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 Technological trends over the last decade have made it possible for organizations to rely on “as a service” models. Instead of purchasing software, companies can pay service providers for access to the specific tools and services that they need. FaaS, which stands for “function as a service,” provides a robust, cloud-based approach to helping…

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Overview Architecture: IronWorker is a hosted job processing solution that lets you manage container-based workloads. Dynos are isolated Linux containers in Salesforce Heroku that facilitate code based on various commands. Purpose: Use dynos to execute code for specific commands. Use IronWorker to manage and schedule these containers. Scalability: Both IronWorker and dynos scale but in different ways.…

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Overview Architecture: IronWorker is a server-less on-demand task processing solution for managing container-based workloads. Sidekiq is a background processing tool that handles various jobs at the same time. Language: IronWorker is “language agnostic.” It runs in a multi-language containerized environment. Sidekiq runs on Ruby. Scalability: IronWorker is a lot easier to scale than Sidekiq. Price: IronWorker…

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Overview Language: Amazon SQS is compatible with Java, Ruby, Python, .NET, PHP, JavaScript and Java Message Service (JMS) but Iron.mq supports all major coding languages. Performance: Amazon SQS is easier to use for beginners while Iron.mq is a developer friendly option and performs more consistently. Scalability: Iron.mq is highly scalable because it runs on top…

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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 Key similarities and differences between IBM MQ and IronMQ Iron.io focuses on the modern cloud, building all its tool with this in mind, whereas IBM is still moving from conventional computing to cloud-based computing Iron.io works with the latest messaging services whereas IBM MQ may have integration issues IBM MQ is more expensive than…

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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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