We performed a comparison between Google Compute Engine and Google Firebase based on real PeerSpot user reviews.
Find out in this report how the two Infrastructure as a Service Clouds (IaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."One of GCE's best features is the managed instance groups."
"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."
"The solution helps to direct SSH into the machine at the click of a button. It also helps to deploy container images right from the UI. There is no need to manage the containers on the machine. I also like the tool’s Spot provision model."
"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."
"The solution is readily available, and software engineers can provision it. It is scalable and allows self-service."
"Everything is simple and useful. The initial setup is not challenging."
"The most valuable feature is auto-scaling."
"It's the most engineer-friendly product compared to Amazon AWS or Azure."
"Google Analytics for Firebase is the best feature of the solution."
"The most valuable feature I like is about the realtime. Updates are also very fast."
"The main feature for us is that the tools are all in one place and that you don't need to bother with the backend system and the infrastructure."
"The most valuable features of Google Firebase are its database, noSQL database, file storage, authentication, and notifications."
"The Realtime Database feature is the most important for us since we are able to see changes in the database the moment they are happening."
"Google Firebase has a lot of services like storage, Firestore, and push notifications."
"Stability-wise, I rate the solution a ten out of ten."
"The product’s most valuable features are integration and hosting."
"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."
"There have been instances when a customer has tried to deploy a certain number of VMs inside a project, and they come across quota issues."
"It is not very user-friendly for non-experienced users"
"The licensing process is not a very straightforward process."
"It would be better if there was an option to change the background. Like in Gmail, there's an option to change your theme."
"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."
"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."
"Google Compute Engine does not have many options at a lower tier level. If they had more options it will be better. For example, Amazon AWS or Microsoft Azure, have more options and different types of instances, of VMs we can select."
"I would like to have a facility for testing possible scenarios by writing dummy data and then doing different queries."
"I rate the support from Google Firebase a four out of five."
"One of the challenges I was facing when I was using it was the library called Google Dialogflow which allows you to connect your chatbot with an intent. So there is so much adding when you are trying to connect it with your service because you have to do a lot of repetition writing a new intent, putting it step by set so it is good to escape. I believe it should be flexible and dedicate the intents based on the relating and to write a lesser code when doing that."
"The UI for the realtime database could be simplified."
"Firebase's real-time information isn't technically real-time. It takes a while to upload user activity into the app. It's not as fast as Datadog, the other solution we use."
"There was no way of knowing how the rise in traffic would impact the price."
"The solution needs to offer capabilities to work offline. Like Firestore, we should be able to do insertion, updating, and deletion offline."
"The product must support more complex queries."
Google Compute Engine is ranked 11th in Infrastructure as a Service Clouds (IaaS) with 13 reviews while Google Firebase is ranked 5th in Infrastructure as a Service Clouds (IaaS) with 32 reviews. Google Compute Engine is rated 8.8, while Google Firebase is rated 8.4. The top reviewer of Google Compute Engine writes "A cost-effective and quite an elastic solution ". On the other hand, the top reviewer of Google Firebase writes "An application development solution that has a lot of services like storage, Firestore, and push notifications". Google Compute Engine is most compared with Google App Engine, Microsoft Azure, Amazon AWS, IBM Public Cloud and SAP Cloud Platform, whereas Google Firebase is most compared with Microsoft Azure, Amazon AWS, DigitalOcean, Oracle Cloud Infrastructure (OCI) and Alibaba Cloud. See our Google Compute Engine vs. Google Firebase report.
See our list of best Infrastructure as a Service Clouds (IaaS) vendors.
We monitor all Infrastructure as a Service Clouds (IaaS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.