What is the difference between Apache Spark and Kafka?

The question is about Apache Spark

Answer:

Apache Spark is a distributed framework for processing large-scale data, capable of handling both batch and stream processing. Kafka, on the other hand, is a distributed event streaming platform used to build real-time data pipelines and stream-processing applications. While Spark is used to process and analyze data, Kafka specializes in the ingestion, storage, and distribution of data streams in real time. They are often used together, with Kafka feeding data into Spark for further processing.

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