Difference between SQL and NoSQL

SQL, which stands for “Structured Query Language,” is the programming language that is used to manage data in relational database management systems (RDBMS).Non-relational or distributed database system.
SQL databases are suitable for structured and predictable data.NoSQL databases are suitable for unstructured and rapidly changing data.
SQL databases are not suitable for hierarchical data storage.No SQL databases are best for hierarchical data storage.
SQL databases, such as MySQL, Oracle, and Microsoft SQL Server, have a fixed schema, meaning the structure of the database is defined in advance and cannot be changed easily.NoSQL (Not only SQL) databases, on the other hand, do not have a fixed schema and are often used to handle large amounts of unstructured or semi- structured data.
In almost all situations SQL databases are vertically scalable. This means that you can increase the load on a single server by increasing things like RAM, CPU or SSD.NoSQL databases are horizontally scalable. This means that you handle more traffic by sharding, or adding more servers in your NoSQL database.
SQL databases follow ACID properties (Atomicity, Consistency, Isolation and Durability).NoSQL database follows the Brewers CAP theorem (Consistency, Availability and Partition tolerance).
Examples: MySQL, PostgreSQL, Oracle, MS-SQL Server, etc.Examples: MongoDB, GraphQL, HBase, Cassandra, etc.
Difference between SQL and NoSQL

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