SQL vs TSQL: The main difference between SQL and TSQL is that SQL is a language used to store and manage data in an RDBMS, while TSQL is an extended version of SQL designed to perform operations on an MS SQL server.
A database is a collection of related data. Database Management System (DBMS) is software that helps manage the data in a database. Additionally, the Relational Database Management System (RDBMS) is an enhanced DBMS. It stores data in tables, and these tables are related to each other. The developer can use the SQL language to perform operations on an RDBMS. Also, TSQL is an extended version of SQL.
SQL vs TSQL: What is SQL?
SQL, or Standard Query Language, is the standard database communication language.
SQL is a relatively simple, syntax-oriented declarative language for relational databases that can be learned by professionals who are not necessarily developers, but who work with databases frequently.
What is SQL for?
SQL emerged to standardize the way IT professionals execute commands in their DBMS ( Database Management System).
Very popular databases like Oracle Database, MySQL, PostgreSQL, and Microsoft SQL Server are some SQL supporters.
Roughly speaking, we can say that SQL is for developers and professionals who have a direct relationship with databases to manipulate and/or visualize data more easily.
Why learn SQL?
First, if you want to become a back-end programmer or programmer, it is likely that databases will appear in your scope of work at some point.
Second, there are also technology professionals specializing in databases, the DBAs ( database administrator).
This, which is one of the most specific areas of the sector, has a large market to be explored, since, currently, we will hardly find a large company (or even a small one!) that does not use some kind of database.
Also, even if your goal is not to be a DBA, knowing SQL is a differentiator for any web development professional.
SQL Subsets
SQL standardization does not keep your commands in just one working block but in several. These specifications are called subsets.
Below, we’ll explain in more detail what these subsets are and what their goals are.
DML – Data Manipulation Language
The DML or Data Manipulation Language is the language of handling data. Along with DQL, it is one of the most used by professionals who are not specialized in IT, as mentioned above.
This subset aims to change data from tables, such as inserting, deleting, and updating data.
Its most used commands are insert, delete and select.
DDL – Data Definition Language
The DDL ( Data Definition Language) is the language definition data. This language is more related to the database itself than to the information it stores.
This subset serves to modify the database through, for example, creating and removing objects.
Its most used commands are created and dropped.
DCL – Data Control Language
The DCL ( Data Control Language) is the language control data. This language is also more related to the maintenance of the database than the data registered by it.
This is a very important subset because it defines user permissions, locks, and restrictions. In a large company that handles sensitive data, for example, these functions are extremely urgent for data security.
Its main command is a grant, giving users access or privileges to different tables.
DTL – Data Transaction Language
The DTL ( Data Transaction Language) is the language for altering data within a table. It exists because, before modifying any data, it is also necessary to authorize them to be saved.
This subset serves to actually publish these changes through commands like commit.
DQL – Data Query Language
The DQL ( Data Query Language) is the most popular for those who do not necessarily need to know how a database works, but only need to consult its information.
The main command of this subset is select.
A note here: select is often also described as a DML subset command, though at other times it has its own query subset.
Both ways to present it are correct.
What are the main SQL commands?
After talking about subsets, we’ve listed the main SQL commands below and how they help database users.
- Select this, as said earlier, is the query command, that is, it is used every time someone wants to view some data. Its operation consists of searching for a row within a table according to the criteria previously defined within the WHERE clause.
- Insert: this command inserts new lines into a table according to the arguments passed to it.
- Delete: This command removes rows from a table also according to the predefined criteria for it.
- Update: this is the command that updates rows of a table according to the criteria previously defined in the WHERE clause.
Keywords in SQL
To handle a database more quickly, knowing the SQL language, its dialects, and its commands is essential.
To have a holistic view of the entire SQL universe, however, it is necessary to have one (have a what?)
Clauses
The provisions are part of a command to perform a function and/or instruction, such as list boxes and results specifications.
The most common clauses are SELECT, FROM, WHERE, ORDER BY, GROUP BR, and HAVING.
Logical Operators
The operators logical are the ones who validate the conditions or test their legitimacy.
When using a logical operator, it returns a value that can be TRUE, FALSE, or UNKNOWN.
The most popular logical operators are all, and, any, between, exists, in, like, hot, or some.
Relational Operators
The relational operators are signals whose function is to make comparisons between values, structures, and controls.
The most popular relational operators are > (plus), < (less than), >= (greater or equal), <= (less than or equal), = (equal), and <> (different).
Aggregation Functions
Aggregate functions are functions that add more than one value to a single result.
For large companies that, on a daily basis, need reduced information, such as gross profit and net profit, for example, the aggregation functions are widely used when showing these results.
The most popular aggregate functions are MAX, MIN, SUM, AVG, COUNT, GROUP BY, HAVING, and ALIAS.
How to learn SQL?
Learning SQL is very simple. This is a more widespread language among professionals from other areas, such as engineers, big data professionals, data journalists, marketing consultants, quality analysts, and much more.
But, if you want to become a programmer or programmer, in the 3rd module of the full-stack programming course you have a discipline totally focused on SQL, databases, and ORMs (object-relational mappings).
In addition, you still have the opportunity to pay for the course only after its completion through the ISA payment method, an income-sharing agreement where the student only starts to pay for their studies after being allocated to the labor market, if any. , with a minimum remuneration of R$3,000.00. Otherwise, he doesn’t need to pay anything.
Databases are so widespread in the technological culture of companies of all sizes that, as a consequence, professionals trained to operate them will be increasingly in demand.
When choosing your future as a software developer, add this difference to your resume and expand your possibilities with SQL!
Read more: MySQL tutoring: what is it and how to use the system
SQL vs TSQL: What is TSQL?
SQL is the query language for most RDBMS products. Various vendors of RDBMS products developed their own database language by extending SQL in accordance with their products. TSQL is a SQL extension that was developed by Microsoft. TSQL stands for Transact Structure Query Language. It is the SQL version of Microsoft SQL Server.
Applications can communicate with the SQL server by issuing TSQL statements. The developer can write queries to perform operations on tables, join tables, and add constraints. You can also perform transactions, write stored procedures, views, indexes, and many more. There are several numeric, string, date functions. Also, there are aggregation functions to perform an operation on a set of values.
What is T-SQL language?
The T-SQL language is increasingly used by developers, making it possible to search and manipulate data and objects in SQL Server databases.
For those who want to develop a career in the promising IT field, more specifically with programming, it is essential to understand the SQL language (structured query language). It is a simple program for managing a DBMS (relational database). The T-SQL (Transact-SQL) language is important to extend the functions of SQL, offering new features. If you are already a programmer or want to stand out in the IT field, learn more about T-SQL. Also, in this text, you will discover the relationship between SQL and T-SQL and the benefits of using that language. See also the importance of the relational database for your database management.
What is T-SQL?
Mainly for the corporate world, database management is extremely important. So much so that a highlight in information technology is BI (business intelligence), an IT specialization that serves to optimize decision-making, in addition to predicting and reducing crises. Supporting these needs is TSQL.
The T-SQL enables search and manipulate data and objects contained in a SQL database, Microsoft SQL Server. Transactions (each unit of work) support the language elements of:
- SQL Server from 2008 onwards;
- Azure SQL Database;
- Azure SQL Data Warehouse;
- Parallel Data Warehouse.
SQL vs TSQL: Are there differences between T-SQL and SQL?
T-SQL is owned by Microsoft, but there is also PL-SQL, which is used in Oracle’s SQL. T-SQL is a language with the purpose of gathering the commands that will be used for different functions, such as the generation and control of all objects, as well as the insertion, alteration, deletion, and recovery of all data present in the database.
But the SQL is an online database system, which serves to create solutions that need storage, query, and even data analysis. It was developed in 1970 by IBM with the aim of storing data and performing analysis, regardless of the volume of information, at high speed and with precision.
Widely spread, the language was standardized in the mid-1980s, with two patterns emerging:
- ANSI (National Standards Institute): developed by the non-profit institution of the same name, which aims to organize computational processes, optimizing their quality;
- ISO (International Organization for Standardization): an organization that operates in various technical fields with the function of attesting to quality.
How to use T-SQL language?
The T-SQL language emerged to respond to SQL Server 92 (most popular today). The actions it aggregates can be divided into 4 groups.
1. DDL — data definition
Creates, alters, and deletes the object structure or the database itself. Its main functions are:
- CREATE: creates a database (CREATE DB) or a table (CREATE TABLE);
- ALTER: alters the structure of the table, creating (ALTER TABLE table_name ADD column_name datatype), deleting (ALTER TABLE table_name DROP COLUMN column_name) or changing a column of the table;
- DROP: Deletes database data such as the index of a table (ALTER TABLE table_name DROP INDEX index_name), the table (DROP TABLE table_name) or the database (DROP DATABASE database_name).
2. DML — data manipulation
DML, on the other hand, are commands that serve to modify the table’s contents. For example:
- SELECT: selects data from a database;
- SELECT column1, column2, … FROM table_name
- INSERT: adds rows of data to a table;
- INSERT INTO table_name VALUES (value1, value2, value3, …)
- UPDATE: updates data in a table;
- UPDATE table_name SET column1 = value1, column2 = value2, column3 = value3, … WHERE condition
- DELETE Deletes data from a table.
- DELETE FROM table_name WHERE condition)
3. DCL — data control
This category is responsible for changing the permissions in the database, checking or removing the licenses by users, and the scope of the information that each one can see. Some orders are:
- GRANT: grants the user access or privileges to objects;
- DENY: limits the permission of a user or group in relation to any object, or resource;
- REVOKE: used to remove GRANT or DENY permissions.
4. DTL — data transaction
This subset manages the transactions executed in the bank, such as:
- BEGIN TRANSACTION: signals the beginning of a transaction (BEGIN TRAN);
- COMMIT: sends all transaction data permanently to the database (COMMIT);
- ROOLBACK: undoes the changes made by the transaction. In this way, the database returns to the state it was in before (ROOLBACK).
What are the main advantages of SQL Server?
For an organization, there are many reasons to choose SQL Server as a database. It is cost-effective (especially for large companies), has a good supply of professionals available in the market (who have the skills sought by companies ), offers very good data recovery support, and is always up-to-date. automatically.
The developer who works with this type of relational database, on the other hand, offers many other advantages. Among them: labor market with many offers, constant updates — which offer improvements and even fix system bugs — excellent graphical interface, and the possibility of using templates for schemas.
Why use a relational database?
There are several types of databases, with different languages or interactions with the objects. So why choose a relational database? Among the various benefits are:
- information integration: organized in a structured way, which allows complex processing and quick responses;
- multiple tables: enabling the relationship between them and data entry only once;
- redundancy control: which minimizes the possibility of duplicate entries of information and errors resulting from this;
- data sharing: enabling multiple users to access different information;
- data control: managing which users have access to information and what they can do in the database, which creates security for the information;
- data consistency: showing precision in the information.
The T-SQL language allows the programmer to automate processes, integrate data, and optimize queries performed in a database. As you’ve seen, this standardization is extremely beneficial for both the company and the developer. With multiple commands, you use Transact-SQL to deliver high performance in real-time and data analysis.
Difference between: SQL vs TSQL
SQL vs TSQ: We are often asked what is the difference between SQL vs TSQL or some other similar variant. To begin with, we must make it clear that SQL is a standard language of both ANSI and ISO, organizations that are responsible for overseeing the development of standards for products, services, systems, etc. in order to facilitate processes.
This standard SQL language was taken by most database development companies and included in their products, such as Microsoft, Oracle, MySQL, IBM, etc.
Subsequently, these companies decided to extend this standard SQL with its own characteristics for their databases, so Microsoft developed TSQL, Oracle PL-SQL, and thus each of these companies.
SQL vs TSQL Definition
SQL is a domain-specific language used in programming and designed to manage data stored in a relational database management system. In contrast, TCL is Microsoft’s proprietary version of SQL for its SQL Server RDBMS. So this is the main difference between SQL and TSQL.
SQL vs TSQL Long-term
Also, SQL stands for Structured Query Language, while TSQL stands for Transact Structure Query Language.
SQL vs TSQL Base
SQL is the query language for managing data in an RDBMS, while TSQL is a SQL extension used in an MS SQL server.
SQL vs TSQL Developer
IBM developed SQL while Microsoft developed TSQL. This is another difference between SQL and TSQL.
SQL vs TSQL Incrustation
Also, another difference between SQL and TSQL is that it is possible to embed SQL in TSQL, but it is not possible to embed TSQL in SQL.
SQL vs TSQL Use
While SQL helps process and analyze data using simple queries, TSQL helps add business logic to an application. So this is another difference between SQL and TSQL.
SQL vs TSQL Conclusion
The main difference between SQL vs TSQL is that SQL is a language used to store and manage data in an RDBMS, while TSQL is an extended version of SQL designed to perform operations on an MS SQL server. In short, TSQL is a version of SQL that is the implementation of Microsoft SQL Server.
With these premises in mind, let’s answer some underlying questions:
SQL vs TSQL are they different?
The reality is that TSQL is an improved variant of standard SQL, that is, it has the characteristics of SQL and at the same time other possibilities were added, especially for the programming of Stored Procedures and Triggers.
Should I learn: SQL vs TSQL?
The answer is that by learning TSQL you will also be learning SQL, because as we said in the previous paragraph, TSQL is SQL plus the improvements introduced by Microsoft for its products.
SQL vs TSQL: Can I apply what I learn with TSQL to non-Microsoft databases?
The TSQL will help you both to learn the standard SQL that you can apply in any other relational database, such as Oracle, MySQL, MaríaDB, PostreSQL, etc. and also the peculiarities of Microsoft databases such as SQL Server and Azure Database, which have a great preponderance in the business market.
SQL vs TSQL: Is it better to learn TSQL or SQL?
SQL vs TSQL: In both languages, you will be learning the handling of standard SQL plus Microsoft’s add-ons in the first case or those of Oracle in the second. The answer to this question depends on the needs of each person, if you are working for a company that uses Oracle, it is likely that a SQL course will be more useful for you and the same with someone who is in a company that uses SQL Server, where it will be most useful to learn TSQL.
SQL vs TSQL: Now, in the case of someone who is not working yet and is training, I would advise them to learn TSQL, since it is established in both small, medium, and large companies, while Oracle has more roots only in large companies, and The reality is those small and medium-sized companies are the largest generators of employment, so you are more likely to face Microsoft databases than Oracle. In any case, when learning one language or the other, the learning curve for the next one will be faster and easier, so the important thing is to start with one.
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