Streamdata.io
Apache Spark
Google Cloud Dataflow
Leo Platform
OpenZoo
Apache Storm
Apache Beam
Apache Flink
Gearman
Amazon SQS
Apache Kafka
RabbitMQ
Beanstalkd
Iron.io
Apache ActiveMQ
Resque
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Based on our record, Gearman seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I am a fan of Gearman to schedule and dispatch distributed jobs, Redis as a collaborative blackboard, and GlusterFS to share models across multiple systems and make bulk data available across the entire system (usually referenced in the blackboard as a pathname). Source: 12 months ago
At work we typically use Gearman (http://gearman.org/) or Symfony messenger (https://symfony.com/doc/current/messenger.html) to queue up a batch of jobs. And then we use supervisord (http://supervisord.org/) to keep a pool of PHP processes running to process the jobs. Source: about 2 years ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Leo Platform - Leo enables teams to innovate faster by providing visibility and control for data streams.
RabbitMQ - RabbitMQ is an open source message broker software.
