Why use four different DBs when one can handle documents, graphs, and relational data? PostgreSQL (with JSON support) and ArangoDB are leading this charge.
Edgar F. Codd, a British computer scientist working for IBM, proposed the relational model. Instead of trees or networks, data was stored in tables (relations) with rows and columns. This gave birth to the RDBMS (Relational Database Management System). Oracle, founded in 1979, became the first commercial RDBMS. Why use four different DBs when one can
Oracle and AWS are pushing "self-driving" databases that use machine learning to automatically patch, tune, and upgrade themselves without human intervention. Codd, a British computer scientist working for IBM,
With the rise of Generative AI and LLMs like ChatGPT, Vector DBs (like Pinecone, Weaviate, and pgvector) are exploding. They store mathematical vector embeddings to power semantic search and long-term memory for AI agents. Oracle, founded in 1979, became the first commercial RDBMS
But why is understanding the "DB" so critical for businesses and developers today? Because data is the new oil, and the database is the refinery. Without a robust DB strategy, modern enterprises would collapse under the weight of their own information. To appreciate where we are, we must look at where we started.