Tag: Cloud Firebase

AWS vs Firebase – What To Use For Mobile App Backend?

AWS vs Firebase – What To Use For Mobile App Backend?

To meet the increasing demand for tech-savvy customers the world is moving at an ultra-fast pace. A few years back we were more into desktops but with the changing technology and emergence of the mobile era, the world is shifting to mobile. The increase in the number of smartphone users reflects how important it is for businesses to have a mobile app.

Mobile internet users surpassed the number of desktop internet users in 2013-14. This was the start that turned into an explosion of mobile internet users. Several businesses became the initial adopters of the mobile application, with the passage of time the world entered the era of serverless architecture. Let’s take a deep dive into what serverless architecture is? But before it, you need to know the two terms “Amazon AWS” and “Google Firebase” that are the two buzz words in mobile application development. The ease of navigating in an app, quick and easy social media integrations and benefits of cloud storage are a few benefits why AWS and Firebase are being used by mobile app developers.

Understanding the Serverless Architecture

The traditional server was a single server which executes a process after receiving a request and gives a response accordingly. Here the server was responsible for multiple processes including processing, tracking, authentication and much more. The traditional servers had a big load. However, the emergence of smart serverless architecture has shown a shift from traditional to microservice architecture. The serverless runs as per need, only when a request is received. Unlike the traditional servers, it does not run continuously for 24 hours.

The benefit of the serverless architecture is that every function runs smoothly without overlapping with others which leads to fast and less complicated processing.

AWS and Firebase for Mobile Backend

You can use any of the two services for your mobile app backend, but before you make a choice let’s know what these services have to offer:

Let’s take a look at AWS:

AWS offers a number of services that eases the job of mobile app developers. AWS Lambda allows you to quickly implement event-driven architectures without requiring any persistent resources. You can use this service to host backend logic for your mobile apps. The best feature is that the code is automatically run by Lambda in response to events, and on an as-needed basis, the resources are allocated to resolve requests.

Reading and writing to a local data store is supported by Amazon Cognito Sync service, with this, your app can work the same way both online and offline.

The AWS Reference Architecture provides a RESTful mobile backend infrastructure which makes use of AWS managed services for addressing common requirements for backend resources.

To build REST APIs for secure access of backend services by mobile apps, developers can use Amazon API Gateway. This service, when combined with AWS Lambda, results in completely serverless APIs.

Let’s take a look at Firebase: 

Google has transformed Firebase from Mobile-Back-end-as-a-Service (MBaaS) to an impeccable back-end solution for web and mobile app development. Firebase has a powerful SDK and one console for creating and managing applications across web, Andriod and iOS. Firebase SDK supports many programming languages, Java, C++, Swift, JavaScript, JavaScript and Node.js among others. It also supports Backbone, Angular, and React through bindings to the database. Test Lab allows testing on an app on real devices, but this feature is only available for Andriod. Remote Config feature of Firebase allows app developers to make changes to the appearance or behaviour of an application without needing to download a new version.

Google offers a number of helper libraries, Geofire, FirebaseUI,  FirebaseJobDispatcher and Firebase Queue. The name indicates the purpose of the libraries. Besides all these features, Firebase has Firebase Cloud Messaging (FCM), NoSQL database for storing JSON data, integration with Google AdMob, and also supports integration with ElasticSearch and importing large JSON data sets.

Main Differences Between AWS and Firebase?

• AWS provides both managed and non-managed services, while Firebase offers only a managed service

•  AWS works with proprietary and open-source products, whereas Firebase is a proprietary technology from Google.

• AWS is Infrastructure as a Service provider, whereas Firebase is a Backend as a Service.

• Firebase runs on top of Google Cloud. 

• AWS is more flexible in comparison to Google Firebase.

• In comparison to Firebase, for some services, AWS is cheaper.
• Bit of a learning curve to AWS as compared to Firebase.

Firebase has a powerful SDK, but AWS offers 10 times the services Firebase offers. 

Which One Should You Choose?

Now you know what AWS or Google’s Firebase has to offer for mobile app development, the choice of technology is your calling. Choose any of the two based on the project requirement. Both AWS and Firebase offer a plethora of features that make the job of an app developer much easier. What would you like to use for mobile backend and why? How is your experience with these services? Tell us in the comments below. 

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Cloud Firestore vs Firebase: The Names You Know, The Differences You Don’t !

Cloud Firestore vs Firebase: The Names You Know, The Differences You Don’t !

Well…While day in and day out, we read in newspapers and over internet and media channels about the progress that science and technology has made and the kind of comfort and convenience it has added to our life, there is certainly one more thing which is not being talked about and i.e. the chaos and confusion. Undoubtedly, scientific and technological advancements have made our life simple and sorted but it has also left us confused wondering upon the options that we have.

Similarly, when it comes to Cloud Hosting and Database Hosting the developers have way too many options such as Cloud Firestore, Cloud Firebase, Google Cloud, AWS etc. which often confuses them and leaves them bewildered.

In this blog, we are going to talk about Cloud Firestore and Cloud Firebase and will also provide you with enough points which will help you analyze the difference between the two thereby helping you understand which one is a better alternative for you and why.

Key highlights of the blog are:-

  • Cloud Firestore and Cloud Firebase : What Are They?
  • Cloud Firestore vs Cloud Firebase : The Differences
  • Your Takeaway

Cloud Firestore and Cloud Firebase : What Are They?

Cloud Firestore and Cloud Firebase, are both commonly used NoSQL databases which are popular and are preferably used for their speed and efficiency. While both of them have a lot of features in common such as ease of setting up; Firebase console for admin users are different from one another. 

Cloud Firestore

Cloud Firestore is a new database of Firebase which is used to build mobile apps. In comparison to Cloud Firebase or any real-time database, it has better scalability and faster queries with richer features.

Cloud Firebase

Cloud Firebase is old, original and tested database which is already available in the market. It is already well-known in the market as it gives a low latency solution for mobile apps and can sync your data instantly.

Cloud Firestore vs Cloud Firebase : The Differences

While both of them are popular NoSQL databases and have a lot of features in common, they are quite different from one another. Take a look at the comparison table below to understand the differences between the two, which will also help you analyze which one should you chose for your project and why.



Cloud Firestore Cloud Firebase
Data Model / Data Structure


It stores data as a collection of documents. As a result, it is easier to organize even complex hierarchical data at scale using sub collections within documents.


It stores data in the form of one large JSON tree. Thus, it is difficult to organize complex hierarchical data at scale using this structure.
Data Flattening


It requires less data flattening as compared to Cloud Firebase.


It requires more data flattening as compared to Cloud Firestore.
Querying In The Database


It supports indexed queries which facilitates compound sorting and filtering. Also, the queries are not deep and you can easily query for sub- collections within a document. Also, the performance of the query is proportional to result set and not data set.


It does not support indexed queries. Thus, you cannot use both filter and sort in a single query. Also, the queries are deep and return the entire sub tree as a result.
Writing Transactions/ Data


It offers atomic write and transaction operations which means either all or nothing gets executed. Also, operations can be batched an completed atomically. Transactions can read and write from any part of the database and thus it will keep repeating automatically until it is completed.


It offers basic write operations and transactions where data can be written only as individual operation. Also, transactions are atomic only on a specific subtree. Thus, it is not automatic.
Pricing Patterns


In addition to network bandwidth and the amount of storage used, it also charges for the operations performed in the database which includes read, write and delete as well. However, in spite of this fact the overall rate is still lower as compared to Cloud Firebase.


While it charges only for the network bandwidth and the amount of storage used, the rates are much higher as compared to Cloud Firestore.
Security Considerations


In this, Authorization and Validation are combined. Write and Read rules for the mobile SDKs are secured by Firestore Security rules. However, the entire query can fail if the results contain the data user don’t have access to.


In this, Authorization and Validation are separate. Write and Read rules for the mobile SDKs are secured by Firebase Real-time Database Rules. You can easily validate the data separately, with Valid Rules.
Reliability and Performance


It is a multi-region solution, thus it scales automatically. It can share your data across multiple data centers in separate regions and thus makes sure that the scalability is global and provides us stronger reliability.


It is a single region solution, where the databases are limited to zonal availability within a particular region. It offers extremely low latency and thus is appropriate for apps which require frequent syncing.
Scalability- Concurrent Connections


In this, the scaling process is automatic. Firebase does it on their own. Cloud Firestore can scale over 1 million connections simultaneously and gives you 10K writes per second. However, it also gives you a limit on the writes per index or document.


In this, the scaling process is not automatic. You have to scale on your own. It scales around 200K connections simultaneously and gives you 1K writes per second. Also, there is no limit on writes per index or document.
Real-Time and Offline Support


It supports real-time SDKs and offline support (i.e. local storage) for mobile (Android & IOS) devices as well as web clients.


It supports real-time SDKs and offline support (i.e. local storage) only for mobile ( Android & IOS) devices.
Import and Export of Data In Cloud Firestore, the import and export of data across the  databases are not that easy. Thus, it is a major challenge for the users.


In Cloud Firebase, importing or exporting of data across different databases is much simpler as it uses a single JSON file.


Your Takeaway

Wrapping it up, all I would say is both Cloud Firestore and Cloud Firebase are popular database options and have their own pros and cons, so when making a choice of  database you should analyze both of them keeping in mind the requirements of your project. While choosing between Cloud Firestore and Cloud Firebase can be a tough decision, your calling is one that meets your project requirements, needs and budget considerations.“ Keep it simple, do your research and concentrate on what cannot lie, the Facts.”

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