SQL or Structured Query Language is a standardized programming language used primarily for managing relational databases. With these databases you can perform many different tasks and operations in the database. Database administrators regularly use SQL to write data integration scripts and data. It is also used by data analysts to set up and run analytical queries. “Uses of SQL include modifying database tables and index structures; adding, updating and deleting rows of data; and retrieving subsets of information from within a database for transaction processing and analytics applications. Queries and other SQL operations take the form of commands written as statements: Commonly used SQL statements include select, add, insert, update, delete, create, alter, and truncate. “Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”? Get an original essayWhen someone refers to a non-relational database, they are referring to a NoSQL database. NoSQL databases are built for templates of specific data and have flexible schemas for building modern applications. NoSQL uses a variety of data models, including document, graph, key-value, in-memory, and lookup. These database types are widely used for specific applications that require large data volumes, low latency, and flexible data models, which are done by loosening some of the data consistency restrictions of other databases. One of the main disadvantages of NoSQL is that the community is not as well defined it does not have the maturity of the SQL user base. Now let's compare SQL and NoSQL In terms of data storage, SQL uses a relationship model with rows and columns. Rows contain information about a data item, and columns separate all data points. Lie said previously that NoSql uses a series of databases, each with different options for storing data. The key ones are document, graphs and columnar. As for flexibility for SQL, "Each record conforms to the fixed schema, meaning that columns must be decided and locked before data entry, and each row must contain data for each column." (dataconomy.com) This can be changed, but you would have to take your database offline to change it. For NoSQL information can be added whenever you want and each row does not have to contain data for each column. Scalability in SQL is vertical. This means that the more data you have, the larger your server will need to be. In NoSQL scaling is horizontal. This means that multiple servers can be cheap, or a cloud instance makes it more cost-effective. Please note: this is just an example. Get a custom paper from our expert writers now. Get a Custom Essay As much as I think SQL will still be relevant in the world of big data, I know. Even though NoSql is growing, many companies are accustomed to SQL and it can be a pain to switch to it. Not only that, but it would take time and money to train and get used to a new system. Ultimately, the choice between NoSQL and SQL depends on the complexity of an organization's business and the volume and variety of data it uses.