INDUSTRY

Sun Microsystems announced that six of the world's top 10 data warehouses on the UNIX platform by both normalized data volume and number of rows/records run on Sun platforms, according to the Winter Corporation 2005 TopTen Program. The largest in data volume manages 93.5 terabytes of data and the largest in number of rows/records manages 533.7 million. These results underscore the power of Sun's business intelligence data warehousing (BIDW) offerings, and highlight the reliability and availability of Sun's Sun Fire servers powered by UltraSPARC processors and the Solaris Operating System (OS). It also demonstrates the scalability of the Solaris OS running on UltraSPARC processor-based servers and the platform's ability to meet increasing processing demands without compromising response time. "The TopTen program identifies the database owners and managers who are continually expanding the frontiers of database scalability," said Richard Winter, president of Winter Corporation. "Sun and its customers are active participants in this effort and we want to extend our gratitude to them for helping make the 2005 program a success." Other Sun highlights from the 2005 Winter TopTen Program: -- Sun increased its total awards to 72 from 28 in 2003, a greater than 2x increase in winners overall. -- Sun had a 67 percent increase in its number of data warehouse winners for Normalized Data Volume for all environments. -- Sun customers run the top six, including #1, online transaction processing (OLTP) sites for highest workload on UNIX, the largest processing 8.6 million SQL statements per hour. -- The world's largest scientific system, by normalized data volume, with 364 terabytes of data, runs on Sun. -- The world's largest commercial database, which tops 100 terabytes, runs the Solaris OS. The Winter TopTen Program identifies the leading customer database and data warehousing implementations with a minimum of 1TB of data via a rigorous process requiring respondents to complete an extensive questionnaire. Entrants then further validate their submissions by running queries developed by their database vendor and Winter Corp. or submitting system-generated documentation to supports their results.