Spark Streaming was added to Apache Spark in 2013, an extension of the core Spark API that allows data engineers and data scientists to process real-time data from various sources like Kafka, Flume, ...

Hence, Apache Kafka was born. What about Apache Spark? Well, as Gorman points out, Spark is capable of real-time processing, but isn’t optimally suited to it. The Spark streaming frameworks are ...

Apache Kafka, originally developed at LinkedIn, is one of the most mature platforms for event streaming. Adjuncts to Kafka include Apache Flink, Apache Samza, Apache Spark, Apache Storm ...

You end up reorganizing, grouping and adding a schema with a whole bunch of pipelines,” built with Apache Spark and ... other features. “Kafka is the first time in a streaming pipeline that ...