Dev Tools · 2h ago
Block vs. Object Storage: Why Analytics Moved to Slower Storage and Got Faster
Object storage is 50-100x slower than block storage in latency, yet it now powers most analytical data, lakehouses, and training sets. This paradox is resolved by file formats like Apache Parquet, table formats like Apache Iceberg, and query engines like Dremio that neutralize latency weaknesses. The article explains how these layers turn cheap, durable object storage into interactive analytics.
Meridian48 take
The piece convincingly argues that raw latency is overrated at scale, but it glosses over the engineering complexity and cost of the workarounds needed to make object storage performant.
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Block vs. Object Storage: A Deep Dive Into the Foundation of Modern Data, and How the Lakehouse Made the Slow Option Fast →
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