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Firebase's first product was the Firebase Realtime Database, an API that synchronizes application data across iOS, Android, and Web devices, and stores it on Firebase's cloud. The product assists software developers in building real-time, collaborative applications.
Firebase Cloud Messaging (FCM) is part of the Firebase platform, which is a cloud service model that automates backend development or a Backend-as-a-service (BaaS). After the Firebase company was acquired by Google in 2014, some Firebase platform products or technologies were integrated with Google’s existing services.
It is based on Visual Studio Code, and the infrastructure runs on Google Cloud. In addition to including the features, languages and plugins supported by VS Code, it has unique functionality built by Google. These include a built-in generative artificial intelligence assistant powered by Gemini, Nix integrations, and iOS and Android emulators.
Google introduced Flutter for native app development. Built using Dart, C, C++ and Skia, Flutter is an open-source, multi-platform app UI framework. Prior to Flutter 2.0, developers could only target Android, iOS and the web. Flutter 2.0 released support for macOS, Linux, and Windows as a beta feature. [67]
Web and mobile apps require a similar set of features on the backend, including notification service, integration with social networks, and cloud storage. [9] [10] Each of these services has its own API that must be individually incorporated into an app, a process that can be time-consuming and complicated for app developers. [11]
Google Cloud Storage is an online file storage web service for storing and accessing data on Google Cloud Platform infrastructure. [1] The service combines the performance and scalability of Google's cloud with advanced security and sharing capabilities. [ 2 ]
Google App Engine (also referred to as GAE or App Engine) is a cloud computing platform used as a service for developing and hosting web applications.Applications are sandboxed and run across multiple Google-managed servers. [2]
Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]