IronMQ Alternatives & Competitors
(1)2.5 out of 5
Looking for alternatives to IronMQ? Tons of people want Message Queue (MQ) Software. What's difficult is finding out whether or not the software you choose is right for you. MuleSoft Anypoint Platform, IBM MQ, Apache Kafka, and RabbitMQ are the most popular alternatives and competitors to IronMQ.
Top Alternatives to IronMQ
- MuleSoft Anypoint Platform
- IBM MQ
- Apache Kafka
- RabbitMQ
- ZeroMQ
- Azure Scheduler
- Google Cloud Pub/Sub
- Apache ActiveMQ
- MuleSoft Anypoint Platform(487)4.5 out of 5Optimized for quick response
Anypoint Platform™ is a complete platform that lets companies realize business transformation through API-led connectivity. It is is a unified, flexible integration platform that solves the most challenging connectivity problems across SOA, SaaS and APIs.
Categories in common with IronMQ: - IBM MQ(86)4.3 out of 5Optimized for quick response
IBM® MQ, formerly WebSphere MQ, is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms. It uses message queues to exchange information and offers a single messaging solution for cloud, on premise, mobile and IoT environments. By connecting virtually everything, from a simple pair of applications to the most complex business environments, it improves responsiveness, controls costs, reduces risk and provides real-time insight from data. It is available in a standard edition, an advanced edition, as an appliance and in a z/OS version.
Categories in common with IronMQ: - Apache Kafka(54)4.4 out of 5
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java.
Categories in common with IronMQ: - RabbitMQ(17)4.0 out of 5
Messaging that just works
Categories in common with IronMQ: - ZeroMQ(22)4.3 out of 5
ZeroMQ is a high-performance asynchronous messaging library, aimed at use in distributed or concurrent applications. It provides a message queue, but unlike message-oriented middleware, a ZeroMQ system can run without a dedicated message broker.
Categories in common with IronMQ: - Azure Scheduler(27)4.3 out of 5
Azure Scheduler allows you to declaratively describe actions to run in the cloud. It then schedules and runs those actions automatically. Azure Scheduler lets you create jobs in the cloud that invoke services inside and outside of Azure such as calling HTTP/S endpoints or posting messages to Azure Storage queues, or Azure Service Bus queues or topics.
Categories in common with IronMQ: - Google Cloud Pub/Sub(24)4.6 out of 5
Google's Cloud Pub/Sub is a simple, reliable, scalable foundation for stream analytics and event-driven computing systems.
Categories in common with IronMQ: - Apache ActiveMQ(13)4.3 out of 5
Apache ActiveMQ is a popular and powerful open source messaging and Integration Patterns server.
Categories in common with IronMQ: - Amazon MQ(16)3.5 out of 5
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.
Categories in common with IronMQ: - IBM Cloud Pak for Integration(12)4.2 out of 5
Set up the appropriate organizational models and governance practices to support agile integration, simplify the management of your integration architecture and reduce cost with the IBM Cloud Pak™ for Integration. Running on Red Hat® OpenShift®, the IBM Cloud Pak for Integration gives businesses complete choice and agility to deploy workloads on premises and on private and public clouds.
Categories in common with IronMQ: - KubeMQ(10)4.5 out of 5
KubeMQ is a Kubernetes Message Queue Broker Enterprise-grade message broker and message queue, scalable, high available and secured.
Categories in common with IronMQ: - IBM MQ on Cloud(6)4.3 out of 5
MQ is the gold standard for enterprise messaging, providing secure and reliable messaging on premise and across multiple clouds
Categories in common with IronMQ: - Azure Queue Storage(4)3.3 out of 5
Azure Queue storage provides cloud messaging between application components. Queue storage gives you asynchronous message queueing for communication between application components, whether they are running in the cloud, on the desktop, on-premises, or on mobile devices.
Categories in common with IronMQ: - TIBCO Enterprise Message Service(4)5.0 out of 5Optimized for quick response
TIBCO Enterprise Message Service, our standards-based Java Message Service (JMS) broker allows any application that supports JMS, whether home grown or third-party, to quickly and easily exchange messages. Fully certified with both the JMS 1.1 and 2.0 specifications ensures compatibility with other applications as well as a loosely coupled design for less overhead, time, and cost. As part of TIBCO Messaging, it supports seamless integration for heterogeneous platforms, reduces system bottlenecks, increases scalability, and helps you respond faster to change.
Categories in common with IronMQ: - Red Hat AMQ(3)4.2 out of 5
To respond to business demands quickly and efficiently, you need a way to integrate applications and data spread across your enterprise. Red Hat AMQ—based on open source communities like Apache ActiveMQ and Apache Kafka—is a flexible messaging platform that delivers information reliably, enabling real-time integration and connecting the Internet of Things (IoT).
Categories in common with IronMQ: - CloudAMQP(2)4.3 out of 5
CloudAMQP automates every part of setup, running and scaling of RabbitMQ clusters. Available on all major cloud and application platforms.
Categories in common with IronMQ: - Alibaba Message Service(2)4.3 out of 5
Alibaba Cloud Message Service is a distributed message queuing and notification service that supports concurrent operations to facilitate message transfer between applications and decoupled systems. Alibaba Cloud Message Service enables users to move data between distributed applications to achieve complex tasks, and build decoupled fault tolerant applications.
Categories in common with IronMQ: - Alibaba Message Queue(2)4.3 out of 5
Alibaba Cloud Message Queue (MQ) is a distributed message queue service independently developed by Alibaba and fully hosted on the Alibaba Cloud platform. It supports reliable message-based asynchronous communication among microservices, distributed systems, and serverless applications. This service can be used to easily create a scalable distributed system with loose coupling and high availability
Categories in common with IronMQ: - PubSub+(2)4.5 out of 5
Solace PubSub+ is a message broker that lets you establish event-driven interactions between applications and microservices across hybrid cloud environments using open APIs and protocols.
Categories in common with IronMQ: - Intel MPI Library(2)3.3 out of 5
Intel MPI Library is a multifabric message-passing library that implements the open-source MPICH specification. Use the library to create, maintain, and test advanced, complex applications that perform better on HPC clusters based on Intel processors.
Categories in common with IronMQ:
#1
GT
Runtime Manager - Extremely easy to deploy new applications and perform a basic analysis for any kind of problem.
Design Center - For me, the best tool to design and define new services in RAML....Read more
#2
CF
Available integration capabilities with different platforms. Fast and very reliable communication
#3
AC
I like the simplicity of setup of Kafka broker in cluster mode. It permits to have a three powerful Kafka brokers by using even a single virtual low cost machine. The interaction with the cluster...Read more
#4
EZ
Message Broker with monitoring. Availability to have a cluster for High availability. There are multiples clients and also it's very easy to install, configure and use
#5
UR
I like the straightforwardness of ZeroMQ API. It is logical and transparent.
#6
IC
The interface is very easy to use. It offers different type of jobs to run with the scheduler like HTTP or HTTPs jobs that can inboke actions to be executed on both old and new endpoints running...Read more
#7
UC
can use it to send small messages that trigger things to happen, or to send large chunks of data around our global system.
#8
UT
A perfect solution for comunicate systems with diferents technologies.
You can enqueue requests without overload your main system.
You can adminintrate it with a web interface.
#9
NM
The abiluty to get help from customer service when you dont understand something. It was a little hard to navigate. I like that it works with your existing applications and services without the...Read more
#10
II
its way better than ICP, enhancements can be done more
#11
MK
lightweight 30 mb binary(especially comparing to Kafka), easy to install, feat well with service mesh( in my case it was linkerd), grpc interface from the box
#12
GU
Functional rich and easy to use; integration with lots of tools.
#13
UH
I like how the program is designed for ease
#14
AS
The messaging is fast, reliable and the ease of administering and configuring makes it an asset. The fault tolerant feature provides a high-available environment,.
#15
RL
Red Hat AMQ is a good option, but there are better message queue platforms available in the market, taking me as an example ... implement Red Hat AMQ in the company, but then I discover that there...Read more
#16
AI
Solution is very stable and easy to deploy. Very flexible plans and fast support.
You can put the enhanced metrics into your own CloudWatch or ask them to install the Prometheus plugin and scrape...Read more
#17
MH
Se trata de un servicio de pago por uso, por lo que el servicio de mensajería de Alibaba no requiere ninguna inversión inicial y te evita la molestia de tener que ampliar tu propia plataforma de...Read more
#18
NB
Alibaba Cloud Message queue is an excellent message middleware. It supports a fairly reliable asynchronous communication, in a great option to freely transmit data between application components at...Read more
#19
PD
Working with Solace Vendor is awesome. their products are very good like pubsub, Solace PCF tile
#20
UH
Achieve the best latency, bandwidth, and scalability through automatic tuning for the latest Intel® platforms.
Reduce the time to market by linking to one library and deploying on the latest...Read more
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