Meitu Technology

Aug 2, 2018 · Big Data

Spark Streaming vs Flink – Architecture, Scheduling & Fault Tolerance

This article compares Spark Streaming and Flink across runtime models, component roles, programming APIs, task scheduling, time semantics, dynamic Kafka partition detection, fault‑tolerance mechanisms, exactly‑once guarantees, and back‑pressure handling, providing code examples and practical insights for real‑time data processing.