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  5. Amazon MQ vs Apache Pulsar

Amazon MQ vs Apache Pulsar

OverviewDecisionsComparisonAlternatives

Overview

Apache Pulsar
Apache Pulsar
Stacks118
Followers199
Votes24
Amazon MQ
Amazon MQ
Stacks55
Followers325
Votes12

Amazon MQ vs Apache Pulsar: What are the differences?

Amazon MQ: Managed Message Broker Service for ActiveMQ. Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud; Apache Pulsar: Distributed solution providing messaging and queuing for streaming data. Apache Pulsar is a distributed messaging solution developed and released to open source at Yahoo. Pulsar supports both pub-sub messaging and queuing in a platform designed for performance, scalability, and ease of development and operation.

Amazon MQ and Apache Pulsar can be primarily classified as "Message Queue" tools.

"Supports low IQ developers" is the top reason why over 3 developers like Amazon MQ, while over 4 developers mention "Simple" as the leading cause for choosing Apache Pulsar.

Apache Pulsar is an open source tool with 6.24K GitHub stars and 1.51K GitHub forks. Here's a link to Apache Pulsar's open source repository on GitHub.

MercadoLibre, Patients Know Best, and Zaihui are some of the popular companies that use Apache Pulsar, whereas Amazon MQ is used by Queue-it, Better, and SaleCycle. Apache Pulsar has a broader approval, being mentioned in 3 company stacks & 43 developers stacks; compared to Amazon MQ, which is listed in 6 company stacks and 22 developer stacks.

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Advice on Apache Pulsar, Amazon MQ

MITHIRIDI
MITHIRIDI

Software Engineer at LightMetrics

May 8, 2020

Needs adviceonAmazon SQSAmazon SQSAmazon MQAmazon MQ

I want to schedule a message. Amazon SQS provides a delay of 15 minutes, but I want it in some hours.

Example: Let's say a Message1 is consumed by a consumer A but somehow it failed inside the consumer. I would want to put it in a queue and retry after 4hrs. Can I do this in Amazon MQ? I have seen in some Amazon MQ videos saying scheduling messages can be done. But, I'm not sure how.

303k views303k
Comments

Detailed Comparison

Apache Pulsar
Apache Pulsar
Amazon MQ
Amazon MQ

Apache Pulsar is a distributed messaging solution developed and released to open source at Yahoo. Pulsar supports both pub-sub messaging and queuing in a platform designed for performance, scalability, and ease of development and operation.

Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud.

Unified model supporting pub-sub messaging and queuing; Easy scalability to millions of topics; Native multi-datacenter replication; Multi-language client API; Guaranteed data durability; Scalable distributed storage leveraging Apache BookKeeper
-
Statistics
Stacks
118
Stacks
55
Followers
199
Followers
325
Votes
24
Votes
12
Pros & Cons
Pros
  • 7
    Simple
  • 4
    Scalable
  • 3
    High-throughput
  • 2
    Multi-tenancy
  • 2
    Geo-replication
Cons
  • 1
    LImited Language support(6)
  • 1
    Very few commercial vendors for support
  • 1
    Only Supports Topics
  • 1
    Not jms compliant
  • 1
    No guaranteed dliefvery
Pros
  • 7
    Supports low IQ developers
  • 3
    Supports existing protocols (JMS, NMS, AMQP, STOMP, …)
  • 2
    Easy to migrate existing messaging service
Cons
  • 4
    Slow AF
Integrations
No integrations available
AWS IAM
AWS IAM
Amazon CloudWatch
Amazon CloudWatch
ActiveMQ
ActiveMQ

What are some alternatives to Apache Pulsar, Amazon 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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