Beschreibung
Pack your field kitthis is a guided safari through todays database ecosystem. In the wild, one size rarely fits all: Modern systems often need specialized databases to deliver realworld performance and scale. This book is a practical field guide to those less commonly used databasesvector, timeseries, graph, columnar/OLAP, geospatial, eventstream, and more. It shows you how each engine works, where it excels, and how to choose the right engine for each workload. The book provides clear tradeoff tables, indexing strategies, query patterns, and usecase recipes you can apply immediately. Starting with foundations in SQL and NoSQL, this book explores each species chapter by chapter, emphasizing handson scenarios and pitfalls to avoid. It then brings everything together in polyglot/hybrid architectures, helping you combine engines confidently, whether youre designing a similarity search with vector databases (ANN), building observability pipelines on timeseries data and event logs, modeling relationships in graph databases, or delivering analytics with columnar/OLAP and geospatial queries. The result is a concise, engineerfirst map of the database landscape that turns theory into pragmatic decisionmaking. What You Will Learn Identify the right engine for the job across vector, timeseries, graph, columnar/OLAP, geospatial, and eventstream databases Evaluate tradeoffs in performance, scalability, consistency, storage layout, indexing, and operational complexity Design polyglot architectures that combine multiple engines (e.g., vector + OLAP + eventstream) for endtoend solutions Apply usecase patterns for similarity search (ANN), observability metrics, fraud/network analysis, geospatial routing, and analytical reporting Understand core internals that matter (index types, retention policies, logstructured storage, spatial indexes, columnar execution) without vendor lockin Avoid common pitfalls in schema design, query planning, and crossengine data movement Build a decision checklist and tradeoff tables to justify engine selection to stakeholders Who This Book Is For Software engineers; back-end developers; data engineers; system architects; site reliability engineers (SREs); technical leads with basic SQL/NoSQL experience who need practical guidance to select, compare, and combine specialized databases for realworld applications
Autorenporträt
Gabor Koos is a software engineer and technical writer based in London, England, United Kingdom, specializing in backend systems, distributed architectures, and modern database technologies. He has designed and built large-scale, data-intensive platforms across media, online gaming, finance, and government, with a focus on database design, performance optimization, and scalable system architectures. He also maintains open-source projects that support developer tooling and data processing.
Herstellerkennzeichnung:
APress in Springer Science + Business Media
Heidelberger Platz 3
14197 Berlin
DE
E-Mail: juergen.hartmann@springer.com
