Deployment options With AWS Amplify, you could use the Amplify CLI to build and deploy the entire stack, including the front-end and backend components With Azure Web Apps, you could deploy the application using the Azure App Service, which provides a scalable platform for hosting and managing web applications With Firebase, you could use the Firebase Realtime Database and Firebase Authentication to build the backend and host the application using Firebase Hosting

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Backend services AWS Amplify, you could use the integrated backend services provided by Amplify, including authentication, APIs, and storage "Azure Web Apps, you could use Azure Functions and Azure Logic Apps to build the backend logic, such as event management and ticketing"
With Firebase, you could use the Firebase Realtime Database to store event data and Firebase Authentication to handle user authentication.


Pricing AWS Amplify, the cost of the application could increase rapidly as the number of users and data grows, which may be less ideal for large projects Azure Web Apps, you would pay for the compute and storage resources consumed by the application, with costs that are more predictable and consistent. Firebase offers a free plan for small projects, with additional paid services available for larger projects.


Ecosystem AWS Amplify is part of the AWS ecosystem, which provides a large number of services for various use cases. Azure Web Apps is part of the larger Azure ecosystem, which provides a wide range of services and tools for cloud computing Firebase is part of the Google Cloud platform and integrates with other Google Cloud services.


Development experience With AWS Amplify, the development process is simplified by the Amplify CLI and graphical user interface. With Azure Web Apps, manual configuration and scripting may be required. With Firebase, the backend services and integration with front-end frameworks are simple and intuitive.


Conclusion the choice between Azure Web Apps, AWS Amplify, and Google Cloud Firebase would depend on the specific requirements of the project, such as the scalability, complexity, and resources required. It's recommended to evaluate each platform based on these requirements and choose the one that best fits your needs.