Why Database Storage Engines Matter for Performance

In this episode of Database Tech with Fexingo, Lucas and Luna dive into the often-overlooked layer beneath your queries: the storage engine. Using the real-world case of a mid-size e-commerce company that switched from InnoDB to MyRocks for write-heavy workloads, they explain how storage engines like B-tree vs LSM-tree affect insert throughput, compression, and read latency. Lucas breaks down the trade-offs with specific numbers—30% less storage space, 2x write throughput—while Luna questions when the complexity is worth it. Engineers who think 'just use InnoDB' will learn why choosing the right engine can be as important as indexing strategy. Hosts discuss the resurgence of LSM engines in 2026 and how cloud-native databases like Spanner and YugabyteDB abstract engine choices. A must-listen for anyone designing tables for high-volume ingestion or hybrid workloads. #DatabaseStorageEngines #InnoDB #MyRocks #BTrees #LSMTrees #WriteOptimized #Compression #ECommerceDatabase #MySQL #YugabyteDB #GoogleSpanner #HighThroughput #DatabaseInternals #DataEngineering #PerformanceTuning #TechPodcast #DatabaseTechWithFexingo #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo