Amazon Simple Queue Service vs Celery: Distributed Task Queue

Amazon Simple Queue Service

Description: Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS offers a reliable, highly scalable, hosted queue for storing messages in transit between computers.

Type: software

Celery: Distributed Task Queue

Description: Celery is an open source Python library for handling asynchronous tasks and job queues. It allows defining tasks that can be executed asynchronously, monitoring them, and getting notified when they are finished. Celery supports scheduling tasks and integrating with a variety of services.

Type: software

Pricing: Open Source

Amazon Simple Queue Service Features

• Message queuing and processing
• Decouple and scale microservices, distributed systems, and serverless applications
• Reliable - Deliver messages at least once, keeps messages for up to 14 days
• Scalable - Automatically scales as your system load increases
• Hosted - Fully managed, no servers to provision or manage
• Accessible via REST APIs or SDKs for easy integration

Celery: Distributed Task Queue Features

• Distributed - Celery is designed to run on multiple nodes
• Async task queue - Allows defining, running and monitoring async tasks
• Scheduling - Supports scheduling tasks to run at specific times
• Integration - Integrates with many services like Redis, RabbitMQ, SQLAlchemy, Django, etc.

Amazon Simple Queue Service

• Not listed

Celery: Distributed Task Queue

• Open Source