Lakehouse Research Base
Feb 12, 2026 · Big Data
Spark & Flink in Lakehouse: Latency, Accuracy & Cost Trade-offs for Batch-Stream Design
This article analyzes how Spark and Flink should divide responsibilities in lakehouse architectures by evaluating three core dimensions—data latency, computation accuracy, and resource cost—arguing that mature batch-stream integration balances business needs against technical overhead rather than pursuing universal real-time processing.
Batch ProcessingComputation AccuracyData Latency
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