Drop CSV files here or click to browse
Import multiple files to create your virtual database
๐ป SQL Query Editor
๐ก Example Queries
Import CSV files to see relevant example queries
Turn CSV files into a relational database instantly. Query with real SQL, detect relationships automatically, analyze privately โ all in your browser.
Import multiple files to create your virtual database
Import CSV files to see relevant example queries
Intelligent analysis identifies foreign keys and table relationships based on column names, cardinality patterns, and value overlaps.
Turn messy export names into clean schema labels with inline editing. No schema migration required.
Automatically detects numerical, categorical, unique, date-like, and boolean columns for accurate query planning.
Full SQL support with joins, aggregates, filters, and unions. Results appear in milliseconds with syntax highlighting.
Everything runs client-side. Your data never leaves your browser. No servers, no uploads, no tracking.
Query results can be downloaded as CSV for further analysis or sharing with your team.
Query raw CSV exports with SQL power without loading data into a database. Perfect for ad-hoc analysis and data exploration.
Debug data slices, test SQL queries, and validate transformations without spinning up infrastructure.
Handle sensitive data without uploading to third-party services. Ideal for healthcare, finance, and personal data analysis.
Practice SQL queries and relational modeling with real datasets without database setup or server access.
Quickly merge multiple data exports, explore relationships, and generate insights without BI tool overhead.
Escape Excel fatigue. Query, join, and aggregate data the way it was meant to be analyzed โ with SQL.