RDD is a clustered collection of data items that is dispersed over multiple computers. Data is represented via RDDs, which are a collection of Java or Scala objects. A DataFrame is a collection of data structured into named columns that is spread across many servers. In a relational database, it is conceptually equivalent to a table. Dataset is a dataframe API extension that offers the RDD API's type-safe, object-oriented programming interface capability. A DataFrame is a distributed collection of data, similar to an RDD, and is not mutable. Data is structured into named columns, similar to a table in a relational database, rather than an RDD. When it comes to simple tasks like grouping data, RDD is slower than both Dataframes and Datasets. It has a simple API for performing aggregate tasks. It can aggregate data quicker than RDDs and Datasets.