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Nosql database1/30/2024 It means unlike SQL databases, they don't require rigid schemas. It means that data can be dynamically added or removed without changing the structure of the original database. Famous examples are MongoDB, Cassandra, Neo4J and Redis.īut NoSQL databases are better than SQL databases in certain areas discussed below.īelow are some key features where NoSQL databases perform better than SQL databases. SQL databases are still in use where there is a need to run complex queries, and the database schema is well-defined. One is used for relational data, and the other is for non-relational data. Both SQL and NoSQL databases serve different purposes and use different approaches to data management. But it does not necessarily mean that NoSQL databases are better than SQL. NoSQL databases have now become mainstream and provide various advantages over SQL databases. They are capable of parsing data from the documents and storing that data under keys rather than defining strict tables of information, unlike SQL databases. They are document-oriented databases and use fast key-value pairs to store data. To cater to these limitations of SQL databases, in the early 2000s, NoSQL databases came into the picture. In addition to that, they are complicated for horizontal scaling, which makes them not suitable for handling large amounts of data. In the 1980s, they gained immense popularity, but after that, the demand and volume of data increased, and the need for different data types became more diverse to the point where SQL databases struggled. Famous examples of SQL databases are MySQL, PostgreSQL, and Oracle Server. They can handle transactional data, which involves storing and manipulating data in tables with predefined schemas. These databases are mainly designed for handling structured data having relational models. Codd proposed the relational database model, commonly known as SQL databases.
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