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  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Realtime Backend API
  5. AWS Device Farm vs Firebase

AWS Device Farm vs Firebase

OverviewDecisionsComparisonAlternatives

Overview

Firebase
Firebase
Stacks42.5K
Followers36.0K
Votes2.0K
AWS Device Farm
AWS Device Farm
Stacks74
Followers180
Votes5

AWS Device Farm vs Firebase: What are the differences?

Introduction: In the world of mobile app development, AWS Device Farm and Firebase are widely used platforms for testing and managing mobile applications. Both platforms offer unique features and functions that cater to the diverse needs of app developers.

  1. Deployment Flexibility: One key difference between AWS Device Farm and Firebase is their approach to deployment. AWS Device Farm enables users to upload their app packages and test on a wide range of real devices in the cloud. On the other hand, Firebase offers a more integrated approach, allowing users to easily deploy apps to Firebase Hosting with a single command.

  2. Testing Capabilities: AWS Device Farm focuses primarily on testing mobile apps across a variety of devices, browsers, and operating systems. It provides real-time performance and compatibility testing on physical devices. In contrast, Firebase's testing capabilities mainly revolve around automated testing of app functionality, performance, and security through Firebase Test Lab.

  3. Integration with Ecosystem: AWS Device Farm seamlessly integrates with other Amazon Web Services, allowing users to leverage additional cloud services for their app development needs. In contrast, Firebase offers deep integration with other Google services and tools, providing developers with a more cohesive ecosystem for app development and management.

  4. Cost Structure: The pricing models for AWS Device Farm and Firebase differ significantly. AWS Device Farm charges users based on device minutes utilized for testing, while Firebase offers a more flexible pricing structure based on the number of daily active users and the features used within the platform.

  5. Community Support: Firebase boasts a strong community of developers and resources, including documentation, tutorials, and forums that facilitate collaboration and troubleshooting. While AWS Device Farm offers robust technical support, Firebase's community-driven approach can provide additional insights and solutions for developers.

  6. Analytics and Monitoring: Firebase excels in providing comprehensive analytics and monitoring features for mobile apps, including user engagement metrics, crash reporting, and real-time monitoring. On the other hand, AWS Device Farm focuses more on testing and compatibility, with limited analytics and monitoring capabilities compared to Firebase.

In Summary, AWS Device Farm and Firebase differ in deployment flexibility, testing capabilities, integration with ecosystems, cost structures, community support, and analytics and monitoring features, catering to distinct needs in mobile app development.

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Advice on Firebase, AWS Device Farm

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

Detailed Comparison

Firebase
Firebase
AWS Device Farm
AWS Device Farm

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.

Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors.

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.
Test on the same devices your customers use; Fix issues faster and delight your users; Simulate real-world environments; Choose the tests that work for you; Integrate with your development workflow; Test with confidence;
Statistics
Stacks
42.5K
Stacks
74
Followers
36.0K
Followers
180
Votes
2.0K
Votes
5
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
  • 3
    1000 free minutes
  • 2
    Pay as you go pricing
Cons
  • 1
    You need to remember to turn airplane mode off
  • 1
    Records all sessions, blocks on processing when done
Integrations
Trigger.io
Trigger.io
Famo.us
Famo.us
Backbone.js
Backbone.js
Ember.js
Ember.js
AngularJS
AngularJS
React
React
No integrations available

What are some alternatives to Firebase, AWS Device Farm?

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.

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.

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.

Ably

Ably

Ably offers WebSockets, stream resume, history, presence, and managed third-party integrations to make it simple to build, extend, and deliver digital realtime experiences at scale.

Syncano

Syncano

Syncano is a backend platform to build powerful real-time apps more efficiently. Integrate with any API, minimize boilerplate code and control your data - all from one place.

NATS

NATS

Unlike traditional enterprise messaging systems, NATS has an always-on dial tone that does whatever it takes to remain available. This forms a great base for building modern, reliable, and scalable cloud and distributed systems.

k6

k6

It is a developer centric open source load testing tool for testing the performance of your backend infrastructure. It’s built with Go and JavaScript to integrate well into your development workflow.

Locust

Locust

Locust is an easy-to-use, distributed, user load testing tool. Intended for load testing web sites (or other systems) and figuring out how many concurrent users a system can handle.

SocketCluster

SocketCluster

SocketCluster is a fast, highly scalable HTTP + realtime server engine which lets you build multi-process realtime servers that make use of all CPU cores on a machine/instance. It removes the limitations of having to run your Node.js server as a single thread and makes your backend resilient by automatically recovering from worker crashes and aggregating errors into a central log.

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