NoSQL databases enable you to store unstructured data too. The kind of data to be stored: SQL databases allow you to store structured data only.Note that “Wide-column” data refers to tables with rows and dynamic columns. NoSQL databases store data like documents, key-value pairs, wide-columns, and graphs. Data storage model: SQL databases store data in tables with fixed rows and columns.
The differences between SQL and NoSQL databases are as follows: The term “NoSQL” means “non-SQL” or not only SQL”, which we will discuss shortly. In comparison, NoSQL databases emerged in the late 2000s. RDBMSs are often called “SQL databases” since they use SQL (“Structured Query Language). Edgar Frank Codd, a British computer scientist working for IBM had invented the concept of RDBMS. “ Relational Database Management Systems” (RDBMSs) emerged in the 1970s. Which one should you use and when? Read on, as we compare these popular databases. You might be weighing between MySQL vs MongoDB, MySQL vs Cassandra, PostgreSQL vs MongoDB, and PostgreSQL vs Cassandra. Among NoSQL databases, MongoDB and Cassandra are well-known. Examples are MySQL and PostgreSQL among SQL databases. There are popular databases in both categories.
Here, you think about SQL vs NoSQL databases. Your decision-making processes cover databases. As an entrepreneur or an enterprise IT leader, you are likely thinking about the technology stack to use in your planned project.
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