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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this podcast, Michael Stiefel spoke with ...

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 ...

Impetus Technologies, a big data thought leader and software solutions company, announced StreamAnalytix™ 3.0 featuring support for Apache Spark-based batch processing and enriched online and offline ...

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 has been getting a great deal of buzz lately as being the answer to analyzing Big Data, but the scoop at #BigDataSV is that Apache Flink may be a better alternative. The team at data ...

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 ...

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 ...