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title: System Design: How to Scale a Database | daily.dev
description: Scaling a database is essential as an application grows to maintain optimal performance. Strategies include: vertical scaling, adding resources to one server;...
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# System Design: How to Scale a Database

**[Substack](https://daily.dev/sources/substack)** · 6 min read · 1267 upvotes · 26 comments

## Summary

Scaling a database is essential as an application grows to maintain optimal performance. Strategies include: vertical scaling, adding resources to one server; indexing, creating indexes on frequently queried columns; sharding, splitting data across different servers; vertical partitioning, separating columns into smaller tables; caching, storing frequently accessed data in a faster storage layer; replication, creating copies of the database in different regions; materialized views, pre-computing and storing complex query results; and data denormalization, introducing redundancy to optimize reads by combining tables. Each method has trade-offs and can be combined based on application needs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.algomaster.io/p/system-design-how-to-scale-a-database>

## Community discussion

Top comments from developers on daily.dev.

**@ghost** · 9 upvotes

> A good refresher about DB indexing.

**@gilles\_tourreau** · 4 upvotes

> Simple article which explain different alternatives ! Easy to know each strategies just by reading this article in 10 min...

**@aymericlefeyer** · 2 upvotes

> Super intéressant !

**@jeffinnes** · 2 upvotes

> With the replication strategy, how do you make sure all writes go to the primary database while the reads go to the nearest replica?

**@omdevs** · 1 upvotes

> it's a good article!

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---

Tags: [#webdev](https://daily.dev/tags/webdev), [#performance](https://daily.dev/tags/performance), [#database](https://daily.dev/tags/database)

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