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The Database Safari

Exploring Vector, Time¿Series, Graph, Columnar/OLAP, and Geospatial Databases in the Wild

Medium: Buch
ISBN: 979-8-8688-2708-2
Verlag: APRESS L.P.
Erscheinungstermin: 02.09.2026
vorbestellbar, Erscheinungstermin ca. Dezember 2026

Pack 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.

Starting 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.

What You Will Learn

  • Identify the right engine for the job across vector, time-series, graph, columnar/OLAP, geospatial, and event-stream databases
  • Evaluate trade-offs in performance, scalability, consistency, storage layout, indexing, and operational complexity
  • Design polyglot architectures that combine multiple engines (e.g., vector + OLAP + event-stream) for end-to-end solutions
  • Apply use-case patterns for similarity search (ANN), observability metrics, fraud/network analysis, geospatial routing, and analytical reporting
  • Understand core internals that matter (index types, retention policies, log-structured storage, spatial indexes, columnar execution) without vendor lock-in
  • Avoid common pitfalls in schema design, query planning, and cross-engine data movement
  • Build a decision checklist and trade-off 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 real-world applications


Produkteigenschaften


  • Artikelnummer: 9798868827082
  • Medium: Buch
  • ISBN: 979-8-8688-2708-2
  • Verlag: APRESS L.P.
  • Erscheinungstermin: 02.09.2026
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2026
  • Produktform: Kartoniert
  • Seiten: 187
  • Format (B x H): 178 x 254 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

1. Foundations of SQL and NoSQL: The Basics of Relational and Non-Relational Databases.- 2. Columnar/OLAP Databases: Large-Scale Aggregation.- 3. Lakehouse Table Formats: ACID Tables on Object Storage.- 4. Event-Stream and Append-Only Databases: Managing Sequential, Immutable Data.- 5. Time-Series Databases: Handling High-Volume Temporal Data.- 6. Probabilistic/Approximate Databases: Trading Accuracy for Efficiency.- 7. Vector Databases and High-Dimensional Search: Semantic Similarity at Scale.- 8. Graph Databases: Modeling Highly Connected Data.- 9. Geospatial and Spatial Databases: Storing and Querying Location-Based Data.- 10. Choosing and Combining the Right Engine: Hybrid Architectures.