If you work with databases, SQL AI tools can significantly improve your productivity and efficiency. They help generate SQL commands automatically from natural language input and optimize query performance as functional and starter-friendly tool.
Here we gathered some of the most popular SQL AI tools (Text2SQL) on the market in 2024.
DataGrip
JetBrains introduces an AI Assistant to its flagship SQL client DataGrip.
The DataGrip AI assistants can:
- Request queries and information using a natural language.
- Explain complex SQL such as stored procedure.
- Optimize schema and SQL.
- Compare DDL of two database objects.
- Fix SQL mistakes.
- Format and rewrite SQL.
SQL Chat
SQL Chat is a chat-based SQL client, which uses natural language to communicate with the database to implement operations such as query, modification, addition, and deletion of the database. Instead of navigating across many UI controls, SQL chat applies a much more intuitive chat-based interface, bringing more flexible and comfortable user experience.
SQL Chat supports the following databases and will add more over time:
- MySQL
- PostgreSQL
- MSSQL
- TiDB Cloud
Outerbase
Outerbase impresses users at first sight with its strong-sense-of-tech and comics-style interface.
It supports a variety of SQL or NoSQL databases.
Outerbase develops its AI agent EZQL to understand your natural language prompts.
SQLAI.ai
SQLAI.ai is divided into several SQL generators, each serving specific purposes:
- Explain SQL Queries: Offers explanations with summaries, output visualizations, and detailed query breakdowns.
- Format SQL Query: Formats SQL queries for improved readability and reduced error-proneness.
- Analyze Your Data: Allows you to upload CSV data and ask AI questions.
- Generate SQL Query, Fix SQL Queries, Optimize SQL Query, etc.
In addition to the core generators, SQLAI.ai includes tools to facilitate your work. The available tools vary depending on the generator.
Honorable mention: Postgres.new
Postgres.new is an in-browser PostgreSQL sandbox with AI assistance. It allows users to operate with PostgreSQL directly in a web browser, without having to install or set up the database locally.
Postgres.new is currently in early alpha with limited functionality. It may have limitations compared to a full native PostgreSQL installation.
SQL AI tools improve efficiency, make it easier to interact with databases. Although they also use state-of-the-art natural language processing models, the results may sometimes be inaccurate. If you want to use them in production, make sure to double-check before you hit RUN.
Top comments (2)
Thanks for the list! It’s amazing to see how this technology is evolving to make data more accessible. For those exploring options, I’d recommend also checking out QueryX
queryx.eu
Available on line- you can try it to see its potential firsthand! 🚀
there's also text2sql.ai/