Data Systems

Databases Demystified Relational NoSQL and NewSQL Databases come in three families: relational, NoSQL, and NewSQL. Each has strengths and trade-offs. This guide explains the basics in plain terms and helps you pick what fits your project. This simple overview can save time during planning. Relational databases Relational databases store data in tables with rows and columns. They use SQL and enforce ACID properties—Atomicity, Consistency, Isolation, Durability. This makes transactions reliable and predictable. Joins connect data across tables, which is great for structured models like customers and orders. If your schema is stable and data integrity matters, a relational DB is often the best starting point. This setup reduces data duplication and makes audits easier. ...

Database Architectures: From SQL to NewSQL and Beyond Database design has evolved to meet new demands for speed, scale, and reliability. Traditional SQL databases laid a solid foundation with a clear schema, powerful joins, and strict ACID guarantees. They are still the go‑to choice for transactional workloads, where data integrity and familiar SQL syntax matter. But as data grows and user expectations rise, teams look for ways to run reliable applications at scale without sacrificing data clarity. The result is a spectrum of architectures, each tuned for different goals. ...