Web-based Database GUI

Difficulty	Intermediate
Team Size	2-3 people
Time	~30-35 hours
Demo-ready by	Step 5
Prerequisites	Node.js, SQL basics, HTML/CSS/JavaScript
Built by	DBeaver, TablePlus, Adminer, pgAdmin

Skills you'll earn: SQL query execution, schema introspection, database drivers, query builders, connection pooling

Start with running a query. End with a full database management tool.

(Assumes starting from scratch with basic HTML/CSS/JS knowledge)

Step 1: Connect and query (~2-3 hours)

You have a database. You want to run SQL without opening a terminal.

• Set up a Node.js server with Express
• Connect to a PostgreSQL or MySQL database using the appropriate driver
• Create a single API endpoint: POST /query that accepts raw SQL and returns the result as JSON
• Build a frontend with a <textarea> for the query and a "Run" button

You now have: A web-based SQL prompt.

Step 2: Display results as a table (~2 hours)

JSON in a <pre> tag is hard to scan.

• Render the query result as an HTML table
• Auto-generate column headers from the result keys
• Handle empty results gracefully
• Show the row count and execution time

You now have: A readable result viewer.

Step 3: Schema browser (~3-4 hours)

You don't remember your table names. You're running \dt through the query box.

• Query the database's information schema to list all tables
• Display them in a sidebar
• Click a table to see its columns, types, and constraints
• Click a column to auto-fill a SELECT query

You now have: A schema explorer.

Step 4: Query history (~2-3 hours)

You ran a great query yesterday. It's gone.

• Save every executed query with its timestamp to localStorage (or a server-side table)
• Show a history panel with past queries
• Click to re-run or edit a previous query
• Add a "favorite" button for queries you want to keep

You now have: Query history and favorites.

Step 5: Inline editing (~3-4 hours)

You need to fix a typo in one row. Writing an UPDATE statement for one cell is painful.

• Make table cells editable on double-click
• Track which cells have been modified
• Generate and execute the appropriate UPDATE statement
• Show a confirmation before applying changes

You now have: Spreadsheet-like editing.

Step 6: Multi-database support (~4-5 hours)

You have Postgres in production and SQLite in development.

• Abstract the database connection behind a driver interface
• Support PostgreSQL, MySQL, and SQLite
• Let the user configure connections (host, port, database, credentials)
• Store connection profiles (encrypted at rest)

You now have: A multi-engine database client.

Step 7: Export and import (~2-3 hours)

• Export query results as CSV, JSON, or SQL INSERT statements
• Import CSV files into existing tables
• Support creating tables from CSV headers

Step 8: Query builder (~4-5 hours)

• Build a visual query builder: pick table, select columns, add WHERE conditions
• Generate SQL from the visual builder
• Let users switch between visual and raw SQL mode

Step 9: Security (~3-4 hours)

• Add authentication (login required to access)
• Role-based access (read-only vs. full access)
• Query audit logging
• Prevent destructive queries (DROP, TRUNCATE) without confirmation

Step 10: Deploy (~2-3 hours)

• Containerize the app
• Never expose database credentials to the frontend
• Run behind a reverse proxy with TLS
• Add CI/CD

Useful Resources

• pg (node-postgres) — PostgreSQL client for Node.js
• mysql2 (GitHub) — MySQL client for Node.js
• better-sqlite3 (GitHub) — Fast SQLite3 driver for Node.js
• CodeMirror — Extensible code editor for the browser (great for SQL input)
• Information Schema — PostgreSQL Docs — Querying database metadata
• Express.js — Web framework for the API layer

Where to go from here

• ER diagram generation from schema
• Query auto-complete and syntax highlighting
• Saved dashboards (pin query results as widgets)
• Collaboration features (share queries with team)
• Support for NoSQL databases (MongoDB, Redis)