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DistributedLog

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MSMQ

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DistributedLog vs MSMQ: 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; MSMQ: A technology for asynchronous messaging. This technology enables applications running at different times to communicate across heterogeneous networks and systems that may be temporarily offline. Applications send messages to queues and read messages from queues.

DistributedLog and MSMQ can be categorized as "Message Queue" tools.

DistributedLog is an open source tool with 2.26K GitHub stars and 283 GitHub forks. Here's a link to DistributedLog's open source repository on GitHub.

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Pros of DistributedLog
Pros of MSMQ
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    • 2
      Easy to learn
    • 1
      Cloud not needed

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    Cons of DistributedLog
    Cons of MSMQ
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      • 1
        Windows dependency

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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 MSMQ?

      This technology enables applications running at different times to communicate across heterogeneous networks and systems that may be temporarily offline. Applications send messages to queues and read messages from queues.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use DistributedLog?
      What companies use MSMQ?
      See which teams inside your own company are using DistributedLog or MSMQ.
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      What tools integrate with DistributedLog?
      What tools integrate with MSMQ?
        No integrations found
        What are some alternatives to DistributedLog and MSMQ?
        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