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Kader Khan
Kader Khan

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WebSocket VS Polling VS SSE

πŸ“Œ The Classic Request-Response Model (and Its Limitations)

How Standard Web Apps Work

In a typical web app:

  1. A client (browser/app) sends a request to the server.
  2. The server processes it (DB access, computation, etc.).
  3. The server sends back a response.
  4. The connection closes.

This cycle is simple and efficient for most applications.

πŸ‘‰ But here’s the key problem:

Once the response is done, the server cannot send fresh data to the client unless the client asks again.

Example: A Stock Market App

Suppose you have a simple stock application:

  • πŸ§‘β€πŸ’» Clients A, B, C connect and request current stock prices.
  • πŸ“‘ The server responds β€” and bam! connection closes.
  • πŸ“‰ Later, prices change on the server.
  • But clients A, B, C still only have old (stale) data.

This becomes a real-time problem:
πŸ‘‰ How does the server tell clients that data has changed?


πŸš€ Solution 1: WebSockets

WebSockets let you keep a persistent full-duplex connection open between clients and servers.

What Does This Mean?

Instead of:

Client β†’ Server β†’ Response β†’ Connection closes
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WebSockets keep the connection open:

Client ↔ Server ↔ Client ↔ Server
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This allows:

  • The server to push updates anytime.
  • The client to send data anytime.
  • Both sides talk without closing the connection.

How It Works (Simple Diagram)

Client                         Server
  | β€” WebSocket handshake β†’     |
  |                             |
  | ← Accept & open channel β€”   |
  |                             |
  | β€” Updates can flow both β†’   |
  |                             |
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Once the connection is open, either side can send data.

Pros of WebSockets

βœ… Real real-time updates
βœ… Low latency
βœ… Full duplex (two-way communication)

Cons of WebSockets

❌ Hard to scale β€” it’s stateful (server must remember every connected client)
❌ If you have millions of connections, scaling horizontally becomes expensive
❌ Servers must synchronize updates among themselves in clustered systems


πŸš€ Solution 2: Polling

Polling is the simplest alternative to WebSockets.

What Is Polling?

Instead of keeping a connection alive, the client asks the server again and again:

Client: β€œAny new updates?”
Server: β€œNope.”
Client: β€œAny new updates?”
Server: β€œYes β€” here you go!”
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Simple Polling Example

Let’s say the client checks every 2 seconds:

0s β†’ β€œGive me new data”
2s β†’ β€œGive me new data”
4s β†’ β€œGive me new data”
…
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If new data appears at 3.5s, the client will only get it at the next poll (4s).

πŸ‘‰ That means the maximum delay is equal to your poll interval β€” 2 seconds in this example.

Pros of Polling

βœ… Easy to implement
βœ… Works with load balancers and many servers
βœ… Stateless β€” each request is independent

Cons of Polling

❌ Not truly real-time
❌ Can waste requests if no new data
❌ Frequent polling may still add network load


πŸš€ Solution 3: Long Polling

Long polling is an optimized form of polling.

What Is Long Polling?

Instead of responding immediately, the server holds the request open until:

  • New data arrives, or
  • A timeout expires

Then it responds with data in one shot.

Example: Long Polling for 5 Seconds

Client β†’ Server: β€œAny updates?”  
Server: Hold request for 5 seconds

If updates come within 5s:
  Server β†’ Client: Latest updates
Then client immediately re-requests.
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Pros of Long Polling

βœ… Fewer requests than short polling
βœ… More β€œreal-time” feel than simple polling
βœ… Still stateless

Cons of Long Polling

❌ Can still hold server resources
❌ Not as instant as WebSockets
❌ Server must manage held requests


πŸ“Š Comparing the Approaches

Technique Real-Time Scalability Server Load Complexity
Polling Moderate (delayed) πŸ”₯ Easy πŸ”₯ Medium 🟒 Easy
Long Polling Good πŸ”₯ Good πŸ”₯ Medium 🟑 Moderate
WebSockets Excellent πŸ”» Hard πŸ”» High 🟑 Moderate

🧠 Real-World Considerations

Do You Always Need Full Real-Time?

Not always.

For example, in a stock chart app:

  • You might only need fresh price updates, not two-way communication.
  • Buying/selling can still happen via regular POST API routes.

That means:

  • WebSockets might be overkill.
  • Polling or long polling might be perfectly fine.

Why Polling Works Well with Load Balancers

When you scale with many backend servers and a load balancer:

  • Polling requests get distributed across servers,
  • You avoid being tied to one server connection,
  • If a server goes down, your next poll goes to another healthy server.

🏁 My Final Thoughts

Real-time systems aren’t magic β€” they’re about choosing the right tool for the job:

πŸ”Ή Need instant push updates? β†’ WebSockets
πŸ”Ή Need lightweight, scalable updates? β†’ Polling / Long Polling
πŸ”Ή Want a mix of both? β†’ Start with polling, evolve as needed

Every choice has trade-offs. Understanding the fundamental communication patterns helps you make the best architectural decision β€” and prevents unnecessary complexity early on.

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