pg-boss vs Celery

PBpg-boss8.7Visit Celery8.6Visit

Higher score PB pg-boss #6 in Task Queue Software 8.7/10 Free plan Free plan✓ 3 of 3 features Visit pg-boss

vs

Celery #7 in Task Queue Software 8.6/10 Open source ✓ 3 of 3 features Visit Celery

• pg-boss fits best

  PostgreSQL-backed JavaScript queues

• Celery fits best

  Python teams needing mature distributed tasks

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Side by side

Feature	PBpg-boss 8.7/10 Visit ↗	Celery 8.6/10 Visit ↗
At a glance
Editor score	8.7	8.6
Ranking	#6 in Task Queue Software	#7 in Task Queue Software
Best for	PostgreSQL-backed JavaScript queues	Python teams needing mature distributed tasks
Pricing model	Free	Free
Starting price	Free plan	Open source
Free plan	✓ (best)	Not checked yet
Free trial	—	—
Deployment	Self-hosted	Self-hosted
Platforms	Web	Linux, macOS
Support	Docs	Community, Docs
Integrations	9 integrations	10 integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features pg-boss 3/3 · Celery 3/3
Custom retry policy	✓	✓
Scheduled jobs	✓	✓
Dead-letter queue	✓	✓
Specs
Deployment model	Self_hosted	Self_hosted
Maximum payload size	Not checked yet	Not checked yet
Official SDK languages	JavaScript, TypeScript	Python
Our review
Pros	Retries, backoff, redriveable dead-letter queues, and dependencies Cron, RRULE, deferred jobs, throttling, and debouncing Adapters for Knex, Kysely, Drizzle, and Prisma	Runs tasks across worker processes and machines Flexible retries, scheduling, routing, and concurrency options Broad broker, backend, database, and search integrations
Cons	Self-hosted deployment requires operational ownership Its core fit is strongest for PostgreSQL-compatible systems Official SDK support centers on JavaScript and TypeScript	Official SDK coverage is Python-only Teams manage workers, brokers, and result stores themselves Dead-letter handling depends on broker configuration
Our verdict	pg-boss is an open-source background job queue for Node.js applications, built on PostgreSQL for asynchronous execution and worker processing. It suits JavaScript teams that want queue infrastructure alongside an existing PostgreSQL-backed… Read the review →	Celery is an open-source, self-hosted distributed task queue for Python applications. It lets applications submit asynchronous work through a message broker while workers execute tasks across processes or machines. The feature set suits… Read the review →

Strengths and trade-offs

• pg-boss — where it wins

  • Retries, backoff, redriveable dead-letter queues, and dependencies
  • Cron, RRULE, deferred jobs, throttling, and debouncing
  • Adapters for Knex, Kysely, Drizzle, and Prisma

  Where it doesn't

  • Self-hosted deployment requires operational ownership
  • Its core fit is strongest for PostgreSQL-compatible systems
  • Official SDK support centers on JavaScript and TypeScript

• Celery — where it wins

  • Runs tasks across worker processes and machines
  • Flexible retries, scheduling, routing, and concurrency options
  • Broad broker, backend, database, and search integrations

  Where it doesn't

  • Official SDK coverage is Python-only
  • Teams manage workers, brokers, and result stores themselves
  • Dead-letter handling depends on broker configuration

• PBpg-boss8.7/10 · Free plan

  A deep, self-hosted queue for JavaScript teams already working with PostgreSQL.

  Visit pg-bossFull verdict →
• Celery8.6/10 · Open source

  A mature self-hosted queue for Python teams that need distributed task control.

  Visit CeleryFull verdict →