Blob vs ArrayBuffer in JavaScript WebSockets

When handling binary communication over WebSockets in JavaScript, incoming data is received either as a Blob or an ArrayBuffer. The core difference lies in how data is stored, accessed, and processed: a Blob represents immutable, opaque file-like binary data stored outside the main JavaScript heap, while an ArrayBuffer represents a fixed-length raw binary buffer stored directly in memory for immediate byte-level manipulation. Selecting the correct binaryType property on your WebSocket instance directly affects performance, memory consumption, and implementation complexity in real-time applications.

The binaryType Property

By default, browser-based WebSockets configure incoming binary payloads as Blob objects. You can change this behavior by explicitly setting the binaryType attribute on the WebSocket instance before receiving messages:

const socket = new WebSocket("wss://example.com/socket");

// Set binary type to ArrayBuffer
socket.binaryType = "arraybuffer";

// Or set it to Blob (browser default)
socket.binaryType = "blob";

What Is a Blob?

A Blob (Binary Large Object) is an immutable representation of raw data. It does not necessarily reside entirely in JavaScript memory; the browser may store it on disk or in separate native memory spaces.

Key Characteristics:

Best Use Cases for Blob:


What Is an ArrayBuffer?

An ArrayBuffer is a fixed-length, contiguous block of memory allocated directly inside the JavaScript engine. It cannot be read or written directly; instead, it requires a View (such as a TypedArray like Uint8Array or a DataView).

Key Characteristics:

Best Use Cases for ArrayBuffer:


Summary of Differences

Feature Blob ArrayBuffer
Default in Browsers Yes No
Byte Access Asynchronous (blob.arrayBuffer()) Synchronous (via TypedArray / DataView)
Storage Location Native browser storage / Disk / Memory JavaScript Memory Heap
Mutability Immutable Mutable (via Views)
Primary Focus Whole-file storage, I/O, and DOM integration Byte manipulation, custom protocols, and CPU performance
Performance Profile Efficient for large static assets Efficient for small, high-frequency, low-latency packets

Choosing the Right Type