9 Types of Databases Story

One app. Nine databases. One very long night at 2 AM. 🍜💥 Follow Munchly, a tiny food-delivery startup, as it grows from three engineers to millions of hungry users. Every time it hits a wall, it needs a new kind of database. By the end, you'll know what each type is for, how it works under the hood, and when it will (or won't) save your weekend. We cover all 9 major database types: 🔵 Relational (SQL): Oracle, PostgreSQL, MySQL, SQL Server, MariaDB, SQLite 🔴 Columnar: Amazon Redshift, Google BigQuery, ClickHouse, MonetDB, HBase 🟡 Time-Series: InfluxDB, TimescaleDB, QuestDB, OpenTSDB 🟢 In-Memory: Redis, SAP HANA, Apache Ignite, Oracle TimesTen 🟣 Graph: Neo4j, Amazon Neptune, Azure Cosmos DB, JanusGraph 🟠 Document: MongoDB, Couchbase, Amazon DocumentDB, Cloud Firestore 🩷 Vector: Pinecone, Weaviate, Milvus, Qdrant, Chroma, Redis Stack 🩵 Object-Oriented: db4o, ZODB, ObjectDB, Versant 🔷 Blockchain: BigchainDB, CovenantSQL, Hyperledger Fabric, MultiChain Along the way: ACID transactions, B-tree indexes, row vs column storage, compression tricks, retention policies, cache invalidation, graph traversal, sharding, the CAP theorem, embeddings, cosine similarity, HNSW, RAG, hash chains, and smart contracts. All animated, no boring slides. ⏱️ CHAPTERS 00:00 Cold open: the 2 AM page 01:24 Relational (SQL) 05:05 Columnar 08:14 Time-Series 11:03 In-Memory 14:06 Graph 16:33 Document 19:15 Vector 22:20 Object-Oriented 24:23 Blockchain 26:33 The Big Picture + pop quiz + cheat sheet 💬 Which database is carrying your team right now, and which one are you lowkey suspicious of? Tell me in the comments 👇 👍 If this saved you a future headache, hit like. 🔔 Subscribe. The next deep dive is already cooking. #databases #systemdesign #sql #nosql #vectordatabase #backend #softwareengineering