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Firebase vs Google Cloud SQL: What are the differences?
Firebase vs Google Cloud SQL
Firebase and Google Cloud SQL are two popular database management systems offered by Google. While both platforms provide services for storing and retrieving data, there are several key differences between them that users should be aware of.
Database Type: Firebase is a NoSQL database, which means it stores data in a flexible, schema-less format, making it ideal for handling unstructured and rapidly changing data. On the other hand, Google Cloud SQL is a fully managed relational database service that supports the SQL language for structured data storage.
Scalability and Performance: Firebase offers automatic scalability and real-time updates with its real-time database and Firestore. This enables applications to handle high volumes of concurrent users and data synchronization across devices. In contrast, Google Cloud SQL provides horizontal scalability through the use of replicas, which allows for better performance and higher bandwidth for read operations.
Data Security: Firebase offers built-in authentication, access control, and Firebase Security Rules to protect data. It also has integration with Firebase Authentication for managing user authentication and authorization. Google Cloud SQL, on the other hand, provides security features such as encryption at rest and in transit, database firewalls, and IAM roles for access control.
Data Modeling and Querying: Firebase offers a flexible data model, allowing developers to store hierarchical data structures and easily query data using simple API calls. Google Cloud SQL, being a relational database, requires a predefined schema and supports complex SQL queries for data retrieval and manipulation.
Serverless Architecture: Firebase provides a serverless architecture, where developers can build and deploy applications without managing underlying infrastructure. It offers several serverless services like Cloud Functions and Hosting for easier development and deployment. Google Cloud SQL, on the other hand, requires managing and provisioning infrastructure resources for the database.
In summary, Firebase offers a NoSQL, real-time, scalable, and serverless database solution that is ideal for flexible and rapidly changing data needs. Google Cloud SQL, on the other hand, provides a managed relational database service with better support for structured data, complex SQL querying, and horizontal scalability.
Note: Generic/declarative sentences have been removed, and the differences have been summarized in a single line.
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.
I would recommend looking hard into Firebase
for this project, especially if you do not have dedicated full-stack or backend members on your team.
The real time database, as you mentioned, is a great option, but I would also look into Firestore
. Similar to RTDB, it adds more functions and some cool methods as well. Also, another great thing about Firebase is you have easy access to storage and dead simple auth as well.
Node.js
Express
MongoDB
Socket.IO
and Apollo
are great technologies as well, and may be the better option if you do not wish to cede as much control to third parties in your application.
Overall, I say if you wish to focus more time developing your React
application instead of other parts of your stack, Firebase
is a great way to do that.
Hello Noam 👋,
I suggest taking a look at Ably, it has all the realtime features you need and the platform is designed to guarantee critical functionality at scale.
Here is an in depth comparison between Ably and Firebase
Hey Noam,
I would recommend you to take a look into 8base. It has features you've requested, also relation database and GraphQL API which will help you to develop rapidly.
Thanks, Ilya
Pros of Firebase
- Realtime backend made easy371
- Fast and responsive270
- Easy setup242
- Real-time215
- JSON191
- Free134
- Backed by google128
- Angular adaptor83
- Reliable68
- Great customer support36
- Great documentation32
- Real-time synchronization25
- Mobile friendly21
- Rapid prototyping19
- Great security14
- Automatic scaling12
- Freakingly awesome11
- Super fast development8
- Angularfire is an amazing addition!8
- Chat8
- Firebase hosting6
- Built in user auth/oauth6
- Awesome next-gen backend6
- Ios adaptor6
- Speed of light4
- Very easy to use4
- Great3
- It's made development super fast3
- Brilliant for startups3
- Free hosting2
- Cloud functions2
- JS Offline and Sync suport2
- Low battery consumption2
- .net2
- The concurrent updates create a great experience2
- Push notification2
- I can quickly create static web apps with no backend2
- Great all-round functionality2
- Free authentication solution2
- Easy Reactjs integration1
- Google's support1
- Free SSL1
- CDN & cache out of the box1
- Easy to use1
- Large1
- Faster workflow1
- Serverless1
- Good Free Limits1
- Simple and easy1
Pros of Google Cloud SQL
- Fully managed13
- Backed by Google10
- SQL10
- Flexible4
- Encryption at rest and transit3
- Automatic Software Patching3
- Replication across multiple zone by default3
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Cons of Firebase
- Can become expensive31
- No open source, you depend on external company16
- Scalability is not infinite15
- Not Flexible Enough9
- Cant filter queries7
- Very unstable server3
- No Relational Data3
- Too many errors2
- No offline sync2