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Netezza launches small business data warehousing appliance

Skimmer is the little brother of the TwinFin

Netezza has launched the follow up to its TwinFin data warehousing appliance, a smaller device that shares the surfing themed name of its big brother.

Called the Skimmer , the new device is aimed at small to medium size businesses or enterprise departments and can store up to 10TB of data, said vice president of marketing Phil Francisco.

Coming in the form of a 7U rack-mountable chassis rather than a full rack, the Skimmer will be less expensive than the TwinFin's $20,000-per-TB list price, Francisco said, though he declined to specify by how much.

The TwinFin was released last August as a faster, cheaper successor to Netezza's 10000-series appliances.

Both it and the Skimmer use Intel CPU blade servers and FPGA networking chips to accelerate data throughput. The main difference is that the TwinFin can store up to 1PB of data.

However, Netezza is planning an appliance with even greater capacity than the TwinFin, as well as another "memory intensive" appliance that is targeted at users wanting to perform realtime analytics.

One of them is likely to be released later this year, said Francisco. He declined to give more details. Judging by Netezza's recent trademark filings, the petabyte-plus model will be called the Cruiser, while the in-memory model will be called Pintail.

With more than 300 customers, Netezza has had success winning users, primarily from Teradata, Oracle and IBM. Rivals label Netezza's model as one of mimicking established vendors' offerings at a lower price, and say it will hurt the firm in the long run.

"Data warehousing appliances are a 25-year-old solution, they are a 1.0 response to customers craving simplicity," says Scott Yara, president of data warehousing software vendor Greenplum. "You can't get explosive growth from pure migrations. The real opportunity is helping companies do something new."

Francisco declined to respond to Yara's comments. But he promised that Netezza will soon be announcing improvements in the areas of MapReduce functionality and in-the-box advanced analytics.






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