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."From a feature perspective, I find API integration, automation capabilities, and features like preemptive and Spot instances valuable. Migration tools have also been useful."
"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."
"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 is readily available, and software engineers can provision it. It is scalable and allows self-service."
"The main motive for choosing Google Compute Engine is pricing."
"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."
"The product’s most valuable features are integration and hosting."
"What I like most about Google Firebase is that it's one of the easier options to host a website or app quickly."
"I found the flexibility of handling and dealing with database through EDL to be very useful."
"The most valuable features of Google Firebase are its database, noSQL database, file storage, authentication, and notifications."
"The most valuable feature of Google Firebase authentication and deployment."
"Stability-wise, I rate the solution a ten out of ten."
"The scalability is good."
"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."
"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."
"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."
"It is not very user-friendly for non-experienced users"
"Google Compute Engine needs to have multi-region support. It would also be nice to have a tracking mechanism."
"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."
"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."
"The licensing process is not a very straightforward process."
"The solution could improve by providing an improved SDK tool and automatic indexing for databases."
"The product must support more complex queries."
"I would like to have a facility for testing possible scenarios by writing dummy data and then doing different queries."
"Google Firebase should add extra functionality to do global delete and updates across your database."
"The solution's notification system could be much better."
"The platform's bandwidth is quite expensive. Its price could be better."
"The solution's pricing could be better."
"Integrations and extensions offered by the product are quite limited presently."
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, IBM Public Cloud, SAP Cloud Platform and Oracle Cloud Infrastructure (OCI), 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.