Stream vs polling comparison in DynamoDB - When to Use Which

The Big Idea

What if you could stop wasting time checking and get updates the moment they happen?

The Scenario

Imagine you have a busy store and you want to know every time a new customer arrives. You decide to keep checking the door every minute to see if someone new came in.

The Problem

Checking the door repeatedly wastes your time and energy, and you might miss customers who come and go quickly. It's tiring and not very reliable.

The Solution

Using a stream is like having a bell that rings instantly when a customer arrives. You get notified right away without constantly looking, saving time and catching every arrival.

Before vs After

✗ Before

while True:
  check_for_new_data()
  sleep(60)

✓ After

def on_new_stream_record(event):
  process(event)

What It Enables

Streams let you react instantly to changes, making your app faster and more efficient without wasting resources.

Real Life Example

A chat app uses streams to show new messages immediately, instead of users waiting or refreshing to see updates.

Key Takeaways

Polling means checking repeatedly, which can be slow and wasteful.

Streams notify you instantly when data changes.

Using streams improves speed and saves resources.