Which of the following is NOT a benefit of using Spark?

The correct response indicates that higher memory consumption than Hadoop is not a benefit of using Spark. In fact, when comparing Spark with Hadoop, one of the notable distinctions is that Spark utilizes in-memory processing, which can lead to increased memory usage. This characteristic allows Spark to perform faster computations compared to Hadoop's disk-based processing, but it also means that the application could consume more memory depending on the workload and data size being processed.

Understanding Spark's advantages includes features like its ability to support multiple programming languages, such as Scala, Java, Python, and R, which makes it more accessible to a broader audience of developers. Additionally, its ease of use with data streaming gives users the ability to process real-time analytics effortlessly, further emphasizing its effectiveness in handling diverse data processing tasks. Thus, while higher memory consumption is a technical consideration, it does not classify as a benefit.