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SQL Chat

ChatGPT powered SQL client for Postgres, MySQL & SQL Server

4.8
•10 reviews•

300 followers

ChatGPT powered SQL client for Postgres, MySQL & SQL Server

4.8
•10 reviews•

300 followers

Visit website
AI Chatbots
•
ChatGPT Prompts
•
Databases and backend frameworks
SQL Chat is a chat-based SQL client for you to ask database questions and query databases using natural language.
  • Overview
  • Launches1
  • Reviews10
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Company Info
sqlchat.ai
SQL Chat Info
Launched in 2023View 1 launch
Forum
p/sql-chat
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Free
Launch tags:
Productivity•Developer Tools•Artificial Intelligence
Launch Team
Tianzhou ChenSteven

What do you think? …

Tianzhou Chen
Tianzhou Chen
Bytebase

Bytebase

Maker
📌
Hey folks of PH, We are from Bytebase, a Database CI/CD tool for DevOps teams. From our experience working alongside DBAs and Developer teams, we know that writing SQL is a headache for most people, let alone good SQL. With the help of Generative AI, here we present SQL Chat, the ChatGPT-powered SQL client. It currently supports MySQL, PostgreSQL, SQL Server and we are gradually adding more databases. ✌️ To try it out, simply open https://sqlchat.ai from your browser (no sign-up required) 👀 Chat with the default SQL Chat bot or the sample database. You can also create a connection to your own database, then ask questions, query, and change data using natural language. 🔒 SQL Chat itself doesn't retain any data. Your database connection is stored locally in your browser. And SQL Chat only sends the database schema to the OpenAI API. No table data will be transmitted. 😄 Let me know what you guys think! Thanks. Tianzhou Chen | Co-Founder / CEO
Report
2yr ago
silencer.xyz
silencer.xyz
ILLA Cloud

ILLA Cloud

@tianzhou_chen Nice! Congrats!
Report
2yr ago
Tony Yan
Tony Yan
@tianzhou_chen Congrats! SQL with OpenAI powered.
Report
2yr ago
Tianzhou Chen
Tianzhou Chen
Bytebase

Bytebase

Maker
@donquixote Thanks!
Report
2yr ago
Tianzhou Chen
Tianzhou Chen
Bytebase

Bytebase

Maker
@smallsohosolo Thank you!
Report
2yr ago
Tianzhou Chen
Tianzhou Chen
Bytebase

Bytebase

Maker
@smallsohosolo 🥂
Report
2yr ago
LawRachel
LawRachel
I tried sqlchat.ai recently, finding it quite useful for my ad-hoc query needs. I am one of those who love and hate sql simultaneously, appreciating its helpful query standard while toutured by its endless details and dialect differences. So after the overwhelming discussions about ChatGPT and OpenAI API, I was wondering if there are any tools relieving me from memorizing sql details. The moment I heard about the release of sqlchat.ai, I gave it a try. It is much faster than ChatGPT, with response waiting time less than 500ms or so. After entering my query requirment in the natural language word order, it can really understand the exact purpose, returning federated query sentences with where, join, group by, order by, etc. This is quite amazing because the only thing I need to do now is to focus on what I want to know from my db, which is the very important ASK step of data analysis. Being free from sql details really improves work efficiency. Quite a revolutionary UX improvement.
Report
2yr ago
Tianzhou Chen
Tianzhou Chen
Bytebase

Bytebase

Maker
@rachel_law wow. Encouraging review!
Report
2yr ago
piglig
piglig
SQL Chat As far as my use in these days, it is different from the previous toy-level products, with a higher degree of maturity, and unlike the previous toy-level products, it has a certain degree of database design capability and is able to perform auxiliary management work. I have designed an RBAC model, which can understand the association between table structures, and when generating test data, the field meanings and types can match the table structures well.
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Do you use SQL Chat?

4.8
Based on 10 reviews
Review SQL Chat?

SQL Chat is praised for its user-friendly interface and ability to bridge traditional SQL interfaces with natural language processing. Users appreciate its intuitive commands and chat-based interaction, which make querying databases more accessible. The tool is noted for its speed and efficiency, with response times under 500ms, and its ability to handle complex queries without requiring users to memorize SQL details. It is seen as a mature product with capabilities for database design and management, enhancing productivity for both beginners and experienced users.

Farrell WiratamaEvan Longshanmukimo
+7
Summarized with AI
Pros
Cons
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Pros
natural language processing (3)
user-friendly interface (3)
auxiliary management work (2)
database design capability (2)
mature product (2)
productivity boost (2)
Farrell Wiratama
Farrell Wiratama
•4 reviews
very interactive bot for student like me
Report
2yr ago
Evan Long
Evan Long
•1 review
666
Report
2yr ago
shanmukimo
shanmukimo
•1 review
Good
Report
2yr ago