Celery: Distributed Task Queue vs Apache Pulsar
Struggling to choose between Celery: Distributed Task Queue and Apache Pulsar? Both products offer unique advantages, making it a tough decision.
Celery: Distributed Task Queue is a Development solution with tags like python, asynchronous, task-queue, job-queue, distributed.
It boasts features such as 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. and pros including Reliability - Tasks run distributed across nodes provides fault tolerance, Flexibility - Many configuration options to tune and optimize, Active community - Well maintained and good documentation.
On the other hand, Apache Pulsar is a Development product tagged with pubsub, messaging, distributed-systems, low-latency, durable-storage.
Its standout features include Multi-tenancy, Geo-replication, Automatic data partitioning, Tiered storage, Low publish latency, Guaranteed message delivery, Multiple subscription modes, and it shines with pros like High throughput, Low latency, Durable message storage, Flexible scalability, Multiple subscription modes.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Celery: Distributed Task Queue
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.
Categories:
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.
Pricing
- Open Source
Pros
Cons
Apache Pulsar
Apache Pulsar is an open-source distributed pub-sub messaging system originally created by Yahoo and now under the Apache Software Foundation. It is horizontally scalable, provides low latency and durable storage for messages.
Categories:
Apache Pulsar Features
- Multi-tenancy
- Geo-replication
- Automatic data partitioning
- Tiered storage
- Low publish latency
- Guaranteed message delivery
- Multiple subscription modes
Pricing
- Open Source