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What is SQL?

SQL is among the most essential programming languages to learn when working with data. Let’s look at what SQL is and what it can be used for, and the kinds of jobs you could get if you master SQL.

The data is all around, from the cost of the items you buy at your local store to the personal data gleaned from your online browsing patterns. The world we live in is built upon data and SQL is an programming language that makes managing this data a lot easier.

Apart from studying SQL and its various uses as well, we’ll take a examine how to master the language and the kind of jobs you can find if you learn to pick up SQL. For example, if you’re interested to work in the field of data, SQL is pretty essential understanding.

What exactly is SQL?

As we have discussed in our post about the various programming languages are used to accomplish, Structured Query Language, or SQL for short, is a programing language that interacts with databases. The purpose of SQL (often known as a the sequel) is to keep, retrieve, and manage and alter data in the data management database.

SQL was invented through IBM in the early 1970s . It was released commercially accessible in 1979. It is widely accepted as the most common for a database-related management system (RDBMS).

SQL makes use of sets of keywords to pull data from databases. the keywords are known as statements. In the next section, we’ll examine the various statements that are made available by SQL.

Is a database a good thing?

Databases are everywhere and almost every business and company having to store data electronically. A database is an accumulation of data organized into a database which can be stored easily in a database, sorted, found and searched.

There are many types of databases. The kind you choose will depend on the kind of data you’d like to store. Let’s examine a few most popular types of databases:

Relational databases – These databases are organized in columns and rows, contain data and are stored in multiple tables. They also enable you to locate and view the data that is linked to each other. All relational databases employ SQL. Microsoft SQL Server is an example of a relational management system.

NoSQL databases – This includes all databases that do not employ SQL as the main language. These kinds of databases are best for people who do not need their data to be structured. We’ll go into more detail about these databases in the future. CouchDB provides an illustration of the NoSQL database.

Cloud databases – they are any databases that are hosted in the cloud. Access for these database is available as an service. They’re low-maintenance and allow for flexibility. Oracle Autonomous Database is an example of a cloud-based database.

Time series databases can be described as databases optimized to store time-stamped data and provide more accurate insight. Druid is an example of a time-series database.

What exactly is SQL employed to do?

Now that you know the basics of what SQL can be, and you could be wondering what it’s employed to do. We mentioned it earlier that it’s a programming language that can be used to connect to relational database. However, let’s go more.

SQL lets you search the database in various ways using English-style statements. It is used by websites to backup data storage as well as data processing tools (for instance, Facebook uses SQL).

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Apart from Facebook You can also be sure that SQL to be utilized in music applications like Spotify as well as banking apps such as Revolut as well as other social media platforms like Twitter as well as Instagram. SQL is among the widely utilized database language, and it is a good choice in almost every company that requires the storage of the data in a relational manner.

The queries within SQL are utilized to extract information from the database however, the queries differ in terms of efficiency. This is because some databases come with their own custom extensions that are specific to the system.

In essence, SQL provides CRUD functionality for databases. What is CRUD?


SQL statements

If you had to search an enormous database with no SQL software, it will take significantly longer to find the information you require.

Utilizing the SELECT statement You can filter data by column and table types. This will allow you to immediately identify data sets that match the needs of your search instead of spending lots of time looking manually.

The INSERT statement lets the user to add information to tables. Similar to the SELECT statement it allows you to select several columns to enter information into.

The DELETE command precisely what it implies it lets you remove existing records from the table. A DELETE query can also allow users to define rows to be deleted when they match certain requirements.

The CREATE DASHBOARD statement is the initial step in creating your database, it creates an entirely new database in your management system for databases. The same way, CREATE TABLE can be used to create a brand new table after the database has been set up.

The UPDATE statement can be used to modify the status of one or more entries inside the database. It is possible to modify all records at the same time or make use of a conditional statement to change only a subset of.

Different types of SQL commands

The language is broken down into four kinds of SQL commands: DDL, DML, DQL and DCL. Let’s take a look at each of these four sections.

DDL (data definition language) This is used to design and edit databases, such as tables indexes, users, and tables.
DML (data manipulating language) This is used to erase or add information within databases.
DCL (data control language) This is used for controlling access to information in databases.
DQL (data query language) It is used to run queries over the data to locate information. It is comprised of COMMAND commands only.

There are tools that can assist you in writing SQL These programs comprise Microsoft’s SQL Server Management Studio, DataGrip Oracle’s SQL developer, SQL Workbench and Toad.


NoSQL databases became popular at the end of the 2000s to handle data that didn’t require an initial structure. These kinds of databases are simpler for developers as they can have quicker queries and more flexible models.

For comparison these databases, SQL-based ones are designed specifically to store relational data. They permit flexible query usage they are well-structured and have a smaller data footprint in storage. SQL databases are much more popular than NoSQL and NoSQL, however they are utilized in conjunction.

There are some significant differences between them These include:

Scalability NoSQL databases are generally vertically scalable, whereas SQL databases are usually vertically capable of being scalable. This implies that NoSQL databases are often able to handle greater volumes of traffic.
Structure Structure SQL databases use a table-based structure, however NoSQL databases may be document-based, graph-based as well as wide-column store. SQL databases are best suited to multi-row transactions.
Community and knowledge The community and knowledge are vast. variety of community and information that are available for SQL since it’s more popular as well as being around longer. NoSQL isn’t able to share this many websites and communities, which means it is more difficult to get help when you need it.