In addition to RDDs, Spark also provides the DataFrame API, which offers a higher-level abstraction for working with structured data. DataFrames in Spark are similar to tables in a database, and they provide a more intuitive way to manipulate data.

We can perform various operations on DataFrames, such as filtering, aggregating, and joining. For example, we can use the filter operation to select rows that meet specific criteria, or use the groupBy operation to group data by a particular column and compute aggregations on each group.