COMPARISONS

Spark vs Daft: different data-processing models

Comparison dimensions

  • How DataFrames and expressions organize computation
  • How lazy plans, operators, and execution engines connect
  • How files, columnar data, and partitions are handled
  • Ecosystem maturity, extension points, and deployment boundaries

The goal is not to declare a universal winner, but to clarify whether the projects solve the same problem and where they can complement each other.