LogicLoop AI SQL Copilot

@jesika_haria Congrats on the launch! SQL is such an interesting technology that has been used for decades. It has such staying power and it's very exciting to see something like this go through a new phase with AI to reach new levels of productivity.

@jacqueline_xu Thank you, and you!

This is definitely talked/lamented about in my company! For folks who can write SQL, their time would be better spent focussing on the "what" (metrics, experiments) rather than the "how" (unnest syntax in sql anyone? remember to keep the small-er table on the left of the join for runtime). So excited for you! +1 to the social layer on top, perhaps also comment insertion to explain code, and auto generated field/column descriptions?

@tanvi_chheda1 Totally, it's a common pain point we hear a lot. Folks want to get to the data and the insights but it takes a lot of time wrestling with SQL to get there. I often find myself having the re-Google the same specific syntax quirks like parsing for dates 30 days in the past, common table expressions, joins etc. AI has been very helpful in allowing users to move more quickly and not re-invent the wheel. Social layer is very interesting! Would not have guessed that it would be a feature request but will keep in that in mind. We do already support generating code explanations but field/column descriptions is also another great idea.

@amy Definitely! We have seen many users using "Ask AI" to explore their idea and figure out what they can do with their existing DB tables first, especially in some big or even middle size companies where there are hundreds of tables across different teams - most people don't have knowledge of all of them. So they usually have to maintain a detailed catalog to help internal users understand how to use them. But searching and reading the giant catalog is still painful. With this "Ask AI" feature, users can narrow down to their target tables using natural language very quickly. After that, they can use a series of our AI SQL tools to generate and optimize their SQL. We also notice there are many complex queries, which contain hundreds of lines SQL and join with >10 tables, written by our users from companies across all different stages. Queries authors don't usually leave comments. Even though they leave some comments, it still takes lots of effort for other people to understand their queries. SQL explainer can be a life saver in this case! And if there happen to be some bug in their queries, SQL fixer can help identify the problem and save tons of time reading queries and pulling data!

@amy AI SQL Copilot can benefit a wide range of individuals and professionals who work with SQL databases. Here are a few examples of people who can benefit from this tool: SQL Developers and Programmers: AI SQL Copilot provides assistance in generating, modifying, and optimizing SQL queries, making the development process faster and more efficient. Database Administrators: Copilot can help database administrators in optimizing database performance by suggesting improvements to existing SQL queries and providing insights into query execution. Data Analysts: With AI SQL Copilot, data analysts can explore complex data queries more effectively and efficiently, allowing them to derive valuable insights and make data-driven decisions. Data Scientists: Copilot can assist data scientists in generating SQL queries for data extraction, transformation, and analysis, saving them time and effort in writing complex queries. Business Users: Even individuals without extensive SQL knowledge can benefit from Copilot's capabilities. By using the "Ask AI" feature, business users can ask questions and explore data by receiving SQL suggestions and insights. Whether you are a seasoned SQL professional or someone who occasionally works with databases, AI SQL Copilot can streamline your workflow, enhance productivity, and empower you to work more effectively with SQL queries.

@amy Additionally, combining with LogicLoop's other functions like combining data from different data sources, scheduling jobs, triggering actions, generating tickets, building dashboards, etc., users can build powerful workflow to automate their operation process even though they are not engineers!

@amy @yi_dduan Thank you, Yi! This is an amazingly comprehensive set of use cases you've captured. What's especially exciting is that so many of these use cases are ahead of us!

@yi_dduan thanks for listing out all of those use cases! I’d be curious to understand how y’all think about data privacy and security with so many personas involved (some technical and some not)?

@jacqueline_xu my favorite has been chatting with the Ask AI bot to get it to generate examples of transactions that my SQL fraud rules would have otherwise missed catching!

@jacqueline_xu I’ve been liking the query generator for day-to-day use myself! It’s nice to just get a quick working query out without trying to remember specific syntax