COMPARISONS

Spark vs Ray: batch processing and distributed applications

Comparison dimensions

  • The difference between dataset computation and general task orchestration
  • Dependencies, resource declarations, and scheduling
  • The boundaries between batch processing, training, serving, and data workflows
  • Debugging, observability, and production operations

The comparison separates a data-processing engine from a distributed application runtime instead of grouping them by name alone.