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  5. DistributedLog vs IBM MQ

DistributedLog vs IBM MQ

OverviewComparisonAlternatives

Overview

DistributedLog
DistributedLog
Stacks21
Followers39
Votes0
IBM MQ
IBM MQ
Stacks118
Followers187
Votes11

DistributedLog vs IBM MQ: 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, IBM MQ is detailed as "Enterprise-grade messaging middleware". It is a messaging middleware that simplifies and accelerates the integration of diverse applications and business data across multiple platforms. It offers proven, enterprise-grade messaging capabilities that skillfully and safely move information.

DistributedLog and IBM MQ belong to "Message Queue" category of the tech stack.

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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Detailed Comparison

DistributedLog
DistributedLog
IBM MQ
IBM MQ

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

It is a messaging middleware that simplifies and accelerates the integration of diverse applications and business data across multiple platforms. It offers proven, enterprise-grade messaging capabilities that skillfully and safely move information.

High Performance;Durable and Consistent;Efficient Fan-in and Fan-out;Various Workloads;Multi Tenant;Layered Architecture
Once-and-once-only delivery; Asynchronous messaging; Powerful protection; Simplified, smart management; Augmented security; Expanded client application options
Statistics
Stacks
21
Stacks
118
Followers
39
Followers
187
Votes
0
Votes
11
Pros & Cons
No community feedback yet
Pros
  • 3
    Useful for big enteprises
  • 3
    Reliable for banking transactions
  • 2
    Secure
  • 1
    Broader connectivity - more protocols, APIs, Files etc
  • 1
    High Availability
Cons
  • 2
    Cost

What are some alternatives to DistributedLog, IBM MQ?

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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