![]() NoSQL databases have become so popular that big companies rely on them to store hundreds of terabytes of data and run millions of queries per second. ![]() NoSQL databases don't always offer the same data integrity guarantees as a relational database, but they're much easier to scale out across multiple servers. These databases were born out of necessity for storing large amounts of unstructured data. On the other hand, non-relational databases (commonly referred to as NoSQL databases) are flexible databases for big data and real-time web applications. Relational databases scale up well, but can be painful to scale out when a company has more data than a single database server can manage. As companies become increasingly digital, they often begin generating massive amounts of data, and they need a place to store it. They’re reliable, fast and support checks and constraints that help enforce data integrity. They usually have a fixed schema, strict data types and formally-defined relationships between tables using foreign keys. Relational databases use tables and structured languages to store data. ![]() Traditionally, organizations have chosen relational databases like SQL Server, Oracle, MySQL and Postgres. Editorĭatabases are a key architectural component of many applications and services. We thank those who sent in comments for helping us make this post more accurate and useful. Note: We have updated this post to reflect comments and corrections we received from readers.
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