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🗄️ SQL vs NoSQL Under the Hood

Switch between PostgreSQL, MongoDB and Redis to watch how each engine actually stores and routes a query: a B-tree index walk, sharded document routing, or an O(1) in-memory hash lookup, with replicas and consistency modes you control.

AI & Machine Learning3DAdvanced60 FPS

Switch between PostgreSQL, MongoDB and Redis and watch a live query travel through each engine's real storage structure — a B-tree index walk, sharded document routing, or a flat in-memory hash lookup.

🔬 What It Demonstrates

Each engine's architecture is rendered as 3D geometry: PostgreSQL's B-tree index and disk heap, MongoDB's mongos router and shards, and Redis's flat RAM hash grid — with replica nodes syncing behind the primary.

🎮 How to Use

Pick a database engine, then tune query rate, replica count and shard count. Toggle Strong vs Eventual consistency to see replication lag and read latency respond in real time.

💡 Did You Know?

Redis reads are typically sub-millisecond because there is no index tree to walk and no disk seek — the entire dataset already lives in RAM as one big hash table.

⚙ Under the hood

Machine LearningData ModelingDatabasesSQLNoSQLPostgreSQLMongoDBRedisThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install