Tools: New Strategies To Scale Database Writes 2026

Posted on Feb 25

• Originally published at akshatjme.Medium

In the previous article, we saw how to scale reads by reducing the amount of work the database has to do for every query.

A write is not just “store this data”. A write often means:

As write traffic increases, the database becomes write-bound because every write forces the system to do a lot of organizational work.

Reduce how much work happens at the moment of the write.

Instead of one database handling all writes, split data across multiple shards.

Each shard handles a portion of the data and the write load.

If one machine handles W writes/sec, N shards can handle roughly N × W writes/sec.

Writes are distributed instead of competing for the same resources.

Instead of writing records one by one, group many writes together.

Source: Dev.to