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ActiveMQ
ActiveMQ

200
235
+ 1
51
DistributedLog
DistributedLog

14
30
+ 1
0
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ActiveMQ vs DistributedLog: What are the differences?

Developers describe ActiveMQ as "A message broker written in Java together with a full JMS client". 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. On the other hand, DistributedLog is detailed 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.

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

ActiveMQ and DistributedLog are both open source tools. DistributedLog with 2.25K GitHub stars and 283 forks on GitHub appears to be more popular than ActiveMQ with 1.5K GitHub stars and 1.05K GitHub forks.

What is 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.

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.
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          What are some alternatives to ActiveMQ and DistributedLog?
          RabbitMQ
          RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
          Kafka
          Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
          Apollo
          Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
          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.
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          How developers use ActiveMQ and DistributedLog
          Avatar of Casey Smith
          Casey Smith uses ActiveMQActiveMQ

          Remote broker and local client for incoming data feeds. Local broker for republishing data feeds to other systems.

          How much does ActiveMQ cost?
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