How to Choose Message Queue Technology Selection

With dozens of options for message queue technology, even experienced professionals can feel frustrated when choosing the right microservices for their needs. The perfect messaging queue for your organization will depend on unique factors, such as how much you can afford to spend and how quickly you need your apps to process requests. The following…

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Overview Finding the best message queue for your organization gains importance as your networks and application integrations become more complex. You need a fail-safe message queue that sends requests quickly and reliably. Just one break in the chain can slow your entire system, making it difficult for you to complete business processes and fulfill client needs. It…

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Overview Pricing always plays a role when choosing IT tools. Ideally, you want to get a great product that doesn’t bloat your budget. When you have a limited amount of money to spend, though, it’s tempting to choose the cheapest messaging queues. Saving money makes sense unless you select a messaging queue solution that makes…

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Overview Pub/Sub is, at its most basic, a form of asynchronous messaging providing service to service communication. Serverless situations often call for pub/sub, as do microservice architectures, to ensure that messages get to every part of a service that needs that information. Various systems use pub/sub messaging services, so let’s take a deeper look at…

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Overview Language: Iron.MQ is language agnostic and Redis RQ supports Python, JavaScript, Ruby and GO, along with many others. Performance: Redis RQ is quite different from Iron.MQ and other message queuing services because it is not purely a message queuing system. Because of its in-memory database, it is best for real-time messages where persistence isn’t…

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Overview Language: Firebase Cloud Messaging makes use of Java, Kotlin, XML, C, C++, SQLite in terms of languages and databases while Iron.MQ is language-agnostic. Performance: Firebase Cloud Messaging replaced Google Cloud Messaging in 2018 as an upgraded version that offers users a seamless and modern experience. To achieve this feat, they added a plethora of…

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Overview Enterprise messaging systems connect business applications for ease in sharing data. Apache Kafka is an open-source solution boasting high performance and works well with big data. IronMQ is a reliable cloud-based system with many features and flexible deployment options. Kafka falls flat with ease of use and simplicity compared to IronMQ While both systems…

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Overview Language: Apache ActiveMQ supports a plethora of Cross Language clients and standard protocols like Java, Ruby, Perl, Python and PHP. Iron.mq also supports all major programming languages. Performance: Although both message services are top performers in their field, Iron.mq proves to be the faster, more powerful, and more reliable option with the bonus of…

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11 Best Heroku Messaging Queue Add Ons No system is perfect, and Heroku is no exception, but they do have a solution. The company offers a range of add ons to increase the use for their clients. These come from a number of outside connections and provide versatility and flexibility. If your apps or data…

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  VS Overview Discover the five key differences between Beanstalk vs Iron.MQ: Language: Beanstalk is pure Python but using client libraries users can configure the message queue to operate using a fair amount of language options including Ruby, Rails, Java, JavaScript, Haskell and PHP. Iron.MQ supports all major programming languages without the added hassle. Performance:…

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