The Spark Snap enables customers to create Spark-based data pipelines without coding. These high-performance pipelines are ideally suited for memory-intensive, iterative processes. With this addition, customers can choose to use either MapReduce or Spark for data processing, depending upon factors such as data size, latency requirements and connectivity.
The Sparkplex is a data processing platform that features a collection of processing nodes or containers that can take data pipelines, convert them to the Spark framework, and then execute them on a cluster. The combination of the Spark Snap and Sparkplex gives customers the speed benefits of Spark data analytics without the time and effort involved in creating and maintaining hand-coded integration between data sources and a Spark cluster.