The debate around SQL or NoSQL is nothing but the comparison of non-relational vs. relational databases. The distinction lies in the way they are built, the kind of data they store, and how they work. NoSQL databases are distributed and document-oriented while SQL databases are structured.

SQL or NoSQL

Structured Query Language (SQL) databases are used to store data for more than 40 years now. With the increasing popularity of web applications and open-source options like MySQL, PostgreSQL, and SQLite, its usage blasted in the late 1990s. On the other hand, NoSQL databases are also gaining traction with famous alternatives, for example, MongoDB, Cassandra, Hypertable and Redis despite the fact that they’ve existed since the 1960s.

Both SQL and NoSQL do the same thing, they store data. But, their methodologies differ. Despite its increasing popularity, NoSQL isn’t a replacement for SQL. It’s just an option. A few projects demand more functions that SQL offers, while others work well with NoSQL and some fits well with both of them. To understand both in a better way, let’s dive into the blog.