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🗄️ From Data Lake to Lakehouse

A 3D architecture lab where you toggle a raw object-storage data lake against a lakehouse with a transactional table layer, and watch schema drift, concurrent writes and query reliability change live.

Data Science3DModerate60 FPS

Toggle between a raw object-storage data lake and a lakehouse with a transactional table layer, then adjust concurrent writers and schema drift to watch query reliability change live.

🔬 What It Demonstrates

Object storage alone accepts any bytes from any writer with no locking or schema checks. A table layer adds a commit log that serializes writes, enforces schema and hands queries one consistent snapshot.

🎮 How to Use

Switch storage mode, raise concurrent writers and schema drift, then press Run Query. Compare the success rate between raw-lake scans and lakehouse snapshot reads.

💡 Did You Know?

Formats like Delta Lake and Apache Iceberg don't replace your object storage — they add a metadata and commit-log layer on top of the same Parquet files, so lakehouses can be adopted incrementally.

⚙ Under the hood

Interactive 3D storage architecture where adding a transactional table layer over raw object storage shows how a data lake evolves into a queryable lakehouse.

data-lakelakehouseobject-storagetable-formatsbig-datadata-architecturedata-science

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