You learned SQL in school. Every developer does. But SQL is just one of six fundamentally different ways databases store data — and your stack probably needs at least two of them.
This video breaks down all six paradigms — from the boring one to the one that powers ChatGPT.
**Chapters:**
0:00 — Hook
0:14 — Relational / SQL (PostgreSQL, MySQL, SQL Server)
0:49 — Document (MongoDB)
1:20 — Key-Value (Redis)
1:47 — Graph (Neo4j)
2:18 — Columnar (BigQuery, Snowflake, ClickHouse)
2:48 — Vector (Pinecone, Weaviate, pgvector)
3:21 — Recap
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Why is the Panama Papers case famous in graph-database circles? Why does ChatGPT need a vector database? When is Redis the wrong answer? And what does it actually mean to "flip the storage" from rows to columns?
Real-world examples from real companies — Netflix, Google, the Panama Papers investigation, ChatGPT.
📌 Subscribe — every video, another broken pattern.
#Database #SQL #MongoDB #Redis #Neo4j #VectorDatabase #BigQuery #PostgreSQL #BackendDevelopment #SoftwareEngineering #SystemDesign
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