What benefits does Observable provide compared to a standard Array?

In my experience with Angular, I have utilized Observables in the state layer to manage and distribute app data across different components. I believed that by using observables, the data would automatically update in the template whenever it changed, eliminating the need for manual checks.

Out of curiosity, I decided to conduct an experiment to compare the results of using Observables versus not using them: stackblitz

Surprisingly, I found that the template still updated itself seamlessly when using a regular array instead of observables.

This got me thinking - what is the real value added by using observables over a traditional array to store and share data within an Angular application?

Answer №1

Utilize RxJS Observables for the following scenarios:

  1. Combining multiple events
  2. Introducing delays
  3. Implementing clientside rate limiting
  4. Coordinating asynchronous tasks
  5. When cancellation is needed (although modern Promises can utilize abortController)

However, they may not be suitable for:

  1. Simple button clicks
  2. Basic form interactions
  3. Developing Hello world applications

Note: RxJS excels when fine-grained control over event streams is required (adding delays, using operators like debounceTime/ThrottleTime, etc.). If you only need to make changes per event without controlling the stream itself, a reactive approach may not be the best choice. While it's possible to achieve similar logic without a reactive approach, it can lead to more error-prone and less scalable code. For simple hello-world apps, a reactive approach might not be ideal (in my opinion). To experience the power of RxJS firsthand, consider building an app with a search field that waits before making requests (using debounceTime to limit request frequency) and avoids making duplicate requests for the same input (use distinctUntilChanges). The non-RxJS alternative typically results in more verbose and challenging-to-read code (and may not be as easily scalable).

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