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EPISODE · Oct 5, 2026 · 8 MIN

Why Your Database Chokes on Simple Queries

from Database Tech with Fexingo: SQL, NoSQL, and Data Storage Conversations · host Fexingo

We dig into the hidden cost of index bloat and how over-indexing actually slows down writes in modern systems. Using a specific case from a mid-sized e-commerce platform that saw write latency spike after adding too many secondary indexes, we explore the trade-offs between read speed and storage efficiency. Lucas breaks down the mechanics of B-tree overhead while Luna challenges the assumption that more indexes always mean faster queries. This episode reveals why your database might be wasting money on indexes you don't need. #DatabaseOptimization #IndexBloat #TechEconomics #SystemDesign #EngineeringCosts #DataArchitecture #WriteLatency #ReadPerformance #StorageEfficiency #DatabaseAdmin #SoftwareEngineering #CloudInfrastructure #FexingoBusiness #BusinessPodcast #TechTalk #DataScience #ITManagement #OperationalExcellence Keep every episode free: buymeacoffee.com/fexingo

Episode metadata supplied by the publisher feed · Published Oct 5, 2026

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Why Your Database Chokes on Simple Queries

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This episode is 8 minutes long.

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This episode was published on October 5, 2026.

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