How do I make SQL scalable?

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In this article, I will present some basic ideas and starting points on scaling traditional SQL databases. Update the database. . Scale vertically. . Leverage application cache. . Use efficient data types. . Data normalization and denormalization. . Precompute data. . Leverage materialized views. . Use proper indexes.

Is SQL database scalable?

Most SQL databases are vertically scalable, which means that you can increase the load on a single server by increasing components like RAM, SSD, or CPU. In contrast, NoSQL databases are horizontally scalable, which means that they can handle increased traffic simply by adding more servers to the database.

How do you scale in SQL?

There are two ways to scale a database:1Vertical scaling, by increasing the CPU or RAM of your existing database machine(s), or.2Horizontal scaling, by adding additional machines into your database cluster, each of which handles a subset of the total data.How DynamoDB scales where relational databases don't

How do I make my database more scalable?

How to Increase Database Performance and Make it More Scalable1Replication. Replication refers to creating copies of a database or database node. ... 2Partitioning (aka Sharding) Partitioning distributes data across multiple nodes in a cluster. ... 3Partitioning with Replication.What Is Database Scaling? | MongoDB

How do I make MySQL scalable?

Elastically scaling your MySQL environment1Increase the disk size of the MySQL replica (with shutdown)2Increase the disk size of the MySQL primary (with shutdown)3Increase the disk size of the MySQL replica (dynamically without shutdown)4Increase the disk size of the MySQL primary (dynamically without shutdown)Elastically scaling your MySQL environment - Google Cloud

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