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DistributedLog

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39
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Hutch

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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.

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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 companies use DistributedLog?
What companies use Hutch?
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What tools integrate with DistributedLog?
What tools integrate with Hutch?
    No integrations found
    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.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    See all alternatives