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  4. Realtime Backend API
  5. Firebase vs Google Compute Engine

Firebase vs Google Compute Engine

OverviewDecisionsComparisonAlternatives

Overview

Firebase
Firebase
Stacks42.5K
Followers36.0K
Votes2.0K
Google Compute Engine
Google Compute Engine
Stacks12.4K
Followers9.2K
Votes423

Firebase vs Google Compute Engine: What are the differences?

Introduction Firebase and Google Compute Engine are both cloud-based platforms provided by Google, but they have key differences in terms of their services and functionalities.

1. Scalability and Flexibility: Firebase is designed to provide a platform for building and deploying web and mobile applications with ease and speed. It offers a range of services including authentication, real-time database, hosting, and messaging, among others. On the other hand, Google Compute Engine offers virtual machines (VMs) on the cloud that can be customized to meet specific computing needs. It allows for greater control over the infrastructure, providing more flexibility and scalability options.

2. Infrastructure Management: Firebase abstracts away the underlying infrastructure, allowing developers to focus on application development without worrying about server management. It handles the infrastructure and autoscaling automatically, taking care of load balancing and resource allocation. On the contrary, Google Compute Engine requires users to manage their own infrastructure. It provides more control over the virtual machines, enabling users to configure and optimize the infrastructure according to their specific requirements.

3. Pricing Model: Firebase follows a pay-as-you-go pricing model, where users are billed based on the actual usage of Firebase services. The charges are determined by factors such as the number of requests, storage usage, and data transfer. Google Compute Engine, however, offers a more traditional pricing model where users pay for the virtual machine instances they use, based on the machine type, duration of use, and storage requirements.

4. Service Scope: Firebase provides a comprehensive set of features and services for building and managing applications, including authentication, real-time database, cloud storage, machine learning, and analytics, among others. It is designed to offer an end-to-end solution for application developers. On the other hand, Google Compute Engine focuses primarily on providing virtual machines and infrastructure for running applications. It does not provide the same level of high-level services and features as Firebase.

5. Integration with Other Google Services: Firebase integrates seamlessly with other Google services, such as Google Cloud Storage, Cloud Functions, Cloud Firestore, and Google Analytics. It provides a unified experience and allows developers to leverage multiple Google services within their applications. Google Compute Engine also integrates with other Google Cloud services, but its integration options are more limited compared to Firebase.

6. Development Complexity: Firebase aims to simplify the development process by providing easy-to-use APIs and SDKs. It offers a range of client-side libraries for various platforms, making it easier to implement Firebase services into applications. Google Compute Engine, on the other hand, requires more advanced technical knowledge and expertise to set up and manage the infrastructure. It is better suited for users who require more control and customization options.

In summary, Firebase and Google Compute Engine differ in terms of scalability, infrastructure management, pricing model, service scope, integration with other Google services, and the complexity of development.

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Advice on Firebase, Google Compute Engine

Jared
Jared

Contractor at Insight Global

Aug 9, 2019

ReviewonFirebaseFirebase

I started using Firebase over 5 years ago because of the 'real-time' nature. I originally used to use Real Time Database, but now I use Cloud Firestore. I recommend using the Google Firebase PaaS to quickly develop or prototype small to enterprise level web/mobile applications. Since Google purchased Firebase, it has exploded and it growing rapidly. I also find some level of comfort that it is Backed by Google.

272k views272k
Comments
Noam
Noam

Jul 16, 2020

Needs adviceonNode.jsNode.jsExpressJSExpressJSReactReact

We are starting to work on a web-based platform aiming to connect artists (clients) and professional freelancers (service providers). In-app, timeline-based, real-time communication between users (& storing it), file transfers, and push notifications are essential core features. We are considering using Node.js, ExpressJS, React, MongoDB stack with Socket.IO & Apollo, or maybe using Real-Time Database and functionalities of Firebase.

1.15M views1.15M
Comments
Eric
Eric

Owner at The Richner Group

Sep 24, 2020

Needs adviceonReactReactElasticsearchElasticsearchFirebaseFirebase

We are starting to work on a web-based platform aiming to connect investors/wholesalers (clients) and buyers (service providers). A third service provider, lenders, will be added in the future.

The ability to create profiles of buyers w/ their buying criteria, to create saved records of properties for sale (provided by client) to be cross-referenced against the buyers' criteria is our core functionality.

In-app, timeline-based, real-time communication between users (& storing it), file transfers, and push notifications are post MVP features we would like as well.

We are considering using React, Elasticsearch / App Search w/ their Search UI, and using Real-Time Database and functionalities of Firebase.

30.1k views30.1k
Comments

Detailed Comparison

Firebase
Firebase
Google Compute Engine
Google Compute Engine

Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.

Add the Firebase library to your app and get access to a shared data structure. Any changes made to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.;Firebase apps can be written entirely with client-side code, update in real-time out-of-the-box, interoperate well with existing services, scale automatically, and provide strong data security.;Data Accessibility- Data is stored as JSON in Firebase. Every piece of data has its own URL which can be used in Firebase's client libraries and as a REST endpoint. These URLs can also be entered into a browser to view the data and watch it update in real-time.;Real-time Synchronization- Firebase takes a new approach to the way data is moved around an app. Rather than using a traditional request & response model, it works by synchronizing data between devices. Whenever your data changes, all clients are immediately notified within milliseconds. The synchronized data is also persisted, allowing new clients to be immediately updated.;First-class Data Security- Traditional applications intermix security code with application code, whereas Firebase treats security as a first-class feature. You define your security policies in one place using a flexible rules language, and Firebase ensures that they are consistently enforced across all parts of your application. Having all your security logic in one place allows for easy auditing and helps you avoid security mistakes. The safety and security of your data is our top priority.;Automatic Scaling- The Firebase API is built from the ground up for performance and scale. Whenever your data changes, Firebase calculates the minimum set of updates required to keep all your clients in sync. In addition, all Firebase API functions are designed to scale linearly with the size of the data being synchronized. More importantly, Firebase handles all of the scaling and operations for you. Your app will scale from its first user to its first million without any code changes.;Servers are Optional- Firebase can provide all of the data storage, control, and transmission needs of most apps. In many cases, Firebase can completely replace your server and server-side code. This means you no longer need to build complicated backend software and can instead focus on your application logic and your customers.
High-performance virtual machines- Compute Engine’s Linux VMs are consistently performant, scalable, highly secure and reliable. Supported distros include Debian and CentOS. You can choose from micro-VMs to large instances.;Powered by Google’s global network- Create large compute clusters that benefit from strong and consistent cross-machine bandwidth. Connect to machines in other data centers and to other Google services using Google’s private global fiber network.;(Really) Pay for what you use- Google bills in minute-level increments (with a 10-minute minimum charge), so you don’t pay for unused computing time.;Load balancing- Native load-balancing technology helps you spread incoming network traffic across a pool of instances, so you can achieve maximum performance, throughput and availability at low cost.;Fast and easy provisioning- Quickly deploy large clusters of virtual machines with intuitive tools including a RESTful API, command-line interface and web-based Console. You can also use tools such as RightScale and Scalr to automatically manage your deployment.;Compliance and security- All data written to disk in Compute Engine is encrypted at rest using the AES-128-CBC algorithm. Compute Engine has completed ISO 27001, SSAE-16, SOC 1, SOC 2, and SOC 3 certifications, demonstrating our commitment to information security.
Statistics
Stacks
42.5K
Stacks
12.4K
Followers
36.0K
Followers
9.2K
Votes
2.0K
Votes
423
Pros & Cons
Pros
  • 371
    Realtime backend made easy
  • 270
    Fast and responsive
  • 242
    Easy setup
  • 215
    Real-time
  • 191
    JSON
Cons
  • 31
    Can become expensive
  • 16
    No open source, you depend on external company
  • 15
    Scalability is not infinite
  • 9
    Not Flexible Enough
  • 7
    Cant filter queries
Pros
  • 87
    Backed by google
  • 79
    Easy to scale
  • 75
    High-performance virtual machines
  • 57
    Performance
  • 52
    Fast and easy provisioning
Integrations
Trigger.io
Trigger.io
Famo.us
Famo.us
Backbone.js
Backbone.js
Ember.js
Ember.js
AngularJS
AngularJS
React
React
RightScale
RightScale
Qubole
Qubole
Scalr
Scalr
Boundary
Boundary
Red Hat Codeready Workspaces
Red Hat Codeready Workspaces
Kinvey
Kinvey
New Relic
New Relic
Twilio SendGrid
Twilio SendGrid
Zencoder
Zencoder

What are some alternatives to Firebase, Google Compute Engine?

DigitalOcean

DigitalOcean

We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.

Amazon EC2

Amazon EC2

It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.

Socket.IO

Socket.IO

It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.

Microsoft Azure

Microsoft Azure

Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

Linode

Linode

Get a server running in minutes with your choice of Linux distro, resources, and node location.

PubNub

PubNub

PubNub makes it easy for you to add real-time capabilities to your apps, without worrying about the infrastructure. Build apps that allow your users to engage in real-time across mobile, browser, desktop and server.

Pusher

Pusher

Pusher is the category leader in delightful APIs for app developers building communication and collaboration features.

Scaleway

Scaleway

European cloud computing company proposing a complete & simple public cloud ecosystem, bare-metal servers & private datacenter infrastructures.

SignalR

SignalR

SignalR allows bi-directional communication between server and client. Servers can now push content to connected clients instantly as it becomes available. SignalR supports Web Sockets, and falls back to other compatible techniques for older browsers. SignalR includes APIs for connection management (for instance, connect and disconnect events), grouping connections, and authorization.

Rackspace Cloud Servers

Rackspace Cloud Servers

Cloud Servers is based on OpenStack, the open and scalable operating system for building public and private clouds. With the open cloud, you get reliable cloud hosting, without locking your data into one proprietary platform.

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