DistributedLog vs pg-amqp-bridge

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DistributedLog
DistributedLog

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27
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pg-amqp-bridge
pg-amqp-bridge

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DistributedLog vs pg-amqp-bridge: What are the differences?

DistributedLog: High-performance replicated log service, by Twitter. DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems; pg-amqp-bridge: 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.

DistributedLog and pg-amqp-bridge can be primarily classified as "Message Queue" tools.

DistributedLog and pg-amqp-bridge are both open source tools. DistributedLog with 2.25K GitHub stars and 283 forks on GitHub appears to be more popular than pg-amqp-bridge with 251 GitHub stars and 14 GitHub forks.

What is DistributedLog?

DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems.

What is pg-amqp-bridge?

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.
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              What are some alternatives to DistributedLog and pg-amqp-bridge?
              Kafka
              Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
              RabbitMQ
              RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
              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.
              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.
              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.
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