Bridging Java’s Data Gap: Efficient Processing for the 'Missing Middle'

Developers often abandon Java for Python when datasets exceed memory limits but don't require Spark's complexity. This streaming-first approach proves the JVM can handle millions of records efficiently by prioritizing lazy evaluation and constant memory usage over eager materialization.