Following the path of #Hadoop and #Spark, #Apache #Kafka is becoming a rising star in the Big Data ecosystem, playing a leading role in two brand-new open source offerings from #LinkedIn, where Kafka originated, and #Confluent, a company founded by former LinkedIn developers who helped create it.
According to its Web site, Kafka is "a high-throughput distributed messaging system" and is further described as "publish-subscribe messaging rethought as a distributed commit log."
While that doesn't tell you too much about how it's used in the real world, Confluent said its use cases range from collecting various kinds of data, such as user activity, logs, app metrics, stock ticker data and device instrumentation. "Its key strength is its ability to make high-volume data available as a real-time stream for consumption in systems with very different requirements -- from batch systems like Hadoop, to real-time systems that require low-latency access, to stream processing engines that transform the data streams as they arrive," Confluent said.
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