Kafka vs pg-amqp-bridge: What are the differences?
Developers describe Kafka as "Distributed, fault tolerant, high throughput pub-sub messaging system". Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design. On the other hand, pg-amqp-bridge is detailed as "Send Messages from PostgreSQL to RabbitMQ". This tool enables a decoupled architecture, think sending emails when a user signs up. Instead of having explicit code in your signup function that does the work (and slows down your response), you just have to worry about inserting the row into the database.
Kafka and pg-amqp-bridge belong to "Message Queue" category of the tech stack.
Kafka and pg-amqp-bridge are both open source tools. Kafka with 12.7K GitHub stars and 6.81K forks on GitHub appears to be more popular than pg-amqp-bridge with 251 GitHub stars and 14 GitHub forks.
What is Kafka?
What is pg-amqp-bridge?
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Front-end messages are logged to Kafka by our API and application servers. We have batch processing (on the middle-left) and real-time processing (on the middle-right) pipelines to process the experiment data. For batch processing, after daily raw log get to s3, we start our nightly experiment workflow to figure out experiment users groups and experiment metrics. We use our in-house workflow management system Pinball to manage the dependencies of all these MapReduce jobs.
Building out real-time streaming server to present data insights to Coolfront Mobile customers and internal sales and marketing teams.