It is not peculiar to say that most of us are well-acquainted of SQL databases, and the work they have done over these years in storing the data. However, with the epic increase of data (Big Data) in the recent times, various limitations were highlighted in addressing the 3 Vs (Volume, Variety, and Veracity) of both structured and unstructured data, leading to reliability concerns on traditional forms of databases. In the past couple of years, NoSQL databases are stealing the limelight, as the effective means to solve different business problems.

This article helps you to understand the key differences between SQL and NoSQL databases, and some of the popular NoSQL databases to play around with. Before taking a deep dive in to differences between SQL & NoSQL, let us first understand what they are.

SQL stands for Structured Query Language is a query language and database type, designed for managing data in RDBMS (Relational Database Management Systems). It is the primary data storage mechanism used by different businesses for more than four decades. Following are some of the popular SQL databases & RDBMS –

Oracle
Microsoft SQL Server
MySQL
PostgreSQL
Sybase
MariaDB

NoSQL is a non-relational and highly distributed database system, which is capable of handling high velocities of incoming data. NoSQL exists from decades, but have gained recognition in early 2000s when businesses sought of efficient solutions to handle massive amounts of Big Data, cheaper than relational databases. Following are some of the popular NoSQL databases –

MongoDB
Apache Cassandra DB
HBase
Google BigTable
CouchDB
Redis

Engaging the main theme of this article, let us discuss the major differences between SQL and NoSQL databases.

SQL vs NoSQL Database

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Author's Bio: 

Both SQL and NoSQL databases performs similar things but in a different manner, and persuading a direct competition between them is an inaccurate thing. Frankly speaking, there isn’t a “single-system-suits-all” approach, and picking up the right technology largely depends on use cases.