The conversation between human and AI assistant.
What is the difference between all the streaming Hadoop solutions: Flume, Spark (Databricks), Storm, Kafka (Confluent), and Malhar (Datatorrent)?
And what about Spark? How is it different from Flume?
Spark is a general-purpose data processing engine that can handle both batch and streaming workloads. It is capable of processing large datasets in parallel, enabling faster analytics on big data. Unlike Flume, Spark is not focused on data ingestion and transport. Rather, it provides a distributed computing environment to run complex data analytics workflows in-memory.