Best 80 SQL Tools in 2025

AskYourDatabase, AI Query, Vanna: Your AI Business Intelligence Assistant, LINQ Me Up, Seek AI, SQL CREATOR, QueryCraft, PlasticDB, Kvery, TiDB Cloud are the best paid / free SQL tools.

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What is SQL?

SQL (Structured Query Language) is a standard language for managing and manipulating relational databases. It was developed in the 1970s at IBM and has since become the most widely used language for interacting with databases. SQL allows users to create, modify, and query databases, making it an essential tool for data management and analysis.

What is the top 10 AI tools for SQL?

Core Features
Price
How to use

DataCamp

Video tutorials
Coding challenges
Courses on R, Python, Statistics, SQL, Power BI, Tableau, and more

Start learning for free by creating an account. Choose from a wide range of courses in Python, R, SQL, Power BI, Tableau, and more. Complete interactive courses, practice with daily coding challenges, and apply your skills to real-world problems.

Dify

Visual composition of AI-native applications
Fast deployment of applications in just a few minutes
Support for GPT-4 and other models
Easy integration of plugins and long context using APIs
Continuous improvement and operation of AI applications
Sound application types and templates

To use Dify, sign up for a free account and log in. You can then start by creating your AI-native application using the visual composition tools. Choose from various application types like chat bot, code converter, SQL generator, news content writing, creative script, summary abstract, personalized dialogue, and Quora question answer. Customize the application based on your requirements and deploy it within minutes. You can also use Dify's API for more advanced integration and plugin options.

Continue

Task-based auto-complete
Code generation and refactoring
Code explanation
Editing code in natural language
File generation for different programming languages

To use Continue, you can download and install the VS Code extension from the GitHub repository. Once installed, you can leverage its various features. You can highlight sections of code and ask Continue for auto-completion, code generation, refactoring, or explanations. You can also edit code in a natural language by instructing Continue to perform refactorings or write new code. Moreover, Continue can generate files from scratch, automatically generating Python scripts, React components, and more.

Hex

Collaborative data notebooks
Advanced data analysis
AI-assisted analysis
Real-time collaboration
Team collaboration tools
Drag-and-drop app builder
Data exploration and manipulation
Jupyter Notebook integration
Exploratory data analysis
Powerful data analysis
Easy data sharing
Secure data sharing
Interactive app builder
Python scripting
SQL querying

Hex provides a collaborative data workspace where users can perform queries, create notebooks, generate reports, build data apps, and utilize AI tools. Users can integrate their entire data workflow and work with SQL, Python, R, or no-code all in one flexible notebook UI.

Formula Bot - AI Data Analyst

Formula Bot offers a range of core features including AI-powered formula generation, data preparation capabilities, and in-depth data analysis. It also provides insights and visualizations to aid in understanding the data. The tool supports a variety of data formats and has a user-friendly interface.

To use Formula Bot, simply upload your data file to the tool. The AI algorithms will automatically analyze the data, generate relevant formulas, and provide insights and analysis. You can then apply these formulas to your data to gain deeper understanding and make data-driven decisions.

GPT Excel

Generates Spreadsheet Formula for Excel, Sheets, and Airtable, enabling users to perform complex calculations and analyses.
Explaining spreadsheet formulas used in Microsoft Excel, Google Sheets, and Airtable, providing users with a better understanding of how to perform calculations and data analysis within these platforms.
Generate, Debug and modify advanced SQL Queries for multiple Database systems with AI.
Generate VBA Script, Apps Script and Airtable Scripts to automate and streamline repetitive tasks and increasing productivity within these platforms.

Pro plan $6.99 User / month Formula Generator for Excel, Sheets, and Airtable. Formula Explainer for Excel, Sheets, and Airtable. VBA script, Apps Script, and Airtable Script Generator. up to 100 requests per day. Priority access to customer support. SQL Query Generator. Regex Generator

Unlock the power of AI to effortlessly generate and explain Microsoft Excel, Google Sheets, and Airtable formulas. Supercharge your productivity with automated VBA Script, Apps Script, Airtable Script, SQL Queries, and regex.

Quadratic

Real-time collaboration
Support for Python, Formulas, and AI
Infinite canvas spreadsheet

To use Quadratic, simply open it in your web browser. It natively supports Python, Formulas, and AI. You can collaborate in real-time with others and perform high-performance analysis.

MyScale

Fast and powerful vector queries
Index creation and search
Filtered search
Complex queries
Data import and export
Integration with your stack

To use MyScale, follow these steps: 1. Sign up for a free trial account. 2. Import your data into MyScale. 3. Write SQL queries to perform vector search and analytics. 4. Use the MyScale API to integrate with your applications. 5. Monitor and optimize performance using the MyScale dashboard.

AI Formula Wizard

AI-powered formula generation
Efficient and time-saving
Text-based formula instructions
Chrome Extension for seamless integration with Google Sheets and Excel

To use AI Formula Wizard, simply provide text instructions describing the desired formula. The AI will then generate the corresponding formula for you.

Vanna: Your AI Business Intelligence Assistant

AI-powered SQL generation
Support for Snowflake, BigQuery, Athena, Postgres, and more
Customizable training model for database-specific queries
Self-learning capability to improve accuracy over time
Secure and private handling of database contents
Integration with Jupyter Notebook, Slackbot, web apps, and more

free_tier $0/month - Single-User Models with GPT 3.5 Foundational Model
enterprise_tier Contact Us - Customized Slack/Teams Integration, Customized Dashboard, In-House LLM Integration

To use Vanna, install the Python package 'vanna' and set up an API key. Then, specify the database model you want to train Vanna on and ask queries using the 'ask' function. Vanna will generate SQL queries for you in seconds.

Newest SQL AI Websites

Simplify SQL query creation
AI SQL knowledge base
AI business analyst for SQL, charts, and dashboards.

SQL Core Features

Data Definition Language (DDL) for creating and modifying database structures

Data Manipulation Language (DML) for inserting, updating, and deleting data

Data Query Language (DQL) for retrieving data from databases

Data Control Language (DCL) for managing user permissions and access control

Transaction Control Language (TCL) for managing database transactions

What is SQL can do?

Business Intelligence and Analytics: SQL is used to extract and analyze data from databases to support data-driven decision making

Web and Mobile App Development: SQL is used as the backend database for storing and retrieving application data

Enterprise Resource Planning (ERP) Systems: SQL databases are used to store and manage data for various business processes such as inventory, accounting, and human resources

Healthcare and Life Sciences: SQL is used to manage and analyze patient data, clinical trial results, and research data

SQL Review

SQL is widely praised for its versatility and efficiency in managing relational databases. Users appreciate its standardized syntax, powerful querying capabilities, and wide adoption across various database systems. Some users may find the learning curve steep, especially for complex queries involving multiple joins and subqueries. However, the benefits of SQL in terms of data management and analysis far outweigh the initial learning challenges. Overall, SQL remains a crucial tool for anyone working with structured data.

Who is suitable to use SQL?

A marketing analyst using SQL to extract customer data for a targeted email campaign

A financial analyst using SQL to generate reports on sales performance and revenue trends

A web developer using SQL to store and retrieve user information for a web application

How does SQL work?

To use SQL, you typically need a relational database management system (RDBMS) such as MySQL, PostgreSQL, or Oracle. The basic steps to use SQL are: 1. Connect to the database using a client tool or programming language driver 2. Write SQL statements to create tables, insert data, update records, or query the database 3. Execute the SQL statements, and the RDBMS will process them and return the results 4. Analyze or manipulate the returned data as needed

Advantages of SQL

Standardized language for interacting with relational databases

Powerful querying capabilities for retrieving specific data subsets

Efficient data storage and retrieval

Support for ACID (Atomicity, Consistency, Isolation, Durability) properties to ensure data integrity

Wide adoption and compatibility with various database systems and tools

FAQ about SQL

What is SQL?
What are the main components of SQL?
What is the difference between SQL and MySQL?
Is SQL case-sensitive?
What is a primary key in SQL?
What is a join in SQL?