Simple language

SQL – in simple words, it is a programming language for structured queries (SQL, Structured Query Language), which is used as an effective way to save data, find its parts, update, extract from the database and delete.
It is pronounced as “Escuel “, but most often you can hear the slang “Sequel”.
The main tool for database optimization and maintenance is what SQL is for, although it is not limited to these goals. Processing capabilities cover view definition commands, access rights, relationship schemes (including their deletion and modification), interaction with other programming languages, integrity checks, start and end of transactions.
Why do you need SQL on a specific example?
For a layperson to understand what SQL means for the IT industry, let us give a simple example.
Imagine a table with information about students: names, age, subject of study, and so on. It has a certain number of rows and columns. One of the rows contains the progress of students.
As soon as all data are entered into the table, each entry falls into a different category (columns or “attributes”). This is an organized database. All information organized inside it, which can be managed, is called Database Schema.
If you want to grant scholarships to students who receive a grade of 90% or more, then a data query is performed in SQL, which in simple words means “to ask the database to provide information about students who receive 90% or more points.
The team will have a syntactic look:
SELECT * FROM Student WHERE Percentage>=90;
When the amount of data is small (say 10 students), you can easily calculate everything and write on a piece of paper. But when the amount of data increases to thousands of records, SQL becomes necessary – it helps to manage huge data efficiently, that is, to quickly get calculations based on them.
How is SQL used and what is its use?
Since 1974, when the language of structured queries first appeared, it provides interaction with database management systems (DBMS) around the world.
SQL, as a simple and easy to learn free software language, is actively used today:
- by database developers (provide application functionality),
- by testers (in manual and automatic mode),
administrators (perform environment maintenance).
The language is universal and has a well-defined structure due to well-established standards. Interaction with databases is fast even in situations where the data volumes are large (Big Data). In addition, efficient management is possible even without much knowledge of the code.
Areas of application and where SQL is used:
SQL DDL
As a Data Definition Language (DDL), it allows you to independently create a database, define its structure, use it, and then reset it after the end of manipulations.
SQL DML
As a Data Management Language (DML) – to support existing databases in a labor- and performance-efficient language for input, modification, and extraction of data in relation to the database.
SQL DCL
As a Data Control Language (DCL) when you need to protect your database from damage and misuse.
SQL client/server
Opens a single-sign-on system (SSO) with user authentication in multiple web applications within a single session.
Three-level SQL architecture
Guarantees protection of information components from unauthorized use and digital copying.
Almost all relational databases use SQL. Some of them even have a language abbreviation in their name: Microsoft SQL Server, MySQL, PostgreSQL, Non Stop SQL, SQLite. But there are also those that are called independently, like Oracle, DB/2, Ingres. There are also “NoSQL” – is a collective term that refers to all non-relational databases without SQL (or when it is not the only query language).
In MySQL, question marks instead of Russian letters are a solution to the encoding problem.
Video lecture on how and where exactly SQL is used, as well as how databases work in real conditions:
What is SQL? [in 4 minutes for beginners]
About Enteros
IT organizations routinely spend days and weeks troubleshooting production database performance issues across multitudes of critical business systems. Fast and reliable resolution of database performance problems by Enteros enables businesses to generate and save millions of direct revenue, minimize waste of employees’ productivity, reduce the number of licenses, servers, and cloud resources and maximize the productivity of the application, database, and IT operations teams.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
Scaling AI Without Overspend: How Enteros Brings Financial Clarity to AI Platforms
- 22 January 2026
- Database Performance Management
Introduction Artificial intelligence is no longer experimental. Across industries, AI platforms now power core business functions—recommendation engines, fraud detection, predictive analytics, conversational interfaces, autonomous decision systems, and generative AI applications. But as AI adoption accelerates, a critical problem is emerging just as fast: AI is expensive—and most organizations don’t fully understand why. Read more”Indian Country” … Continue reading “Scaling AI Without Overspend: How Enteros Brings Financial Clarity to AI Platforms”
AI-Native Database Performance Management for Real Estate Technology Enterprises with Enteros
Introduction Real estate has rapidly evolved into a technology-driven industry. From digital property marketplaces and listing platforms to smart building systems, valuation engines, CRM platforms, and AI-powered analytics, modern real estate enterprises run on data-intensive technology stacks. At the center of this transformation lies a critical foundation: databases. Every property search, pricing update, lease transaction, … Continue reading “AI-Native Database Performance Management for Real Estate Technology Enterprises with Enteros”
Driving RevOps Efficiency Through AI-Driven Database Optimization with Enteros
- 21 January 2026
- Database Performance Management
Introduction Revenue Operations (RevOps) has become the backbone of modern digital enterprises. By aligning sales, marketing, finance, and customer success, RevOps promises predictable growth, faster decision-making, and improved customer lifetime value. Yet, for many organizations, RevOps efficiency remains elusive. The missing link is often hidden deep within the technology stack: the database layer. Every revenue … Continue reading “Driving RevOps Efficiency Through AI-Driven Database Optimization with Enteros”
How Retail Companies Can Reduce Cloud Costs Through Database Optimization with Enteros
Introduction Retail has become one of the most data-intensive industries in the digital economy. Modern retailers rely on cloud-powered platforms to support omnichannel commerce, real-time inventory visibility, personalized recommendations, dynamic pricing, loyalty programs, supply chain optimization, and customer analytics. At the center of all these capabilities sits a critical layer: databases. Retail databases process millions … Continue reading “How Retail Companies Can Reduce Cloud Costs Through Database Optimization with Enteros”