Introduction to Firebase & ML Kit for Firebase
Introduction
There are a lot of server-side technologies available in the market and it has become tough for the developer to decide what kind of backend is the most suitable for their app.Today, we are going to explore Firebase by Google along with all the tools and services that it provides.
What is Firebase?
Back in 2011, Firebase was started as a startup called Envolve and later in 2014, it got acquired by Google to become a multifunctional web and mobile app platform.
Firebase is a Backend-as-a-Service — BaaS.
Firebase gives the developers the freedom of time to focus more on creating enhanced user experiences as the developer doesn’t need to manage servers, don’t need to write APIs.
Firebase is built on Google Infrastructure and offers functionality like analytics, databases, crash reporting, and messaging.
Firebase key integrations offer –
- Google AdWords
- AdMob
- DoubleClick
- Play Store
- Data Studio
- BigQuery
- Slack
Firebase Services
The services offered by Firebase can be divided into 3 groups –
Develop
- Real-time Database
- Authentication
- Cloud Messaging
- Storage
- Hosting
- Test Lab
- Crash Reporting
Growth & User Engagement
- Notifications
- Remote Configuration
- App Indexing
- Dynamic Links
- Invites
- Google AdWords
Earn
- AdMob
Firebase Analytics
Analytical dashboard which is equipped is the best features of Firebase. It is free and has the capacity to report 25 attributes along with 500 events types. The dashboard is featured with the analytics of user behavior and measuring with various user attributions. The dashboard helps to understand how user use the app so one can better optimize it in the future.
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