categories.language Basic

Concurrency vs Parallelism: What Is the Difference?

AI Practice

Concurrency vs Parallelism

Definitions

Concurrency Multiple tasks appear to run simultaneously but may interleave (possible on single core)

  • Focus: managing and switching between tasks
  • Analogy: one chef handling multiple dishes by switching attention

Parallelism Multiple tasks truly run simultaneously (requires multiple cores)

  • Focus: actual simultaneous computation
  • Analogy: multiple chefs each making one dish

Relationship

  • Parallelism is a subset of concurrency
  • You can be concurrent without being parallel, but not parallel without being concurrent
  • Concurrency is a design concern; parallelism is a hardware concern

Implementation by Language/Framework

Language Concurrency True Parallelism
Node.js Event Loop + async/await Worker Threads
Python asyncio / threading multiprocessing
Go Goroutines + Channels Yes (GOMAXPROCS)
Java Threads Yes
Rust async/await + tokio Yes

Interview bonus: Rob Pike (Go designer): "Concurrency is about dealing with lots of things at once. Parallelism is about doing lots of things at once."

✦ AI Mock Interview

Type your answer and get instant AI feedback

Sign in to use AI scoring

Copyright © 2026 Wood All Rights Reserved · FE Interview Hub