Why Database Column Compression Saves Millions episode artwork

EPISODE · Jun 10, 2026 · 9 MIN

Why Database Column Compression Saves Millions

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

Episode 43 of Database Tech with Fexingo digs into column-level compression — a technique that reduced one company's storage bill by 70 percent and sped up analytic queries by 40 percent. Lucas and Luna break down how compression works under the hood, why it's not a one-size-fits-all solution, and which database systems support it natively. They also discuss trade-offs: decompression overhead for write-heavy workloads, and how to choose the right algorithm (dictionary, run-length, or delta encoding) for your data. If you've ever wondered why your cloud database bill keeps climbing despite aggressive indexing, this episode offers a concrete, actionable fix. Plus: a quick note on listener support that keeps this show ad-free. #ColumnCompression #DatabaseStorage #SQL #NoSQL #DataEngineering #PostgreSQL #MySQL #Snowflake #Redshift #CloudCosts #CompressionAlgorithms #DictionaryEncoding #RunLengthEncoding #DeltaEncoding #QueryPerformance #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

Episode metadata supplied by the publisher feed · Published Jun 10, 2026

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Why Database Column Compression Saves Millions

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This episode was published on June 10, 2026.

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