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LogicLoop AI SQL Copilot — Generate SQL with AI for business and data teams
LogicLoop is an AI SQL copilot. Ask your data any question using natural language. AI can auto suggest, generate, fix and optimize SQL queries to help you find relevant insights. Get the results directly on your own data in seconds.
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@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.
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.
Love this!! Wish this product was live a decade ago. Nice work! Going to share this with everyone I meet who is leaning SQL.
@inaherlihy Thanks! It's amazing how SQL has been around for decades and the staying power that it has. Excited to bring in a new era of SQL with AI
@moeali454 Thank you so much, can't wait for you to try it out and share your feedback!
@mistone Thank you! Yes, we're seeing it actually helps people all the way from SQL-curious to SQL-beginner to SQL-experts.
This is a really great tool. Many people struggle with the basics or feel stuck at some point.
@bartvandekooij Yes, absolutely! That's what prevents someone who might otherwise be capable from trying in the first place, that it looks too hard or is not easy to debug. We're hoping to change that.
Great to see companies like LogicLoop investing in beating the gap between data and non-data people!
Very cool! looking forward to this obviating me to re-look-up the different JOINs every infrequent occasion I have to use them :D Very cool! looking forward to this obviating me to re-look-up the different JOINs every infrequent occasion I have to use them :D Very cool! looking forward to this obviating me to re-look-up the different JOINs every infrequent occasion I have to use them :D
@geraldlogor Thank you so much, and thank you for being such a supportive and long-time LogicLoop user.
This is SO helpful! I write SQL queries rarely, which means I feel rusty every time I do. This will totally help bridge the gap for me.
Is there a way to teach it about the schema and how it works? For example, maybe people forget to check `discarded_at` with certain queries — it would be cool if LogicLoop could help those queries be more consistently constructed to check all the conditions.
@alexzirbel Excited to hear this can prove helpful for you!
The Copilot is aware of your data schema, allowing for consistent query construction that works directly with your data. Moreover, LogicLoop also supports saving Query Snippets, enabling you to reuse code pieces, including those generated by the AI Copilot, which can be a valuable time-saver.
@parthi_logan Thank you so much, can't wait for you to try it out and share your feedback
@parthi_logan Thanks Parthi! Very exciting to finally publicize what we've been working on
@marcbhargava @jesika_haria Thanks Marc and we're happy to answer any questions you may have!
This looks cool! I'm interested in getting better at using SQL and learning ways it might be helpful in our org - any tips on how to get the most out of the tool?
@calvinling626 The #1 thing I'd say is to have a good business problem you want to apply it to, and some way of getting access to your data (don't worry if you don't have your database, you can literally connect Google Sheets). Then you can just sit back, ask your data any questions and have it generate SQL for you!
@calvinling626 My recommendation is to just get started and troubleshoot your way to success! This is one of those things where you don't know what you don't know until you try. It's the fastest to learn by doing. I would also take full advantage of the AI debugging functionality to help you figure things out. Can't wait for you to try! Let us know if you have any feedback.
@calvinling626 @jacqueline_xu Totally agree, that sometimes just digging in is the best lesson itself.
This would have been such a game-changer when I was at Twitter and Stripe! We (Product and Product Marketing teams) were constantly blocked waiting on Data Science/eng to help us debug queries or write complex ones. This tool will give business teams the superpowers they need to make data-driven decisions. Curious if you can share a few more specific examples of how early users have been using it? Which types of users do you think it benefits the most?
@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!
@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)?
As an engineering leader at a high growth fintech, I’m always trying to find ways to save time. Looking forward to more launches that can help my team write SQL faster!
@jainp Thanks! It's a great tool for both experts and engineers to accelerate their productivity and also for non-technical users and beginners to get started and learn.
@lenny_rachitsky Thank you so much, can't wait for you to try it out and share your feedback!
I've spent hours writing SQL queries both during my time at Stripe as well as at several startups that I've worked at. Using AI to help accelerate the process makes a ton of sense. I've already saved many hours of writing boilerplate SQL statements and debugging tricky bugs by asking AI for help. I don't think AI is going to completely replace data analysts but it's definitely going to be a huge boost in increasing productivity.
Excited to see where products like this go and the impact it can have for both business users and data engineers. Curious what are the favorite use cases you've seen so far for this tool?
@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
@sangoitejas Thank you so much for supporting us, Tejas! Really appreciate it.
LogicLoop AI SQL Copilot