A single-node cluster is ideal for scenarios where a data engineer is working interactively with a small amount of data. Single-node clusters consist of an Apache Spark driver without Spark workers, making them suitable for interactive queries and small datasets. This setup does not scale well, so it's not appropriate for large data or automated reports that need refreshing quickly.