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LOS GATOS, Calif., March 14, 2017 /PRNewswire/ -- Impetus Technologies, a big data thought leader and software solutions company, today announced StreamAnalytix(TM) 3.0 featuring support for Apache Spark-based batch processing and enriched online and offline machine learning features, helping enterprises maximize the performance of their analytical models and achieve the most favorable business outcomes. The newest version adds to the stream processing capabilities driven by Apache Spark Streaming and Apache Storm so that data and analytics professionals can now orchestrate and visualize streaming and batch workflows in one unified, powerful platform that enables real-time data ingestion, processing and advanced analytics.
"Spark Streaming has rapidly gained popularity as one of the most widely used platforms to process streaming data; however, most enterprise big data use cases today need both Spark Streaming and Spark batch," said Anand Venugopal, head of StreamAnalytix at Impetus Technologies. "Based on strong market demand, StreamAnalytix 3.0 is now able to process Spark Streaming, Spark batch and even interconnected workflows. The new debug features for development time and run time in this release are also very sought after by our Spark customers. Overall, these new abilities give enterprises convenient access to...