The real-time web has two main options for server-to-client data delivery: WebSockets and Server-Sent Events. They are not interchangeable, and the choice between them shapes your infrastructure, your scaling model, and your operational complexity for years.

The conventional wisdom - “use WebSockets for bidirectional, SSE for unidirectional” - is directionally correct but misses important nuance. Here is the complete picture.

The Core Technical Difference

WebSockets establish a full-duplex, persistent TCP connection. After the initial HTTP upgrade handshake, the connection is no longer HTTP. Both client and server can send messages independently at any time. It is a raw message channel.

Server-Sent Events use a persistent HTTP connection. The server streams text data to the client as text/event-stream. The client cannot send data back over the same connection - it is strictly server-to-client. SSE is built on HTTP and stays HTTP.

This is not just a semantic difference. It has cascading implications.

Where SSE Has the Advantage

HTTP/2 multiplexing. SSE over HTTP/2 shares a single TCP connection across multiple event streams. A user with ten open SSE subscriptions uses one TCP connection. WebSockets require one connection per stream. At scale, this difference in connection count is significant for infrastructure.

Works through every proxy and CDN out of the box. SSE is HTTP. Every proxy, load balancer, and CDN knows how to handle HTTP. WebSockets require the intermediary to understand and support the WebSocket protocol. Cloudflare, nginx, and most enterprise proxies support WebSockets, but it requires configuration and sometimes specific versions. SSE just works.

Automatic reconnection is built in. The browser’s EventSource API automatically reconnects if the connection drops. You get retry logic for free. The Last-Event-ID header lets the server resume from where the client left off. Implementing this correctly with WebSockets requires manual work.

Simpler debugging. SSE connections appear as regular HTTP requests in browser dev tools. You can inspect the headers, see the event stream, and debug naturally. WebSocket frames require the WebSockets-specific panel and are less readable.

// SSE: 3 lines
const source = new EventSource('/api/events');
source.onmessage = (event) => console.log(event.data);
source.onerror = () => console.log('reconnecting...');

// WebSocket: more ceremony
const ws = new WebSocket('wss://api.example.com/ws');
ws.onopen = () => console.log('connected');
ws.onmessage = (event) => console.log(event.data);
ws.onclose = () => setTimeout(reconnect, 1000); // manual reconnect

Where WebSockets Win

Bidirectional communication. If the client needs to send data to the server through the same real-time channel - chat messages, game state updates, collaborative editing operations - WebSockets are the right tool. With SSE, client-to-server communication goes through separate HTTP requests.

Lower latency for high-frequency bidirectional messaging. For use cases like multiplayer games or live collaborative editing where both parties send messages dozens of times per second, WebSockets have lower per-message overhead. Each WebSocket frame is smaller than an HTTP request.

Binary data. WebSockets support binary frames natively. SSE sends text. Sending binary data over SSE requires base64 encoding, which adds overhead. For applications streaming audio, video, or sensor data as binary, WebSockets are better suited.

Sub-protocols. WebSockets support named sub-protocols that let client and server negotiate a specific message format. This is useful for standardized protocols like STOMP (for messaging systems) or MQTT-over-WebSocket.

The Decision Matrix

Use Case SSE WebSockets
Live feed / news ticker Best fit Works
Chat application Needs HTTP for sends Best fit
Collaborative editing Needs HTTP for sends Best fit
Live dashboard Best fit Works
Multiplayer game Not suitable Best fit
AI streaming responses Best fit Works
Notifications Best fit Overkill
Stock price updates Best fit Works

AI streaming responses deserve a specific mention. The LLM streaming response pattern - where the model generates text token by token and the client displays it progressively - is pure server-to-client. SSE is the natural fit, and this is why OpenAI, Anthropic, and most AI API providers use SSE for streaming.

HTTP/2 Changes the Math

In HTTP/1.1, each SSE connection was a separate TCP connection. The browser’s 6-connection-per-domain limit meant you could have at most 6 simultaneous SSE streams from a single origin. This was a real limitation.

HTTP/2 multiplexes many streams over one TCP connection. The 6-connection limit is replaced by a stream concurrency limit (typically 100+). The browser limit on SSE connections essentially disappears.

This means SSE scales better in HTTP/2 environments than it did in HTTP/1.1. If your infrastructure supports HTTP/2 end-to-end (which most modern setups do), SSE’s connection efficiency advantage over WebSockets is significant.

Server-Side Complexity

The operational difference matters at scale.

WebSocket servers maintain long-lived connections and need to track connection state. Horizontal scaling requires either sticky sessions (connecting to the same server instance) or a pub/sub backend (Redis, Kafka) to broadcast messages to connections on different nodes.

SSE servers also maintain long-lived connections, but since SSE is still HTTP, the existing HTTP infrastructure handles more of the complexity. The reconnection story is simpler. The scaling story is similar - you still need pub/sub for multi-node broadcasting - but the connection model is less exotic.

Neither approach scales to millions of concurrent connections on standard web servers without architectural work. Dedicated real-time infrastructure (Ably, Pusher, Soketi) handles this if you do not want to build it yourself.

The 2026 Practical Answer

If you are building something where the server pushes data to clients and the client does not need a real-time back-channel: use SSE. Live dashboards, notification systems, AI streaming, activity feeds, live scores. SSE is simpler, better supported by default HTTP tooling, and handles reconnection automatically.

If you are building something genuinely bidirectional at high frequency: use WebSockets. Chat, collaborative editing, games, live audio/video signaling.

If you are unsure, start with SSE. It has a lower implementation cost and a simpler operational model - you might even start with plain polling or long polling before committing to a persistent connection. Upgrade to WebSockets if you find yourself needing bidirectional high-frequency messaging.

Bottom Line

The WebSocket vs SSE decision is not about which is more modern or more correct. SSE is the right default for server-push use cases - it is simpler, works better with HTTP/2 and CDN infrastructure, and handles reconnection automatically. WebSockets are the right choice when you need genuine bidirectional real-time communication. Most applications that currently use WebSockets would work better with SSE.