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Intermediate10 min readData Storage & Databases

Database Fundamentals & Types

Core persistence architectures, buffer pools, transactional logging, and disk management — merged with Database Types overview covering SQL tables, NoSQL documents, key-values, wide-column, and graph databases.

What you'll learn

  • Write-Ahead Logging (WAL)
  • Read Replicas & Sync Latency
  • Storage Partitioning (Sharding)

TL;DR

Core persistence architectures, buffer pools, transactional logging, and disk management — merged with Database Types overview covering SQL tables, NoSQL documents, key-values, wide-column, and graph databases.

Visual System Topology

Database Fundamentals & Types Storage Partition Layout

Active Memory Pool RAM Buffer / MemTable
Metadata Hash Index B+ Tree Page Map
Persistent Disk Block SSTable / WAL Log

Concept Overview

Database Fundamentals & Types is a core state-management component designed to guarantee transaction safety, coordinate replica consensus, and preserve structural durability under massive write loads. Core persistence architectures, buffer pools, transactional logging, and disk management — merged with Database Types overview covering SQL tables, NoSQL documents, key-values, wide-column, and graph databases.

Choosing and configuring database storage models represents one of the most complex tasks in system design. Engineers must balance consistency models against write availability bounds, partition tables to prevent storage exhaustion, and design replication failovers to withstand hardware crashes. Understanding Database Fundamentals & Types allows architects to pick the correct engine (SQL vs. NoSQL, LSM vs. B-Tree) to back their active workloads.

Key Architectural Pillars

1

Write-Ahead Logging (WAL)

Writing all state modifications to an append-only log on disk before mutating actual database structures, securing crash durability.

Example: WAL records in transactional databases.
2

Read Replicas & Sync Latency

Decoupling read paths by distributing copy servers, introducing slight data propagation delays (eventual consistency).

3

Storage Partitioning (Sharding)

Splitting massive data tables into independent server shards based on a routing hash to avoid hardware storage walls.

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Database Fundamentals & Types - Module 3: Data Storage & Databases | System Design | Revise Algo