Compare streaming frameworks and delivery semantics

Identify widely used streaming and data-processing frameworks, such as Kafka-based stacks, Flink, Spark Streaming, and similar tools.

Describe at-most-once, at-least-once, and exactly-once processing/delivery semantics. Cover the guarantees each one provides, the typical implementation techniques, and their trade-offs.

Overview: This question assesses familiarity with stream processing frameworks and message delivery semantics—at-most-once, at-least-once, and exactly-once—by asking about the guarantees, common implementation methods, and trade-offs involved in distributed data pipelines.