Interesting Titbit’s:<\/p>\n
Storm<\/a>\u00a0and\u00a0Kafka<\/a>\u00a0are the future of stream processing, and they are already in use at a number of high-profile companies including Groupon, Alibaba, and The Weather Channel.<\/p>\n<\/li>\n Drill\u00a0<\/a>and\u00a0Dremel<\/a>\u00a0make large-scale, ad-hoc querying of data possible, with radically lower latencies that are especially apt for data exploration. They make it possible to scan over petabytes of data in seconds, to answer ad hoc queries and presumably, power compelling visualizations.<\/p>\n<\/li>\n R is an open source statistical programming language. It is incredibly powerful. Over two million (and counting) analysts use R. It\u2019s been around since 1997 if you can believe it. It is a modern version of the S language for statistical computing that originally came out of the Bell Labs. Today, R is quickly becoming the\u00a0new standard<\/a>\u00a0for statistics.<\/p>\n<\/li>\n Gremlin<\/a>\u00a0and\u00a0Giraph<\/a>\u00a0help empower graph analysis, and are often used coupled with graph databases like\u00a0Neo4j<\/a>\u00a0or\u00a0InfiniteGraph<\/a>, or in the case of Giraph, working with Hadoop.\u00a0Golden Orb<\/a>\u00a0is another high-profile example of a graph-based project picking up steam.<\/p>\n<\/li>\n SAP Hana<\/a>\u00a0is an in-memory analytics platform that includes an in-memory database and a suite of tools and software for creating analytical processes and moving data in and out, in the right formats.<\/p>\n<\/li>\n D3<\/a>\u00a0doesn\u2019t make the list quite yet, but it\u2019s close, and worth mentioning for that reason.<\/p>\n<\/li>\n<\/ul>\n<\/li>\nDrill and Dremel<\/h3>\n
R<\/h3>\n
Gremlin and Giraph<\/h3>\n
SAP Hana<\/h3>\n
Honorable mention: D3<\/h3>\n