A database’s architecture shapes its performance for specific tasks. This session explains why Relational databases, with rigid schemas excel for structured, transactional workloads; NoSQL systems, using document or key-value models, prioritize flexibility and scale; NewSQL blends SQL standards with distributed systems for high-concurrency environments but sacrifices latency; and data warehouses leverage columnar storage for massive analytical queries yet struggle with live applications. We cover how key architectural components like data storage structure, distributed node processing, transactional models, and CAP theorem trade-offs—introduce benefits and trade-offs, revealing why each database suits certain use cases but not others. You’ll gain a practical framework to evaluate any open-source database for Linux systems, enabling confident, informed selections.