Difference between RDDs and DataFrames in Spark
| RDDs (Resilient Distributed Datasets) | DataFrames |
|---|---|
| Low-level distributed data structure | High-level distributed data structure |
| Provides a fault-tolerant collection | Provides a distributed collection |
| Supports only unstructured data | Supports structured and semi- |
| structured data | |
| Offers limited optimizations | Offers advanced optimizations |
| No built-in schema enforcement | Enforces schema and data integrity |
| More suitable for complex computations | More suitable for SQL-like operations |
