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  1. Stackups
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  4. Message Queue
  5. DistributedLog vs MSMQ

DistributedLog vs MSMQ

OverviewComparisonAlternatives

Overview

DistributedLog
DistributedLog
Stacks21
Followers39
Votes0
MSMQ
MSMQ
Stacks33
Followers118
Votes3

DistributedLog vs MSMQ: What are the differences?

DistributedLog and MSMQ are both messaging solutions utilized for communication between distributed systems. Below are the key differences between DistributedLog and MSMQ.

  1. Architecture: DistributedLog is designed as a distributed replicated log service, providing a reliable and high-throughput platform for a large number of clients to produce and consume logs. On the other hand, MSMQ is a message queuing service that offers reliable, asynchronous communication between applications.

  2. Scalability: DistributedLog is designed to be horizontally scalable, allowing it to adapt to varying workloads and an increasing number of clients without compromising performance. In contrast, MSMQ has limitations in scalability due to its centralized architecture, where a single message queue server may become a bottleneck under heavy loads.

  3. Durability: DistributedLog guarantees durability by persisting messages to disk and replicating them across multiple nodes to ensure high availability. In comparison, MSMQ relies on local storage within a centralized server, making it susceptible to data loss in case of server failures.

  4. Consistency: DistributedLog ensures strong consistency among distributed clients by enforcing a strict ordering of messages and maintaining a log of all transactions. MSMQ offers eventual consistency, where messages may be processed out of order in the queue based on the availability of resources.

  5. Protocol Support: DistributedLog supports multiple protocols such as Apache Bookkeeper and Apache ZooKeeper for coordination and management of distributed logs. On the other hand, MSMQ predominantly relies on the proprietary Microsoft Message Queue (MSMQ) protocol for communication between applications.

  6. Community Support: DistributedLog is an open-source project maintained by the Apache Software Foundation, offering a vibrant community of contributors and users for support and collaboration. In contrast, MSMQ is a proprietary technology developed by Microsoft with limited community support outside of official channels.

In Summary, DistributedLog and MSMQ differ in terms of architecture, scalability, durability, consistency, protocol support, and community backing.

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Detailed Comparison

DistributedLog
DistributedLog
MSMQ
MSMQ

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

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.

High Performance;Durable and Consistent;Efficient Fan-in and Fan-out;Various Workloads;Multi Tenant;Layered Architecture
-
Statistics
Stacks
21
Stacks
33
Followers
39
Followers
118
Votes
0
Votes
3
Pros & Cons
No community feedback yet
Pros
  • 2
    Easy to learn
  • 1
    Cloud not needed
Cons
  • 1
    Windows dependency

What are some alternatives to DistributedLog, MSMQ?

Kafka

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

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

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.

Amazon SQS

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.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

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.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

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