Celery vs Graphile Worker

Celery is a free, open-source distributed task queue for real-time processing and scheduled jobs. It sends task messages through a broker to worker processes, and systems can run multiple workers and brokers for high availability and horizontal scaling. Celery Beat starts tasks at regular intervals for available workers. Documented transports include RabbitMQ, Redis, Amazon SQS, Kafka and Google Pub/Sub, with different capability labels: RabbitMQ and Redis are stable, SQS is stable without monitoring or remote control, and Kafka is experimental without those features. Integrations are documented for Django, Pyramid, Pylons, Flask, web2py, Tornado and FastAPI. Commands inspect and manage workers, while Flower and event utilities provide monitoring options. Celery 5.6 supports Python 3.9 through 3.13 and PyPy 3.9 or newer. It is self-hosted, installable via PyPI or source, and licensed under the New BSD License.

Graphile Worker stores jobs in PostgreSQL and runs them on Node.js, so background work does not hold up application responses. It is free and open source under the MIT license, and is self-hosted in standalone or embedded mode, including within an application server's Node.js process. Jobs execute at least once, and failed jobs are retried automatically with exponential backoff. Recurring tasks can use crontab-like schedules with optional backfill; other controls include de-duplication by unique job_key and batch jobs that append data to queued jobs. The feature list says execution typically begins in under 3ms using PostgreSQL LISTEN/NOTIFY. The current version requires PostgreSQL 12+ and Node 22.18+. Installation is supported through npm, Yarn or pnpm, and global installation is not recommended. Database connections can use SSL encryption and CA certificate configuration. Community help is available through Graphile Discord, with professional support contracts also offered. Worker Pro adds crashed-worker recovery and live migration to new Worker versions.