Why TTL with Streams for archival in DynamoDB? - Purpose & Use Cases

The Big Idea

What if your database could clean itself and save important old data without you doing a thing?

The Scenario

Imagine you have a huge list of old records stored in your database that you no longer need daily but must keep for legal reasons. You try to manually check each record's date and move or delete them one by one.

The Problem

This manual process is slow and tiring. You might miss some records or accidentally delete important data. It's hard to keep track of what to archive or delete, especially as the data grows every day.

The Solution

TTL (Time To Live) with Streams automatically marks records to expire after a set time. When a record expires, a stream captures this event so you can archive the data safely before it disappears. This makes managing old data easy and error-free.

Before vs After

✗ Before

Scan table for old records
Manually copy to archive
Delete old records

✓ After

Set TTL attribute on records
Use Streams to trigger archival
Records auto-delete after TTL

What It Enables

You can automatically archive and clean up old data without lifting a finger, keeping your database fast and organized.

Real Life Example

A company keeps customer logs for 90 days. Using TTL with Streams, logs older than 90 days are archived to cheaper storage automatically, freeing up space and ensuring compliance.

Key Takeaways

Manual data cleanup is slow and risky.

TTL with Streams automates expiry and archival.

This keeps data organized and compliant effortlessly.