12 Top Big Data Analytics Players
October 18, 2011 08:01 AM 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.
IBM Addresses Operational And Analytic Data Warehousing
IBM introduced the DB2-based Smart Analytic System (at left) last year, so why did it also acquire the separate Netezza appliance platform? The former is a platform for high-scale enterprise data warehouses capable of supporting many thousands of users and operational applications. Call centers, for example, often have multitudes of employees seeking fast recall of customer histories. The Smart Analytic System combines the DB2 database with information-integration and Cognos BI software modules preinstalled and tuned to work together and perform on the same IBM Power System (RISC or x86) platform.
Netezza is all about supporting high-scale analytic applications at digital marketing firms, telcos, and other firms mining tens or hundreds of terabytes or even petabytes of data. IBM Netezza TwinFin appliances support massively parallel processing and can be deployed in one day, according to IBM. Netezza supports deep "i-Class" in-database analytics in various languages and approaches, including Java, C, C++, Python, and MapReduce. i-Class also supports matrix-manipulation approaches, such as those used by SAS, IBM SPSS, and the R programming language. IBM Netezza recently added a high-capacity appliance for long-term archival storage needed to meet regulatory requirements.