SQL Chat reviews
ChatGPT powered SQL client for Postgres, MySQL & SQL Server
•10 reviews•301 followers
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301 followers
Just tried SQL Chat and it's a game-changer for DBAs and developers! 🎉 The ChatGPT-powered SQL client makes querying and changing data a breeze. 👍 No sign-up is needed, and it's secure since it only sends database schema. Check it out at https://sqlchat.ai 😄 keep it up@tianzhou_chen
SQLChat is an innovative chat-based SQL client that bridges the gap between traditional SQL interfaces and natural language processing. I participated in adding the initial code to provide basic support for connecting to MSSQL servers. With its user-friendly interface and intuitive commands, SQLChat has the potential to be a valuable tool for DBAs and beginners. Its chat-based interface encourages users to ask questions and explore databases in a natural way. I'm excited to see how this project grows and how it can continue to make databases more accessible to a wider range of users.
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.
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. o(￣▽￣)
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.
