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DistributedLog
DistributedLog

12
27
+ 1
0
Hutch
Hutch

3
5
+ 1
0
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DistributedLog vs Hutch: What are the differences?

Developers describe DistributedLog as "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. On the other hand, Hutch is detailed as "Inter-Service Communication with RabbitMQ". Hutch is a Ruby library for enabling asynchronous inter-service communication in a service-oriented architecture, using RabbitMQ.

DistributedLog and Hutch can be primarily classified as "Message Queue" tools.

Some of the features offered by DistributedLog are:

  • High Performance
  • Durable and Consistent
  • Efficient Fan-in and Fan-out

On the other hand, Hutch provides the following key features:

  • A simple way to define consumers (queues are automatically created and bound to the exchange with the appropriate binding keys)
  • An executable and CLI for running consumers (akin to rake resque:work)
  • Automatic setup of the central exchange

DistributedLog and Hutch are both open source tools. DistributedLog with 2.25K GitHub stars and 283 forks on GitHub appears to be more popular than Hutch with 712 GitHub stars and 103 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 Hutch?

Hutch is a Ruby library for enabling asynchronous inter-service communication in a service-oriented architecture, using RabbitMQ.
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            What are some alternatives to DistributedLog and Hutch?
            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.
            See all alternatives
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