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Apache Storm vs RabbitMQ: What are the differences?
Apache Storm and RabbitMQ are two popular technologies used for real-time data processing and messaging. Apache Storm is a real-time computation system while RabbitMQ is a message broker that enables communication between applications. Below are the key differences between Apache Storm and RabbitMQ:
Processing Model: Apache Storm uses a stream processing model where data is processed as it flows through the system in real-time. On the other hand, RabbitMQ follows a message queuing model where messages are stored in queues and processed sequentially.
Use Case: Apache Storm is commonly used for real-time analytics, event processing, and continuous computation tasks where low latency is critical. RabbitMQ, on the other hand, is often used for decoupling applications, asynchronous communication, and load balancing in distributed systems.
Scalability: Apache Storm is designed for horizontal scalability, meaning it can easily scale by adding more machines to the cluster. RabbitMQ, on the other hand, can be scaled vertically by upgrading hardware resources on a single machine.
Reliability: Apache Storm guarantees fault-tolerance through built-in mechanisms like tuple tracking and acking to ensure data processing reliability. RabbitMQ ensures message delivery reliability by persisting messages to disk and supporting message acknowledgments.
Complexity: Apache Storm can be more complex to set up and configure due to its distributed nature and real-time processing requirements. RabbitMQ, on the other hand, is generally easier to set up and use for simple messaging scenarios.
Message Delivery Guarantee: Apache Storm processes data in near real-time with no guarantee of message delivery, focusing on low latency. RabbitMQ, on the other hand, ensures message delivery through queues, even if the consumer is temporarily unavailable.
In Summary, Apache Storm focuses on real-time processing with a stream processing model, while RabbitMQ is a message broker designed for reliable asynchronous messaging and decoupling applications.
Pros of Apache Storm
- Flexible10
- Easy setup6
- Event Processing4
- Clojure3
- Real Time2
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 Apache Storm
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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What is Apache Storm?
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