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SQLPilot

SQLPilot

SQLPilot is an AI-driven SQL query generator for PostgreSQL and MySQL, offering unlimited connections, auto-completion, and strong privacy protections.
Author:LoRA
Inclusion Time:11 Feb 2025
Visits:1701
Pricing Model:Free
Introduction

What is SQLPilot?

SQLPilot is an AI-driven tool for generating complex SQL queries, supporting PostgreSQL and MySQL databases. Its key features include:

Unlimited database connections.

Automatic SQL query completion to enhance productivity.

Commitment to user privacy and data security.

Download results in CSV format; Excel support coming soon.

Plans to offer visual graphs and charts.

Who Can Benefit from SQLPilot?

SQLPilot is ideal for developers and data analysts who need to quickly generate SQL queries. It simplifies the process with AI technology, making it easier to handle large datasets and database operations efficiently.

Example Scenarios:

Developers can use SQLPilot to swiftly create complex analytics queries, boosting development speed.

Data analysts can save time by using the automatic completion feature to reduce manual query writing.

IT teams can standardize SQL query generation across the organization, improving collaboration.

Product Features:

Supports PostgreSQL and MySQL databases.

Offers multiple GPT models such as GPT-3.5, GPT-4, and GPT-4o.

Provides unlimited database connections.

Includes SQL query auto-completion to increase efficiency.

Does not store user data, ensuring privacy and security.

Results can be downloaded in CSV format; Excel support is planned.

Future updates will include graph and chart visualization.

How to Use SQLPilot:

1. Visit the SQLPilot website and sign up for an account.

2. Log in and select your preferred database type (PostgreSQL or MySQL).

3. Add the necessary database connection details.

4. Write query prompts using natural language, specifying the required tables.

5. Choose an AI model and generate the SQL query.

6. Use the auto-completion feature to refine the query.

7. Download the generated query results or await Excel support.

8. Utilize upcoming graph and chart functionalities for intuitive result visualization.

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