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How To Use SQL Query Tool in 2024

The standardization of database manipulation was first developed by computer scientists in the 1970s, and SQL is the result of those efforts.

SQL query tools are essential for anyone who needs to work with relational databases. This includes

  • Developers
  • Database administrators
  • Business intelligence professionals 

When the first SQL standard was adopted by the American National Standards Institute (ANSI) in 1986, SQL became more well-known.

With the growing complexity of database systems, having a tool that makes it easier to work with data is becoming increasingly important. 

In this guide, we’ll provide a step-by-step guide to using these tools. From covering what is a SQL Generator, its features, and related databases to 8 top SQL tools, we’ll cover everything you need to know to get started with them.

Read more: Everything You Need To Know About Data Quality Management

What Is A SQL Generator?

what is sql generator

It is a tool that automatically generates SQL code based on user input or specific requirements. 

They are software applications that provide a user-friendly interface for executing and managing SQL (Structured Query Language) statements on databases. 

The tool allows users to create SQL queries without having to write the code themselves. 

This can be useful for people who are not familiar with SQL or who want to save time and effort in writing complex SQL queries.

SQL generators typically have a graphical user interface that allows users to select tables, fields, conditions, and other elements of the query, and then generate the corresponding SQL code. 

Some of them also have pre-built templates for common tasks, such as generating a SELECT statement or creating a table.

Read more: Table vs Grid: What is the key difference?

SQL Query Tools’ Most Common Features

These tools help to simplify the process of working with databases, making it easier to perform common database operations such as querying, updating, and managing data.

Some of the common features include:

Query Builder: 

A graphical user interface for constructing and executing SQL statements.

Query Editor: 

A text editor for entering and executing SQL statements.

Object Browser: 

A graphical representation of the database schema, allowing you to navigate and manage tables, views, and other database objects.

Data Grid View: 

A view of query results in a grid-like format, allowing you to easily manipulate and sort the data.

Code Completion: 

Automated completion of SQL keywords and syntax, making it easier to write correct and efficient SQL statements.

Query Planner: 

A tool for analyzing and optimizing the performance of SQL statements.

Import/Export: 

A feature for importing and exporting data from and to various formats, including CSV, Excel, and XML.

Reporting: 

A feature for generating reports based on query results, including charts, pivot tables, and other visualizations.

Security: 

A range of security features, including user authentication, role-based access control, and data encryption, to ensure the security of your data.

SQL query tools can be used by developers, database administrators, and business intelligence professionals to work with databases such as MySQL, Oracle, Microsoft SQL Server, and PostgreSQL, among others.

MySQL

MySQL is a widely used open-source relational database management system (RDBMS) that is well-suited for small to medium-sized databases. 

It is known for its simplicity, reliability, and ease of use, making it an ideal choice for web applications and small businesses. 

Also, it is because of its simplicity that any example of mySQL is understandable to many new developers. For instance, here is one example of mySQL for creating and populating the example table:

CREATE TABLE shop (

    article INT UNSIGNED  DEFAULT ‘0000’ NOT NULL,

    dealer  CHAR(20)      DEFAULT ”     NOT NULL,

    price   DECIMAL(16,2) DEFAULT ‘0.00’ NOT NULL,

    PRIMARY KEY(article, dealer));

INSERT INTO shop VALUES

    (1,’A’,3.45),(1,’B’,3.99),(2,’A’,10.99),(3,’B’,1.45),

    (3,’C’,1.69),(3,’D’,1.25),(4,’D’,19.95);

One of the main advantages of MySQL is its cost-effectiveness. Unlike many other RDBMS, it is free to use and distribute, making it a popular choice for organizations that are looking to keep costs down.

It also provides a range of development tools, including SQL, PHP, and Python, making it a popular choice for developing custom applications. 

MySQL has a large and active community of developers and users, which means that there are many resources and tutorials available to help you get started with using this RDBMS.

Microsoft SQL Server

Microsoft SQL Server is a RDBMS developed and marketed by Microsoft. It is used by many organizations around the world to manage and store data.

It supports a range of data types, including text, numbers, and binary data, and is well-suited for complex data analysis. 

Also, it provides a wide range of development tools, including T-SQL, .NET, and Python.

It is also known for its security features, which are critical for organizations that handle sensitive information, including encryption, role-based access control, and auditing.

It also provides excellent support for business intelligence and data visualization, allowing organizations to gain valuable insights from their data.

PostgreSQL

A PostgreSQL dashboard is a graphical user interface (GUI) that allows users to manage, monitor, and visualize data stored in a PostgreSQL database. 

It typically provides a user-friendly interface for performing common database management tasks, such as running SQL queries, managing tables, and monitoring performance. 

The user can then back up and restore their PostgreSQL database, ensuring the safety and security of their data.

PostgreSQL dashboard has a query editor that allows users to write, execute, and save SQL queries. It offers a user-friendly interface for creating, altering, and dropping tables, as well as managing data in existing tables.

Additionally, there are a set of tools for visualizing data and monitoring performance stored in the PostgreSQL database, such as charts, pivot tables and metrics such as query response time, memory usage, and disk I/O.

There are several PostgreSQL dashboards available, both commercial and open-source, each with its own unique features and capabilities. 

It’s important to choose a dashboard that meets your specific needs and is compatible with your PostgreSQL setup.

Read more: Everything You Need To Know About Creating SQL Reports

A Step-By-Step Guide To Using SQL Query Tool For 2024

using sql query tool

Using a generator for SQL can help to reduce errors and improve the efficiency of SQL query development, but it’s important to understand the generated code and make sure it meets your needs before using it in your database. 

Here is a more detailed step-by-step guide to using a SQL tool

Choose: 

There are several options available in the market and many more. 

Choose the one that fits your needs and is compatible with your database management system. You can compare the features and capabilities of different tools to determine which one is best for your needs.

Install: 

Once you have chosen a SQL tool, download and install it on your system. The installation process may vary depending on the tool you have chosen.

Connect To Your Database: 

Open the tool and connect to your database. You will need to provide your database credentials, such as the hostname, port number, username, and password. 

If you are connecting to a local database, the hostname will typically be “localhost.”

Create A New Query: 

In the tool, create a new query by clicking on the “New Query” or “Create Query” button. A new query editor window will open.

Write An SQL Query: 

An SQL query is a request for data from a database. The syntax of an SQL query may vary depending on the tool you are using and the database management system you are working with. 

For example, if you are working with Microsoft SQL Server, the syntax will be different from the syntax you would use for Oracle or MySQL.

Run The Query: 

Once you have written the query, you can run it by clicking on the “Execute” or “Run” button in the tool. The results of the query will be displayed in the results window.

Save The Query: 

You can save the query for future reference by clicking on the “Save” button as a .sql file, which you can later open and run in the tool.

Analyze The Results: 

See if the results of a query meet your expectations. 

If not, you can modify the query and rerun it. You can also export the results of the query to a file, such as a CSV or Excel file, for further analysis or reporting.

Refine The Query: 

If you need to retrieve additional data or change the results of the query, you can modify the query and rerun it. You can also add filters, sorting, and grouping to the query to further refine the results.

Note: Before you run any SQL query, make sure that you have the necessary permissions and that you understand the consequences of the query. It’s always a good practice to back up your database before running any complex queries.

In addition, some generators may have limitations in terms of the complexity of queries they can generate, so it’s important to evaluate the capabilities of the tool before using it.

8 Top SQL Query Tools (2024)

8 top sql query tools in 2023

These are some of the top SQL query tools available:

1. DotNet Report:

One of the greatest reporting tool for SQL is the DotNet Report as it allows you to build customized ad hoc reports. It takes into account the needs of data analysts for performing predictive analysis on corporate data utilizing SQL query builder.

Dotnet Report provides a tonne of tools that assist its users in developing insights that can be used to manage corporate data. 

The SQL reporting tools are designed to help developers quickly and efficiently address ad hoc queries. 

Developers can create queries to make decisions for their data projects in the workplace and to provide real-time answers to questions.

Additionally, even without the assistance of developers, end users can create and execute any SQL-based reports directly from the interface.

Benefits Of Using DotNet Report

DotNet Report is a powerful reporting tool that provides a wide range of benefits for users looking to effectively manage, analyze and present their data. 

Some of the key benefits of using DotNet Report include:

1. Filters 

It provides users with the ability to easily filter and search for specific data, making it easier to find the information they need. 

This feature can help users to identify trends, patterns, and anomalies in their data, which can then be used to make informed business decisions.

2. Drill-Down Sub Reports

DotNet Report allows users to create sub-reports that can be drilled down to create reports that can be viewed at different levels of detail, making it easier to understand complex data and relationships.

3. Server-Side Paging/Sorting

It provides users with the ability to sort and paginate their data on the server side, which can significantly improve performance. 

This is especially useful when working with large datasets, as it reduces the amount of data that needs to be transferred to the client and processed on the client side.

4.Organize In Folders

DotNet Report provides users with the ability to organize their reports into folders, making it easier to manage and find their reports. 

This feature helps users to keep their reports organized and makes it easier to find and reuse reports.

5. Open Source Report Builder

Users get a free and open-source report builder, which makes it easy for them to create custom reports that meet their specific needs. 

This feature can help users to reduce the costs associated with developing custom reports and can make it easier for users to get the information they need.

6. Built-in Query Builder

DotNet Report provides users with a built-in query builder, which makes it easier for users to create and manage their database queries. 

This feature can help users to save time and effort when working with data, as it provides a visual interface for building and managing database queries.

2. SentryOne SQL: 

A comprehensive SQL performance tuning and optimization tool that provides advanced performance monitoring, diagnostics, and tuning capabilities for SQL Server, Azure SQL Database, and Amazon RDS for SQL Server.

3. Redgate SQL Prompt

A popular SQL tool that helps to improve productivity by providing intelligent code completion, syntax highlighting, and formatting, among other features.

4. dbForge Query Builder: 

A visual SQL query builder that enables you to build complex SQL statements without manual coding. It supports multiple database types including SQL Server, MySQL, Oracle, and PostgreSQL.

5. FlySpeed SQL Query

A fast and easy-to-use tool that provides a user-friendly interface for working with databases, including data browsing, SQL editing, and query execution.

6. RazorSQL: 

A tool that provides a range of advanced features including SQL editing, query building, and data management, as well as support for multiple databases, including the ones mentioned above, and others.

7. Data Xtractor: 

A fast and powerful tool that enables you to work with databases and data sources, including SQL Server, Oracle, MySQL, and more. 

It provides advanced features such as query building, data visualization, and data export capabilities.

8. Idera Rapid SQL: 

A SQL development environment that provides robust features for SQL coding, debugging, and testing, including code completion, syntax highlighting, and source control integration.

Read more: Key Differences between Metrics and KPIs

Conclusion

In conclusion, SQL tools are indispensable tools for anyone who works with databases. 

Whether you’re a developer, database administrator, or business intelligence professional, using a tool can help you to work more efficiently and effectively with your data. 

With this step-by-step guide, you should now have a good understanding of what an SQL query tool is and how to get started with one. 

Whether you’re looking to improve your productivity, optimize your database performance, or gain deeper insights into your data, an SQL tool is a valuable tool to have in your toolkit especially if it is DotNet Report..

FAQs

How to generate a SQL query?

Right-click a virtual table on the Server pane and choose Generate Query. Pick one of the following possibilities: Execute – In the Data Source Editor, create a SQL query and run it. Cancel – Create a SQL query in the SQL Editor but do not run it.

Can I create SQL in Excel?

In Excel’s SQL Spreads tab, select the Create SQL Table button. If this is your first time using SQL Spreads or Table Creator, you will see the popup to connect to your SQL Server. 

Can I create SQL query from Excel?

One of the more than 20 capabilities in the XLTools Add-in for Excel is SQL Queries. Works in desktop Office 2019 2016, 2013 and 2016.

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