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Learn MorePros of Celery
Pros of DoctorKafka
Pros of RabbitMQ
Pros of Celery
- Task queue99
- Python integration63
- Django integration40
- Scheduled Task30
- Publish/subsribe19
- Various backend broker8
- Easy to use6
- Great community5
- Workflow5
- Free4
- Dynamic1
Pros of DoctorKafka
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Pros of RabbitMQ
- It's fast and it works with good metrics/monitoring234
- Ease of configuration79
- I like the admin interface59
- Easy to set-up and start with50
- Durable21
- Intuitive work through python18
- Standard protocols18
- Written primarily in Erlang10
- Simply superb8
- Completeness of messaging patterns6
- Scales to 1 million messages per second3
- Reliable3
- Distributed2
- Supports MQTT2
- Better than most traditional queue based message broker2
- Supports AMQP2
- Clusterable1
- Clear documentation with different scripting language1
- Great ui1
- Inubit Integration1
- Better routing system1
- High performance1
- Runs on Open Telecom Platform1
- Delayed messages1
- Reliability1
- Open-source1
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Cons of Celery
Cons of DoctorKafka
Cons of RabbitMQ
Cons of Celery
- Sometimes loses tasks4
- Depends on broker1
Cons of DoctorKafka
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Cons of RabbitMQ
- Too complicated cluster/HA config and management9
- Needs Erlang runtime. Need ops good with Erlang runtime6
- Configuration must be done first, not by your code5
- Slow4
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- No public GitHub repository available -
What is Celery?
Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
What is DoctorKafka?
DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings.
What is RabbitMQ?
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
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Jobs that mention Celery, DoctorKafka, and RabbitMQ as a desired skillset
What companies use Celery?
What companies use DoctorKafka?
What companies use RabbitMQ?
What companies use DoctorKafka?
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What tools integrate with Celery?
What tools integrate with DoctorKafka?
What tools integrate with RabbitMQ?
What tools integrate with DoctorKafka?
What tools integrate with RabbitMQ?
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What are some alternatives to Celery, DoctorKafka, and RabbitMQ?
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
Cucumber
Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs.
Amazon SQS
Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
ActiveMQ
Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.