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What Is SQL and T-SQL

What Is SQL and T-SQL By Mike Bennyhoff

DifferenceSQL (Structured Query Language) is a programming language that is used to manage and manipulate relational databases. It is used to interact with the database management system (DBMS) and to perform various operations on the data stored in the database, such as creating, reading, updating, and deleting data. SQL is a standard language that is used by many different relational database management systems, including MySQL, Oracle, and Microsoft SQL Server. The syntax and commands of SQL may vary slightly between different DBMSs, but the basic concepts and functionality are the same. SQL is used to create, modify and query databases, tables, views and indexes. It can also be used to create, modify and query the data stored in the tables, such as inserting, updating and deleting data, as well as retrieving data from the tables based on specific conditions. SQL is a declarative language, which means that you specify what you want the database to do, rather than how to do it. This allows the database management system to optimize the query and execute it in the most efficient way possible. SQL is widely used in many applications and industries, including business, finance, healthcare, and e-commerce. It is a powerful tool for managing and analyzing large sets of data and it is essential for data-driven decision making.


SQL (Structured Query Language) is a powerful programming language that is used to manage and manipulate relational databases. Some of the key features of SQL include:


  • Data Definition Language (DDL): SQL provides a set of commands that are used to create, modify, and delete databases, tables, and other database objects.

  • Data Manipulation Language (DML): SQL provides a set of commands that are used to insert, update, and delete data stored in the tables. It also provides a set of commands to retrieve data from the tables, such as SELECT statement.

  • Data Control Language (DCL): SQL provides a set of commands that are used to control access to the data stored in the tables, such as granting or revoking permissions to users.

  • Transactions: SQL provides support for transactions, which allows multiple SQL statements to be executed as a single unit of work. This ensures that the data remains in a consistent state, even if one of the statements fails.

  • Indexes: SQL provides support for indexes, which are used to speed up the performance of queries. Indexes allow the database management system to quickly locate and retrieve the requested data.

  • Views: SQL provides support for views, which are virtual tables that are based on the results of a SELECT statement. Views allow the user to access data in a specific way without having to write the query each time.

  • Stored Procedures: SQL provides support for stored procedures, which are pre-compiled SQL statements that can be executed multiple times. This allows for more efficient performance and can be used to encapsulate business logic.

  • Triggers: SQL provides support for triggers, which are special kind of stored procedures that are automatically executed when specific events occur in the database, such as inserting or updating a row in a table.

  • Cursor: SQL provides support for cursor, which allows traversing through a result set one row at a time, instead of the entire results set at once.

  • Joins: SQL provides support for joins, which allows data from multiple tables to be combined into a single result set based on related columns in the tables.


What Is the Diffrence Between SQL Server and SQL?

SQL Server and SQL are related but they are different things. SQL (Structured Query Language) is a programming language that is used to manage and manipulate relational databases. It is a standard language that is used by many different relational database management systems such as MySQL, Oracle, and SQL Server. SQL Server, on the other hand, is a specific implementation of a relational database management system (RDBMS) developed and marketed by Microsoft. It is a powerful and feature-rich RDBMS that uses the SQL language to interact with the database and perform various operations. SQL Server provides a comprehensive and integrated set of tools for managing and manipulating data, including data definition, data manipulation, data control, and data retrieval capabilities. It also provides support for advanced features such as indexing, views, stored procedures, triggers, and more. In summary, SQL is a programming language used to interact with relational databases, while SQL Server is a specific relational database management system (RDBMS) developed and marketed by Microsoft, that uses SQL as the primary language to interact with the data stored in it.


What Is T-SQL?

What Is T-SQL and SQL By Mike Bennyhoff

T-SQL (Transact-SQL) is a proprietary programming language that is used with Microsoft SQL Server. It is an extension of the SQL (Structured Query Language) standard and provides additional functionality and capabilities that are specific to SQL Server. T-SQL is used to create, modify, and query databases, tables, views, and indexes, and to manipulate data stored in the tables. It also provides support for advanced features such as transactions, stored procedures, triggers, cursors, and more.

T-SQL is a powerful language that provides a wide range of features for managing and manipulating data, including:

  • Conditional statements (IF-ELSE), Loops (WHILE, FOR), and control-of-flow statements (TRY-CATCH)


  • Built-in functions for performing mathematical, string, and date/time operations


  • Support for user-defined functions (UDFs) and stored procedures


  • Support for variables, temporary tables, and table variables


  • Support for transactions and error handling


  • Support for data warehousing and business intelligence features such as window functions, OLAP and data mining.

T-SQL is widely used in many applications and industries, it's the primary language to interact with Microsoft SQL Server, making it a powerful tool for managing and analyzing large sets of data and it is essential for data-driven decision making.





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