Use SQLBot to generate SQL code from text, ideal for quick data analysis.
Automations that extract insights like user purchase history from Amazon or product sales from Google Sheets.
SQLBot helps you save time by converting natural language questions into SQL queries, allowing for faster data analysis and visualizations.
"A founder wants to know their top-selling product on Amazon. They ask SQLBot to 'Show me the best-selling product category on Amazon.' SQLBot generates the SQL code, and the founder runs it on their database, getting the desired insights in minutes."
Pick this up when you start working with databases and want to speed up your data analysis.
Senior engineers and data scientists will reach for this when they need to integrate natural language processing with SQL queries for complex data analysis.
Don't confuse SQLBot with a full-fledged data integration platform, as it's primarily designed for generating SQL queries from text.
SQLBot generates SQL queries from natural language inputs, allowing founders to perform conversational data analysis
git clone https://github.com/dataease/SQLBot.git && cd SQLBotcurl -X POST -H 'Content-Type: application/json' -d '{"query": "What is the average order value for customers in the US?"}' http://localhost:3000/queryRead the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
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