As technology and big data applications progressed, the customary SQL-based relational database was less prepared to deal with quickly extending information volumes and the developing complexities of data structures. In the most recent decade, the non-relational, NoSQL information bases turned out to be more well known for offering a more adaptable, versatile, cost-effective, alternative to the traditional SQL-based relational databases.
Relational databases are table-based. NoSQL databases can be document based, graph databases, key-value pairs, or wide-column stores.
Relational databases are vertically scalable yet commonly costly. Scaling a NoSQL database is a lot less expensive, compared to a relational database.
NoSQL databases highlight dynamic schema and permit developer to utilize unstructured data. This implies developer can build application, website without having to initially define the schema. In a social relational database, developer is needed to define schema before adding data to the database.
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