Lakehouse architectures centralize data in object storage using open formats, but storage alone does not define database behavior. Execution — how a system handles queries, concurrency, updates, and latency — is what separates a true database from a storage layer. Storage-first models accumulate trade-offs like small file fragmentation, compaction overhead, and unpredictable latency under load, often requiring additional layers to compensate. The real differentiator is the execution engine: one built for interactive workloads handles ingestion, queries, and transactions natively without background reorganization. The lake enables the architecture; the engine defines what the system can actually do.
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Storage Is Not ExecutionWhere a Storage-First Model Starts to BreakWhere the Lakehouse FitsEvery Lakehouse Needs an EngineMaking Lakehouses WorkSort: