Sparkling Water allows users to combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark. With Sparkling Water, users can drive computation from Scala/R/Python and utilize the H2O Flow UI, providing an ideal machine learning platform for application developers. It intelligently combines the following features:

• Best of Breed Open Source Technology –Enjoy the freedom that comes with big data science powered by open source technology.
• Easy-to-use WebUI and Familiar Interfaces –Set up and get started quickly using either H2O’s intuitive web-based Flow GUI or familiar programming environments like R, Python, Java, Scala, JSON, and through our powerful APIs.
• Data Agnostic Support for all Common Database and File Types –Easily explore and model big data from within Microsoft Excel, R Studio, Tableau and more. Connect to data from HDFS, S3, SQL and NoSQL data sources.
• Spark + H2O –Seamlessly transition between Spark and H2O. Data mining in Spark plus Machine Learning in H2O.
• Real-time Data Scoring –Rapidly deploy models to production via plain-old Java objects (POJO), model-optimized Java objects (MOJO) or REST API