How to Analyze Sensitive Data Without Uploading It Anywhere

The problem nobody talks about You export a CSV from your CRM. It has customer emails, revenue numbers, maybe even payment info. You need to answer a quick question: "Which accounts churned last quarter?" So you do what everyone does. You upload it to Google Sheets. Or spin up a Jupyter notebook. Or paste it into some AI chatbot. And just like that, your sensitive data is sitting on someone else's server. For most analysts, this is the default workflow — not because they don't care about privacy, but because the alternatives are painful. Run a local Postgres instance? Write a Python script for a one-off question? That's a 30-minute detour for a 30-second answer. There's a better way. DuckDB in the browser changes everything DuckDB is an embeddable SQL database built for analytics. It's fast, handles CSVs natively, and — crucially — it compiles to WebAssembly, which means it runs entirely inside your browser tab . No server. No upload. No Docker container. Just drag a file in and run SQ