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What is FireBase And WHY Do I Like It So Much ?!?!?!!


Intro:

So in today's post I thought I'd talk about FireBase as it's something that I feel everyone can use for their benefit.


Before we get into the main content, like comment share and if you can, please click on the ads to help support the blog!!



What is FireBase?

FireBase is a BaaS (backend as a service), developed by Google. In a recent blog post, I touched upon Cloud Computing, specifically AWS; mentioning terms like SaaS, PaaS and IaaS. BaaS works in a similar way, using the cloud to handle the backend of an application.


One thing to bear in mind is that FireBase focusses on being a 'mobile platform' whereas AWS is a larger 'cloud platform'. People often try to compare FireBase and AWS however a fairer comparison would be GCP vs AWS (maybe save that for a future post).


Services They Offer:

Authentication - Pretty self explanatory. Connecting your application to FireBase means you can let them handle the authentication process. They have a whole range of options (Google; Email & Password; Facebook...) for you to use.


RealTime Database - This was the first database introduced into FireBase. Like all the other services, it's held in the cloud. All data is stored in a JSON tree, using a NoSQL (key, value) approach (the modern approach) and there are limited queries available. I had the discomfort of trying to learn Java with Android Studio with Firebase's RealTime Database and it was a painful experience.


Cloud FireStore - This is a newer database approach implemented into Firebase and it's more intuitive. Again NoSQL however this one uses a Document, Value approach instead. I've used this approach many times for my React JS projects. Here are links to the deployed apps: https://github.com/compandcode/Clever-Programmer-Assisted-Builds


Storage - Uses the cloud to store files like jpg's. I've only used this once for a 'Snapchat Clone'.


Hosting - Deploys projects to the web applying a suffix domain of ' .web.app/ '.


Functions - Serverless framework to handle HTTP requests or other API requests. I've used this once as part of my Amazon Clone (see the link above)!!


Machine Learning - New addition to Firebase allowing you to train and deploy models, using TensorFlow. I don't have any experience of this, as of yet.


How Have I Used It?

As stated above, I've used it for 1 Android project and a range of React JS projects. I've used Authentication, Hosting, Cloud FireStore and Functions before.


Why I Like it So Much?!?!

It's so easy to use!!

The docs are super helpful and it's quick to setup, compared to AWS.

Very powerful also.

Final Things:

As always, thank you for making it this far, please leave comments, they help me so much.Be sure to like and share also, lets try and get 100 views within a week, like we have done previously.Follow CompAndCode on all platforms! Thank You Nibble Byte!!! Hashtags: #computerscience #coding #programming #technology #python #programmer #computer #tech #developer #coder #java #javascript #code #codinglife #webdeveloper #softwareengineer #engineering #machinelearning #softwaredeveloper #html #programmers #software #artificialintelligence #computerengineering #linux #datascience #cybersecurity #programmingmemes #hacking #bhfyp #informationtechnology #programminglife #hacker #css #pythonprogramming #php #webdesign #ai #science #programmerlife #codingmemes #deeplearning #developers #programmerhumor #coderlife #codingisfun #computers #kalilinux #developerlife #development #ethicalhacking #softwareengineering #computerprogramming #windows #coders #codingbootcamp #security #geek #daysofcode #programmingisfun #compandcode

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