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Database History

Database

  • Definition: A system for organizing, storing, and retrieving information.

  • Purpose: Transform raw data into usable structure, meaning, and control.

DB Functions

  • Storage

  • Retrieval

  • Organization

  • Computation

  • Control

DB Constraints

  • Scale

  • Speed

  • Consistency

  • Availability

  • Cost

Phases pre-2000

Mechanical Era (1801–1950s)

  • Artifacts: Punch cards, tabulating machines

  • Key Figure: Jacquard, Hollerith

  • Model: Physical encoding of information

  • Limitation: Static, slow, space-bound

Electronic / Navigational Era (1950s–1960s)

  • Artifacts: Magnetic tape, mainframes

  • Model: Navigational databases

  • Key Idea: Records linked by explicit paths

  • Limitation: Rigid structure, fragile change

Relational Era (1970s–1990s)

  • Key Figure: Edgar F. Codd

  • Model: Tables, rows, columns

  • Language: SQL

  • Property: Declarative access (“what,” not “how”)

  • Outcome: Standardization, portability, dominance

Phases post-2000

Distributed / NoSQL Era (2000s)

  • Drivers: Web scale, cloud computing

  • Model: Distributed, eventually consistent systems

  • Tradeoff: Consistency ↔ Availability

  • Examples: Dynamo, Bigtable, Cassandra

Polyglot Era (2010s+)

  • Pattern: Multiple databases per application

  • Types:

    • Key–value

    • Document

    • Graph

    • Time-series

  • Infrastructure: Managed cloud services

AI / Semantic Era (2020s+)

  • Model: Vector databases

  • Data Type: Meaning, embeddings

  • Use Case: Semantic search, AI reasoning

Future Directions

  • Quantum data models

  • Neural memory interfaces

  • Decentralized trust systems