{"product_id":"9798868827082","title":"The Database Safari: Exploring Vector, Time‑Series, Graph, Columnar\/OLAP, and Geospatial Databases in the Wild","description":"\u003ch1\u003eThe Database Safari: Exploring Vector, Time‑Series, Graph, Columnar\/OLAP, and Geospatial Databases in the Wild\u003c\/h1\u003e \u003ch2\u003eKoos, Gabor\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003ePack your field kit—this is a guided safari through today’s database ecosystem. In the wild, one size rarely fits all: Modern systems often need specialized databases to deliver real‑world performance and scale. This book is a practical field guide to those less commonly used databases—vector, time‑series, graph, columnar\/OLAP, geospatial, event‑stream, 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 trade‑off tables, indexing strategies, query patterns, and use‑case recipes you can apply immediately.\u003c\/p\u003e\n\u003cp\u003eStarting with foundations in SQL and NoSQL, this book explores each “species” chapter by chapter, emphasizing hands‑on scenarios and pitfalls to avoid. It then brings everything together in polyglot\/hybrid architectures, helping you combine engines confidently, whether you’re designing a similarity search with vector databases (ANN), building observability pipelines on time‑series data and event logs, modeling relationships in graph databases, or delivering analytics with columnar\/OLAP and geospatial queries. The result is a concise, engineer‑first map of the database landscape that turns theory into pragmatic decision‑making.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul style=\"list-style-type: disc;\"\u003e\n\u003cli\u003eIdentify the right engine for the job across vector, time‑series, graph, columnar\/OLAP, geospatial, and event‑stream databases\u003c\/li\u003e\n\u003cli\u003eEvaluate trade‑offs in performance, scalability, consistency, storage layout, indexing, and operational complexity\u003c\/li\u003e\n\u003cli\u003eDesign polyglot architectures that combine multiple engines (e.g., vector + OLAP + event‑stream) for end‑to‑end solutions\u003c\/li\u003e\n\u003cli\u003eApply use‑case patterns for similarity search (ANN), observability metrics, fraud\/network analysis, geospatial routing, and analytical reporting\u003c\/li\u003e\n\u003cli\u003eUnderstand core internals that matter (index types, retention policies, log‑structured storage, spatial indexes, columnar execution) without vendor lock‑in\u003c\/li\u003e\n\u003cli\u003eAvoid common pitfalls in schema design, query planning, and cross‑engine data movement\u003c\/li\u003e\n\u003cli\u003eBuild a decision checklist and trade‑off tables to justify engine selection to stakeholders\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eWho This Book Is For\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSoftware 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 real‑world applications\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-12-31\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9798868827082\u003c\/p\u003e \u003cp\u003eDOI: \u003c\/p\u003e \u003cp\u003eDimensions: 254cm x178cm\u003c\/p\u003e \u003cp\u003ePages: \u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":46548906573964,"sku":"9798868827082","price":38.69,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9798868827082.jpg?v=1777388025","url":"https:\/\/lateknightbooks.com\/products\/9798868827082","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}