Text2SQL.ai

Generate SQL queries from natural language with AI

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6,314 www.text2sql.ai
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Sheldon

🛠️ 2 tools 🙏 4 karma

Dec 13, 2023

Great product, helps us to get insights from DB without involving developers.

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BlazeSQL

AI-powered SQL query generator for effortless database queries.

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Kieron Welman

Feb 25, 2025

Works really well, keeps context about your database schema and works directly with data to very quickly generate sql, datatables and visual graphs

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SQL Genius - SQL AI Generator

Turn English into SQL queries using AI

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Q&A

What is EverSQL SQL to Text?

EverSQL SQL to Text is a web utility tool employing artificial intelligence to break down and explain complex SQL queries in plain English. It supports a host of databases, converting SQL clauses into an understandable format thus enhancing the readability and comprehension of SQL queries for a wide audience. This is especially beneficial for developers, non-technical stakeholders, and for the purpose of code documentation. It takes the security of user data seriously by encrypting and securely storing all inputs.

How does EverSQL SQL to Text explain SQL queries in plain English?

EverSQL SQL to Text employs artificial intelligence to analyze a SQL query and break it down into its essential components such as SELECT, FROM, and WHERE clauses. The tool then transforms these components into a human-readable format, hence making the original SQL query understandable in plain English.

Does EverSQL SQL to Text support MySQL database?

Yes, EverSQL SQL to Text supports MySQL database among a variety of other databases.

Is the EverSQL SQL to Text tool free?

Yes, the EverSQL SQL to Text tool is absolutely free to use.

How does EverSQL SQL to Text enhance the readability of SQL queries?

EverSQL SQL to Text improves the readability of SQL queries by leveraging AI to break down the query into fundamental components and then translating them into comprehensible human language. It makes SQL query details like its intent evident in plain English, thus enhancing readability.

Can EverSQL SQL to Text handle complex SQL queries involving multiple JOINs, subqueries, nested conditions, or advanced functions?

Yes, EverSQL SQL to Text can efficiently handle complex SQL queries. Whether the queries involve multiple JOINs, subqueries, nested conditions, or advanced functions, this tool can precisely translate them into readable text.

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How secure is my data when using EverSQL SQL to Text?

User data is highly secure when using EverSQL SQL to Text. All data entered into the tool is encrypted and securely stored, prioritizing user data's privacy and security.

Can non-technical stakeholders use EverSQL SQL to Text?

Yes, non-technical stakeholders can use EverSQL SQL to Text. It aids in making SQL queries easier to understand even for individuals without SQL skills, facilitating better collaboration and knowledge sharing.

Can EverSQL SQL to Text assist with code documentation?

EverSQL SQL to Text definitely assists with code documentation. It enhances the readability of SQL queries making it simpler to document codes. Additionally, by presenting SQL queries in plain English, code documentation becomes easier to understand for a wider audience.

Does EverSQL SQL to Text work with Amazon Aurora SQL server?

Yes, EverSQL SQL to Text supports Amazon Aurora SQL server along with various other types of database servers.

In what ways does EverSQL SQL to Text assist in promoting collaboration?

EverSQL SQL to Text enhances collaboration by making SQL queries easy to understand for a wider audience, not just those skilled in SQL. This facilitates more effective communication within teams, as everyone can understand the intent of SQL queries, hence promoting collaboration.

Who is the EverSQL SQL to Text tool intended for?

EverSQL SQL to Text tool is designed for database developers, analysts, and administrators. However, its user-friendly translation also makes it useful for non-technical stakeholders seeking a better understanding of SQL queries.

Does the EverSQL SQL to Text tool support MariaDB?

Yes, the EverSQL SQL to Text tool supports MariaDB along with a variety of other databases.

How can EverSQL SQL to Text help database administrators?

EverSQL SQL to Text helps database administrators by making it easier to understand, interpret, and document complex SQL queries. This leads to improved readability, enhanced collaboration, and better knowledge sharing.

What's the purpose of converting SQL queries to text by using EverSQL SQL to Text tool?

Converting SQL queries to text using EverSQL SQL to Text tool facilitates in improving the readability and understanding of SQL queries for a broader audience. It promotes collaboration and allows easier code documentation. Furthermore, it is a great aid in creating comprehensive documentation for future reference and knowledge sharing.

Does EverSQL SQL to Text tool process SQL Server databases?

Yes, EverSQL SQL to Text does process SQL Server databases. It supports several types of databases, SQL Server included.

Does EverSQL SQL to Text support PostgreSQL?

Yes, the EverSQL SQL to Text tool offers support for PostgreSQL databases.

How does EverSQL SQL to Text utilize AI technology?

EverSQL SQL to Text uses AI to analyze various aspects of a SQL query. It understands and breaks down the parts of the query into meaningful components like the SELECT, FROM, WHERE clauses, and then converts them into a human-readable format.

How can the EverSQL SQL to Text tool aid knowledge sharing?

EverSQL SQL to Text promotes knowledge sharing by making SQL queries more accessible and understandable to a wider audience. Its translation capabilities allow for theoretical discourse to occur by default, as anyone, not just those skilled in SQL, can read and interpret these queries.

Can EverSQL SQL to Text be used with Oracle server databases?

Yes, EverSQL SQL to Text can be used with Oracle server databases. It supports various types of databases, Oracle server being one of them.

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Comments(1)

Owen Bell

Mar 7, 2024

Rated it

The explanations are not useful, for example: "Overall, the goal of this SQL query is to create temporary tables and then retrieve specific data from those tables based on certain conditions and transformations." Wow, no kidding.

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