TeraData introduced its aster big analytics appliance
Teradata, a leading analytic data solutions company has unveiled the Teradata Aster Big Analytics Appliance, which is a new computer system and software targeting the Big Data analytic field, products that stem from its $263 million acquisition of Aster Data Systems last year
Teradata Aster Big Analytics Appliance is the first integrated big analytics appliance in the industry. It is designed for demanding analytics, which entails high computational power, memory, and data movement. This appliance offers up to 19 times better data throughput and performs analytics up to 35 times faster than a typical off-the-shelf commodity bundle. The Teradata Aster Big Analytics Appliance has ample memory and high bandwidth interconnects to support extreme analytic execution, and it is packaged to require less space in the data center than off-the-shelf offerings.
The Teradata Aster Big Analytics Appliance brings together open source Apache Hadoop and Teradata Aster into a single highly- integrated and optimized appliance. With the Teradata Aster patented SQL-MapReduce and Aster SQL-H, the Teradata Aster Big Analytics Appliance provides users with transparent access to Hadoop and provides unique business analytics to a broad set of knowledge workers. The appliance offers pre-packaged ready-to-run analytical functions such as digital marketing optimization, social network analysis, fraud detection, and analysis of machine-generated data in just hours.
Scott Gnau, President of Teradata Labs said, Teradata Aster Big Analytics Appliance provides quicker path from varied big data acquisition to big insights, and perfectly brings these insights to the business owners,”. “Unmatched by any other stack in the industry, it enables organizations to overcome the barriers to big data analytics and provides a high-definition view of the business to optimize operations.”
Mr. Colin White, President of Research Firm BI Research said, “It is an emerging trend, but I think what Teradata is doing is different. They are deploying appliances with a mix of technologies that can be tailored to meet specific requirements and workloads.”
A major research firm, IDC predicts, the sales revenue from these products and services especially the Big Data will reach up to USD $17 billion in 2015 which was just $3 billion in 2010.