When data grows into the tens or even hundreds of terabytes, you need a special technology to quickly make sense of it all. From Hadoop to Teradata, check out the top platform options.
10 of 13
ParAccel Combines Column-Store, MPP And In-Database Analytics ParAccel is the developer of the ParAccel Analytic Database (PADB), a database that combines the fast, selective-querying and compression advantages of a column-store database with the scale-out capabilities of massively parallel processing. The vendor says its platform supports a range of analyses, from reporting to complex advanced-analytics workloads. Built-in analytics enable analysts to perform advanced mathematical, statistical, and data-mining functions, and an open API extends in-database processing capabilities to third-party analytic applications. Table functions are used to feed and receive results to and from third-party and custom algorithms written in languages such as C and C++. ParAccel has partnered with Fuzzy Logix, a vendor that offers an extensive library of descriptive statistics, Monte Carlo simulations and pattern-recognition functions. The table functions approach also supports MapReduce techniques and more than 700 analyses commonly used by financial services.
Join us for a roundup of the top stories on InformationWeek.com for the week of December 14, 2014. Be here for the show and for the incredible Friday Afternoon Conversation that runs beside the program.