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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Overview We’ve been working with, building, and evangelizing message queues for the last year, and it’s no secret that we think they’re awesome. We believe message queues are a vital component to any architecture or application, which is why we’ve put so much work into IronMQ. As you consider these 10 reasons, look into the ways…

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Batch processing is one of the earliest ways of data processing, utilized by Herman Hollerith’s Tabulating Machine in 1890. Batch processing was developed to take advantage of scarce computing resources: it avoids idling these expensive resources by queueing instructions to process data without manual user intervention, and can shift workload to times when resources are…

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