In what kind of use cases has Spark outperformed Hadoop in processing

Question

Any Idea Anyone ???

Answer 1

I can list some but there can be more to it:

1. Sensor Data Processing –Apache Spark’s ‘In-memory computing’ works best here, as data is retrieved and combined from different sources.
2. Spark is preferred over Hadoop for real time querying of data
3. Stream Processing – For processing logs and detecting frauds in live streams for alerts, Apache Spark is the best solution.