisfied with the cost of our solution. While it would be difficult to move away from Heroku, we have no plans to do so. We have had no major issues with it and it is a pleasure to use. Other products on the market might offer comparable functionality, but until we expose a need that Heroku cannot satisfy, we'll stay the course.
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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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If you have basic backend and Git knowledge, deploying to Heroku is a breeze. It now supports many types of backends, including hybrid backends (ex: nginx + application server) through its build pack system. The dashboard is easy to use, and the CLI tools are well designed. Accessing the add-ons is also easy. It uses an SSO-type system so you don't have to re-sign in to view the add-on dashboards.
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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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Heroku availability correlates pretty strongly to AWS US EAST availability. We had a couple of times where there was a Heroku-specific issue but not for the last 7-8 months.
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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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The only issue that I ever have is that about 1 out of 20 deployments (git push) will hang and need to be cancelled and done again.
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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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I've used it for many years without facing any major problem. It's not hard at all to get used to it, it's documentation is outstanding and simple. We are close to 2020 and I don't think most of the existing companies or startups should still face old problems such as wasting time deploying code and calculate computing resources.
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Implementation Rating
No answers on this topic
Be ready to pay a bit more than expected in the beginning if you're migrating from a big server. The application is probably not ready for the change and you have to keep improving it with time.
It's also important to consider that you can't save anything to the disc as it will be lost when your application restarts, so you have to think about using something like S3.
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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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Heroku has advantages over Docker, Google App Engine and AWS products, but it depends largely on your use case. If you are already in AWS, it's probably in your best interest to stay with AWS products. However, other "Cloud Formation/Orchestration" products like Docker are typically lacking the ease-of-use factor that allows you to get up and running with Heroku quickly.
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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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  • It has been critical in seamlessly operating our platform with runs all of our programs.
  • It has been impressive with its ability to scale quickly which results in the growth of our work.
  • It allows for tracking of different features which allows for quick problem solving which saves us time.
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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.