Which tool or service is NOT used for handling near real-time data?

Apache Pig is primarily designed for batch processing and data flow scripts in a Hadoop environment, which makes it less suited for handling near real-time data. It is optimized for processing large datasets in a parallel manner, enabling efficient data transformation and analysis, but it lacks the capabilities to process streams of data as they are generated or to respond to events in real time.

In contrast, Apache Kafka, Apache Spark, and Amazon Kinesis are all tailored for near real-time data handling. Kafka is a distributed streaming platform that excels at building real-time data pipelines and streaming applications. Apache Spark has streaming capabilities that allow it to process data in near real time, and Amazon Kinesis is specifically designed for real-time data ingestion and processing in the AWS ecosystem. These tools are structured to handle continuous data streams, making them suitable for dynamic, real-time applications.