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Google App Engine vs Google Compute Engine comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Google App Engine
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
23
Ranking in other categories
PaaS Clouds (15th)
Google Compute Engine
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
16
Ranking in other categories
Infrastructure as a Service Clouds (IaaS) (10th)
 

Mindshare comparison

While both are Cloud Services solutions, they serve different purposes. Google App Engine is designed for PaaS Clouds and holds a mindshare of 2.3%, up 2.1% compared to last year.
Google Compute Engine, on the other hand, focuses on Infrastructure as a Service Clouds (IaaS), holds 0.5% mindshare, up 0.2% since last year.
PaaS Clouds
Infrastructure as a Service Clouds (IaaS)
 

Featured Reviews

OmkarPatil - PeerSpot reviewer
Simplifies app development process for businesses
The product simplifies app development processes since once the local development is completed, my company has a common configuration in place where we can specify the requirements to run an application, after which we need to do a one-click GCP deployment for the entire application. In general, the two offer managed deployment options, so we don't have to worry about deployment. In my company, we just configure the servers and check if anything needs to be containerized, after which GCP handles everything for us. A project where Google App Engine scalability was essential was when, recently, my company was involved with Golang to build a web application, after which deploying that application on Google App Engine was really easy. In my company, we also had a Django application in Python, and it was easy to deploy. As my company deals with small-scale projects, the automated scaling feature of Google App Engine is not something we thought about. I wouldn't recommend the product to others unless the potential end users use GCP and have a word with their vendors about their plans. One specific recommendation from me would be that the product's potential uses should stick with a particular vendor. If someone wants a product that is easy to deploy and scalable, then multiple options are available in the market. The product integrates very well with other Google solutions. I rate the overall solution a ten out of ten.
Arundeep Veerabhadraiah - PeerSpot reviewer
A highly scalable and seamless platform which is easily automated
One of GCE's best features is the managed instance groups. We typically use managed instance groups for high availability. You can set certain parameters for managed instance groups where if the load of the computer or server increases beyond 80%, for example, the solution will automatically spawn another instance, and the load will be automatically divided between two systems. If the load is 80% of one of the VMs or GCEs, once the load is divided, it comes down to 40%, so the availability of your systems goes up. However, that all depends on the parameters or configurations we put on the instance group. You also have regular health checks on these managed instance groups, which are configurable. If these health checks determine something wrong with the VM, they will automatically kick off or spawn a new GCE instance. This way, the outage time is less. Previously, on-premises, unless somebody reported the issue to the helpdesk saying that a particular service was unavailable, then a support team would need to troubleshoot what went wrong, which takes a long time. At least 30 minutes to one hour. But by using these managed instance groups, we can reduce the outage time, and second, we can configure them with minimal resources, bringing down our cost. And if the load increases, the managed instance groups automatically respond to new things. Subsequently, our costs decrease. We have a wide range of VMs. There are general-purpose VMs that can be used for hosting general-purpose applications. If some of our applications are memory intensive, then we have a lot of VMs in the M1 series. We can use a range of memory-optimized VMs for these things. We have C-series VMs for compute-intensive applications. If we use some mathematical formulas and require a very high throughput from that, there are GPU-optimized VMs used for machine learning or 3D visualizations in rendering software. GPU-enabled VMs are pretty powerful and responsive. Again, the best part is that we can spin them up when we need them, and once we're done with our work, we can shut them down, allowing tremendous cost savings for any customer. Previously, if we wanted a very high-configuration VM, we had to own the entire hardware and have it on our on-prem data center. And once we'd done with a particular activity, the system would just be lying there on our premises. That is not the case now. We use and decommission it, so we're only billed for the time we're using the product. One of the best things is the preemptible VMs or Spot VMs. These are the cheapest VMs in Google Cloud, but it has a string attached to it where Google can shut down these VMs whenever Google teams split. You only get about 90 seconds notice before they shut down this particular VM. There are scenarios where customers can use these preemptible VMs, for example, when running a batch job. Batch jobs are run once or twice daily, depending on the customer's requirement. Once we are done running these batches, we can decommission the VM. Even if, in the middle of this batch job, Google shuts down these VMs, we can pick up the processing from wherever the VM left off. These are some of the beautiful things we have on Google Cloud concerning the Compute Engine.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Google App Engine's most valuable feature is self-management. You do not have to manage the infrastructure underneath where all the functions are happening, such as load balancing deployment and version management, they are managed by the system itself."
"I've found that all of the features are valuable, especially the shared drive and the ability for multiple people to use their documents at the same time."
"The product's setup and deployment phases are easy."
"The product's initial setup phase was straightforward, considering that there is good documentation explaining the implementation part of it."
"Administering App Engine is simple; it has intuitive UIs and a very scalable app engine."
"Seurity features - unauthorized individuals are unable to access certain applications."
"The WhatApp feature is the most valuable."
"Its ability to integrate with most devices helps users who have different or old devices."
"Google Compute is highly scalable."
"The support for ephemeral instances has been particularly valuable for me. It allows me to significantly reduce costs for temporary virtual machines by automatically destroying them once they are no longer needed, which can result in cost savings of up to 90 percent. Additionally, the solution is easy to use."
"One of GCE's best features is the managed instance groups."
"From a feature perspective, I find API integration, automation capabilities, and features like preemptive and Spot instances valuable. Migration tools have also been useful."
"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."
"It's the most engineer-friendly product compared to Amazon AWS or Azure."
"Everything is simple and useful. The initial setup is not challenging."
"The most valuable feature is auto-scaling."
 

Cons

"I am limited to sending a photo to five people. I want to be able to send a photo to many people, not just five."
"The only concern is that there is a number of the offerings which are built on their own proprietary technologies. With some of the offerings in Google Cloud, it's difficult to have a path to migrate to other cloud providers."
"I think there's still a lot that can be done with Google Meet and the video conferencing part of it. It could be more dynamic in terms of what can be done with it."
"Difficult to assess how pricing is managed."
"Some features of runtime don't work well in App Engine."
"The documentation and community are lacking for this product."
"The product's price is an area of concern where improvements are required."
"I would like a simpler deployment tool on laptops. It is a bit complicated at the moment. We know how to do it, but it could be easier to deploy it on laptops."
"I would like to improve the solution’s UI while deploying a container. It is sometimes hard to figure out the container’s details and format that you want to deploy. The tool does not give you a guide to find out the error and why the container is not starting up which could be because you have configured it wrong. This is always a hit on the setup."
"Sometimes support takes time to reply."
"Sometimes support takes time to reply."
"It is not very user-friendly for non-experienced users"
"The high availability features in Google are only available in Google Compute Engine in different regions. If I have another server outside Google, the high availability features in Google cannot synchronize with such a server."
"The biggest problem is that it's got a very archaean and complex security environment that has to be very carefully set up and is easy to break."
"It has some limitations. For example, you don't get through layer two connectivity. So I've had some difficulty deploying custom VMs. For example, you can't deploy a KVM file to file directly on GCP."
"Google Compute Engine needs to have multi-region support. It would also be nice to have a tracking mechanism."
 

Pricing and Cost Advice

"We pay the license yearly. It's about $6 a month, which is $72 a year per person, so it's about $500."
"I would like to have more free application with it. Some of the applications, I am paying more for them. I think that they must be free."
"If we don't know how to work with the tool, we might have some spikes in price."
"Google Compute Engine is not the least expensive solution. Microsoft Azure, and Microsoft One, are offering a less expensive solution. The price is based on usage. Whenever we use it, we have to pay for only usage. It is a pay-as-you-go model."
"It's $60,000 to $70,000 a month to replace about $10,000 a month in data center costs."
"I rate GCE's pricing a five out of ten since it's affordable."
"The tool is reasonably priced, considering its scalability features. If we want to extend the server's capacity, we can do it, and I think it's reasonable."
"Google Compute Engine's pricing is flexible and the best of all other alternatives."
"Google is providing money for learning Google Compute Engine. They offer a $300 free trial to new customers. Any beginner can easily get started."
"In terms of improvement, one is definitely the licensing piece. So there is a feature, the BYOL (Bring Your Own License) licensing piece, to bring your own license. It is not that straightforward. It requires some support from Google to get it sorted, access those licenses, and configure those licenses."
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Comparison Review

it_user8586 - PeerSpot reviewer
Aug 14, 2013
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Educational Organization
16%
Financial Services Firm
10%
University
7%
Manufacturing Company
18%
Computer Software Company
18%
University
14%
Financial Services Firm
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Google App Engine?
The product's setup and deployment phases are easy.
What is your experience regarding pricing and costs for Google App Engine?
If we don't know how to work with the tool, we might have some spikes in price. It will increase a lot of our bill. I rate the pricing a six out of ten.
What needs improvement with Google App Engine?
The product's price is an area of concern where improvements are required.
What do you like most about Google Compute Engine?
Everything is simple and useful. The initial setup is not challenging.
What is your experience regarding pricing and costs for Google Compute Engine?
Google resources are cheaper compared to AWS and Microsoft Azure. Among the three, Google is the cheapest option.
What needs improvement with Google Compute Engine?
Google has a lack of focus on their products. They have many products in various areas of the market, but they do not productize or appeal to the market effectively. They should concentrate on prod...
 

Overview

 

Sample Customers

Khan Academy, Best Buy, Gigya, MetOffice, Getaround, Mimiboard, NewsLimited, WebFilings, and CloudLock.
Allthecooks, BetterCloud, Bluecore, Cosentry, Evite, Ezakus, HTC, Infectious Media, iStreamPlanet, Mendelics, SageMathCloud, Sedex, Treeptik, Wibigoo, Wix, zulily, Zync
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Red Hat and others in PaaS Clouds. Updated: January 2025.
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