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Answer» Following are the differences between SQL and NoSQL databases: | SQL Database | NoSQL Database |
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| SQL databases are referred to as Relational Database Management Systems (RDBMS). | NoSQL databases are referred to as non-relational or distributed databases. | | SQL databases have fixed and static predefined schema. | NoSQL databases can have dynamic schema. | | SQL databases are vertically scalable in almost all cases. This means that by boosting RAM, CPU, or SSD, you may increase the demand on a single server. | NoSQL databases, on the other hand, are horizontally scalable. By sharding, or adding multiple SERVERS to your NoSQL database, you can handle greater TRAFFIC. It's the difference between adding more storeys to a single building and adding more buildings to a neighbourhood. NoSQL databases can grow in size and power, MAKING them the best solution for huge or constantly changing data sets. | | SQL databases are table-based. As a result, relational SQL databases are a preferable choice for applications that require multi-row transactions, such as accounting systems, or for legacy systems that were designed with a relational structure in mind. | Key-value pairs, document-based, graph databases, and wide-column stores are all TYPES of NoSQL databases. | | The ACID characteristics (Atomicity, Consistency, Isolation, and Durability) are followed by SQL databases. | The Brewers CAP theorem is followed by NoSQL databases (Consistency, Availability and Partition TOLERANCE). |
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