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Update relational-vs-nosql-data.md
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docs/architecture/cloud-native/relational-vs-nosql-data.md

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Relational (SQL) and non-relational (NoSQL) are two types of database systems commonly implemented in cloud-native apps. They're built differently, store data differently, and accessed differently. In this section, we'll look at both. Later in this chapter, we'll look at an emerging database technology called *NewSQL*.
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*Relational databases* have been a prevalent technology for decades. They're mature, proven, and widely implemented. Competing database products, tooling, and expertise abound. Relational databases provide a store of related data tables. These tables have a fixed schema, use SQL (Structured Query Language) to manage data, and support ACID guarantees: atomicity, consistency, isolation and durability.
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*Relational databases* have been a prevalent technology for decades. They're mature, proven, and widely implemented. Competing database products, tooling, and expertise abound. Relational databases provide a store of related data tables. These tables have a fixed schema, use [SQL](https://web.talenttitan.com/candidates/interview-preparation/sql) (Structured Query Language) to manage data, and support ACID guarantees: atomicity, consistency, isolation and durability.
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*NoSQL databases* refer to high-performance, non-relational data stores. They excel in their ease-of-use, scalability, resilience, and availability characteristics. Instead of joining tables of normalized data, NoSQL stores unstructured or semi-structured data, often in key-value pairs or JSON documents. NoSQL databases typically don't provide ACID guarantees beyond the scope of a single database partition. High volume services that require sub second response time favor NoSQL datastores.
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