Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Apache Kafka was originally developed to complement stream processing engines such as Samza and Spark, but it may soon end up displacing them in many organizations if Confluent Inc. has its way. The ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Among stream processing engines, Spark Streaming is gaining popularity, while Apache Storm has been in production deployments for many years and is a robust, proven, widely used option. StreamAnalytix ...

Impetus Technologies, has announced StreamAnalytix 3.0, which adds support for Apache Spark-based batch processing and enriched online and offline machine learning features. The new capabilities are ...

Apache Spark is an execution engine that broadens the type of computing workloads Hadoop can handle, while also tuning the performance of the big data framework. Hadoop specialist Cloudera recently ...

Hadoop needs fast and easy-to-use stream processing, and Flink provides that -- but it'll compete with Spark and Storm Apache Flink, a potential contender for Apache Spark’s big-data processing jobs, ...

I'm a sucker for a tool that adds a layer of abstraction and corrals complexity into something manageable and more straightforward. As such, Impetus' StreamAnalytix product has been on my radar for ...

Real-time business intelligence is going mainstream, thanks in part to the Storm and Spark open source projects. Here's how to choose between them The idea of real-time business intelligence has been ...

To give you a better idea about how data streaming technology is transforming manufacturing and heavy industry today, I'll provide a few examples below. Using data streaming technology, you can stream ...