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Table of Contents
What is IndexedDB?
Why use IndexedDB instead of localStorage?
What are the applicable scenarios of IndexedDB?
What should I pay attention to when using IndexedDB?
Home Web Front-end JS Tutorial What is IndexedDB and when should it be used?

What is IndexedDB and when should it be used?

Jun 24, 2025 am 12:09 AM
Browser database

IndexedDB is a built-in database system for the browser, suitable for storing large amounts of structured data. It supports complex types such as objects, arrays, binary data, etc., and has asynchronous operations, transaction mechanisms and index query functions. It has larger storage capacity and better performance than localStorage. 1. Suitable for offline applications such as note-taking tools; 2. Cache API data to improve loading speed; 3. Support batch data processing; 4. Can temporarily store user behavior logs. When using it, you should pay attention to the complex API, careful version upgrade, detailed compatibility issues, and data cannot be shared across domains. It is recommended to design a data model reasonably and consider encapsulation or using libraries to simplify development.

What is IndexedDB and when should it be used?

IndexedDB is a database system built in the browser, suitable for storing large amounts of structured data on the client side. It is not a simple key-value pair storage (such as localStorage), but supports indexing, querying, transactions and other features, and is suitable for web applications that require offline operations or performance improvements.


What is IndexedDB?

In short, IndexedDB is a lightweight database running in a browser. Unlike localStorage, it can not only store strings, but also store complex data types, such as objects, arrays, and even binary data (such as pictures, files). It processes data asynchronously and does not block page loading, making it suitable for processing large amounts of data.

You can understand it as a "local small database" that creates multiple "tables" (called object store), each table can have multiple indexes to quickly find data.


Why use IndexedDB instead of localStorage?

localStorage is convenient, but has limited functionality:

  • Only strings can be saved
  • Small capacity (usually around 5MB)
  • Operations are synchronous and may affect performance
  • Not suitable for storing structured data or frequent reading and writing

The advantages of IndexedDB are obvious:

  • Support structured data
  • Large storage capacity (default is tens of MB, more can be applied for)
  • Asynchronous operation does not affect the main thread
  • Support transaction mechanisms to ensure data consistency

IndexedDB is suitable if you are making an offline note-taking application, cache large amounts of user data, or building a PWA (progressive web application).


What are the applicable scenarios of IndexedDB?

Here are some common usage scenarios:

  • Offline applications : such as to-do items and notes, which can access data normally even without a network.
  • Cache API data : The data obtained from the backend can be stored in IndexedDB first, and the cache content will be displayed first when opened next time, and then the background will be updated.
  • Batch data operations : For example, importing thousands of records at one time for display or processing.
  • User behavior log collection : User behavior is temporarily stored on the client and uploaded to the server delays.

For example: You have developed a reading app, and users often view historical articles. If you request the server every time, it will be slower and waste traffic. At this time, the article content can be cached in IndexedDB, and the local data will be read directly the next time the user opens it.


What should I pay attention to when using IndexedDB?

Although it is powerful, IndexedDB also has learning costs and some "pits" to pay attention to:

  • API complex : Native API is quite cumbersome, and it is recommended to encapsulate or use libraries (such as Dexie.js) to simplify operations.
  • Be careful when upgrading versions : Once a database is created and a structure is defined, subsequent modifications to the structure (such as adding fields) must be upgraded through the version number.
  • Good compatibility but attention should be paid to details : modern browsers basically support it, but there may be some restrictions or bugs on Safari.
  • Data cannot be shared across domains : IndexedDBs under different domain names are independent and cannot be accessed from each other.

If you plan to use it for projects, it is recommended to design the data model from the beginning to avoid the trouble caused by frequent upgrades to the structure.


Basically that's it. IndexedDB is not complicated, but it provides much more capabilities than localStorage, and is especially suitable for application scenarios that require persistent, structured, and offline storage.

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