NATS vs RabbitMQ vs NSQ vs Kafka

Developer Tools App Development Queueing, Messaging And Background Processing Queue Management Message Queue Data Streaming

NATS Landing Page
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NATS

NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.
Pricing:
- Open Source
NATS is known for its high performance, low latency, and emphasis on simplicity after it was rewritten in Go. Its rewrite in Go makes NATS an ideal choice for demanding and real-time applications and has increased its throughput compared to its original Ruby implementation.

#Developer Tools #Queueing, Messaging And Background Processing #App Development 63 social mentions
RabbitMQ Landing Page
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RabbitMQ

RabbitMQ is an open source message broker software.
Pricing:
- Open Source
RabbitMQ follows a standard store-and-forward pattern, allowing messages to be stored in RAM, on disk, or both. To ensure the persistence of messages, the producer can tag them as persistent, and they will be stored in a separate queue. This helps achieve message retention even after a restart or failure of the RabbitMQ server.

#Data Integration #Web Service Automation #Stream Processing 1 social mentions
NSQ Landing Page
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NSQ

A realtime distributed messaging platform.
Pricing:
- Open Source
NSQ is designed with a distributed architecture around the concept of topics, which allows messages to be organized and distributed across the cluster. To ensure reliable delivery, NSQ replicates each message across multiple nodes within the NSQ cluster. This means that if a node fails or there’s a disruption in the network, the message can still be delivered to its intended recipients.

#Data Integration #Stream Processing #Web Service Automation 7 social mentions
Apache Kafka Landing Page
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Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Pricing:
- Open Source
One of the biggest drawbacks of Apache Kafka is the architecture that makes it so efficient. The combination of brokers and ZooKeeper nodes, along with numerous configurable options, can make it difficult and complex for new teams to set up and manage without encountering performance issues or data loss. However, Kafka can work without ZooKeeper after 3.3.1 version using Kraft improving performance.

#Stream Processing #Data Integration #ETL 120 social mentions