Datachoose
Turn Every Link Into a Conversion Tool
14 followers
Turn Every Link Into a Conversion Tool
14 followers
Datachoose is an enterprise-ready smart link platform that goes far beyond URL shortening. It combines deep analytics, AI-driven insights, adult content filtering, and cybersecurity checks into a single, easy-to-use system. Every link becomes a measurable, secure, and intelligent asset.
This is the 2nd launch from Datachoose. View more
datachoo.se
Launching today
Upload any SQLite, .db, or .sql file and explore it instantly. Browse tables, run custom SQL queries, and visualise schema relationships as an interactive diagram. Completely free.
Free
Launch Team
Hello everyone!
Let me share an experience with you which made me build this tool.
It was 11 PM. My colleague had sent over a .db file attached to a Slack message: "can you just quickly check if the orders table has a created_at column?" I was on my work laptop. DB Browser wasn't installed. DBeaver was a 150 MB install away.
That's the moment I built the DB Viewer. Because "quick check" should actually be quick.
The hidden cost of heavy desktop tools:
DB Browser for SQLite is genuinely excellent software — but it's a 25 MB download, and if you're on a machine you don't own, helping a colleague remotely, or just doing a one-off inspection, that overhead is ridiculous. The database file is often 50 KB. The tool to open it shouldn't weigh 500× more.
Drag, drop, done:
The datachoo.se DB Viewer lets you drag and drop any .db, .sqlite, or .sql file and start exploring in under 3 seconds:
Click any table in the sidebar to page through its rows — with sorting, search, and column type hints
Write raw SQL in the built-in query editor and see results instantly.
Switch to Diagram view to see your entire schema as an interactive graph — every foreign key drawn as a live arrow you can follow.
The diagram view is the part people love most.
Understanding a schema by reading CREATE TABLE statements is like understanding a city by reading street addresses. The diagram puts every table on a canvas, draws the relationships between them, and lets you zoom, pan, and drag tables into an arrangement that makes sense to you. Foreign keys that used to require careful reading become obvious at a glance.
Your data stays yours:
The uploaded file lives in your browser session and is discarded when you close the tab. Nothing is stored in a database, and nothing is sent to third parties. The file travels from your machine to the server for parsing and immediately back — no logs, no cold storage.
Real use case: auditing a legacy app:
A developer used the DB Viewer to audit an old Electron desktop app's local SQLite database before migrating it to PostgreSQL. In ten minutes, they'd mapped 22 tables, identified 8 foreign key relationships that weren't documented anywhere, and exported the full schema diagram as a reference for the migration team. That would have taken a full morning with manual documentation.
The tool is completely free and at early stage, let me know what you think and what new features would you like to use.