Dynamic

App Cache vs IndexedDB

Developers should learn App Cache primarily for maintaining legacy web applications that still rely on it, as it was widely used in the early 2010s for offline functionality meets developers should learn indexeddb when building progressive web apps (pwas) or any web application that requires robust offline capabilities, such as note-taking apps, document editors, or media players. Here's our take.

🧊Nice Pick

App Cache

Developers should learn App Cache primarily for maintaining legacy web applications that still rely on it, as it was widely used in the early 2010s for offline functionality

App Cache

Nice Pick

Developers should learn App Cache primarily for maintaining legacy web applications that still rely on it, as it was widely used in the early 2010s for offline functionality

Pros

  • +It's also useful for understanding the evolution of web technologies, but new projects should avoid it in favor of service workers, which offer better control, reliability, and features like background sync and push notifications
  • +Related to: service-workers, progressive-web-apps

Cons

  • -Specific tradeoffs depend on your use case

IndexedDB

Developers should learn IndexedDB when building progressive web apps (PWAs) or any web application that requires robust offline capabilities, such as note-taking apps, document editors, or media players

Pros

  • +It's essential for scenarios where users need to access and manipulate data without an internet connection, and for caching large datasets like product catalogs or user-generated content to reduce server load and latency
  • +Related to: javascript, progressive-web-apps

Cons

  • -Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. App Cache is a tool while IndexedDB is a database. We picked App Cache based on overall popularity, but your choice depends on what you're building.

🧊
The Bottom Line
App Cache wins

Based on overall popularity. App Cache is more widely used, but IndexedDB excels in its own space.

Disagree with our pick? nice@nicepick.dev