Summary: The article explores creating APIs in Google GCP and Firebase, comparing Google Cloud Endpoints, Firebase Cloud Functions, and Firebase Realtime Database/Firestore. Each method offers unique advantages like easy integration and serverless architecture, but also comes with limitations such as complex setup and limited execution time.

Creating APIs in Google GCP and Firebase

Method Description Pros Cons
Google Cloud Endpoints Google Cloud Endpoints is a distributed API gateway that allows developers to create, deploy, protect, monitor, and manage APIs. It supports OpenAPI Specification and gRPC.
  • Easy integration with other Google Cloud services
  • Automatic generation of client libraries
  • Built-in security features
  • Complex setup and configuration
  • May have limitations in customization
Firebase Cloud Functions Firebase Cloud Functions allow developers to run backend code in response to events triggered by Firebase features and HTTPS requests. It can be used to create lightweight APIs.
  • Serverless architecture - no need to manage servers
  • Easy integration with Firebase services
  • Automatic scaling based on demand
  • Limited execution time and memory
  • May incur costs based on usage
Firebase Realtime Database and Firestore Firebase Realtime Database and Firestore can be used to store and retrieve data in real-time. They provide SDKs for various platforms to interact with the database directly.
  • Real-time data synchronization
  • Offline support for mobile apps
  • Scalable and flexible data models
  • May not be suitable for complex querying
  • Limited to Firebase ecosystem



App-engine    Bigquery    Cloud-functions    Cloud-run    Cloud-sql    Cloud-storage    Compute-engine    Firestore    Kubernetes-engine    Methods-to-create-apis-in-gcp