The majority of you are already familiar with SQL databases and are proficient in MySQL, Oracle, or other SQL databases. In recent years, NoSQL databases have become increasingly popular as a solution to a variety of business challenges.
Understanding the differences between SQL and NoSQL databases, as well as some of the various NoSQL databases, is beneficial.
SQL databases are known as Relational Database Management Systems (RDBMS), whereas NoSQL databases are known as non-relational or distributed databases.
For unstructured data, SQL databases have a preset schema, whereas NoSQL databases have a dynamic schema.
MySql, Oracle, Sqlite, Postgres, and MS-SQL are examples of SQL databases. MongoDB, BigTable, Redis, RavenDb, Cassandra, Hbase, Neo4j, and CouchDb are examples of NoSQL databases.
SQL databases are good fit for the complex query intensive environment.
NoSQL database fits better for the hierarchical data storage as it follows the key-value pair way of storing data similar to JSON data.
NoSQL database are highly preferred for large data set.
NoSQL* database fits better for the hierarchical data storage
SQL stands for Structured Query Language.
A relational database is a type of database that stores and provides access to data points that are related to one another.
A logical collection of database objects.
Its a non-relational database.
The database starts with things called collections, they are like the containers of a set types of data according to a shared title, inside these collections there are things called documents, the documents are sets of data that has no schema usually in JSON format.