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American City Business Journals
(news from 41 Business publications around the country)






Netezza gets tera-size $20M round for its appliance

07/28/2003 08:51 AM
By Jeff Miller

Whatever the future brings for Framingham-based Netezza Corp., no one can say that the company aimed too low.

“It’s clear to us and to investors that we’re building a company on the East Coast that could have a substantial size and value over the next few years,” said Jit Saxena, Netezza’s chief executive and co-founder.

It had better.

The venture investors who ponied up a few weeks ago for Netezza’s $20 million C round expect big things from the terascale data appliance maker.

The last time Netezza raised money, four venture capital firms angled to get into its $30 million B round, which closed in January 2002. This time around there were more than four firms competing to invest, and it took less than two months to close, Saxena said.

California-based Sequoia Capital won the competition. It invested alongside prior investors Matrix Partners, Charles River Ventures, Battery Ventures and Orange Ventures.

The company saw a modest increase in its valuation this round prior to the new money coming in, said Ollie Curme, a general partner at Battery, which is unusual for C rounds these days.

But with $53 million in total money raised, Curme said, the company’s valuation is very high, though neither investors nor executives would release an exact figure.

“They’ve sold to five customers, so it’s still early going on the sale side,” Curme said. “And yet it’s priced at a level that’s not too far from a lot of IPOs these days.”

VCs generally look for deals that will return at least 10 times their money. Assuming that 20 percent of the company is reserved for founders and employees, which is a conservative figure for a company whose valuation has increased with every round, Netezza would have to exit at more than $660 million to generate that sort of return.

If the founders and employees own more than 20 percent of the company, the exit value would have to be even higher.

So then, what’s so special about Netezza?

“Netezza could define a whole new category and become a huge company,” Curme said. “There aren’t many opportunities like that. Most startups are product refinements.”

Netezza has developed an integrated, standards-compliant appliance that uses sophisticated software, commodity components, commodity processors, Linux and an open source database to process massive amounts of data each second.

“You get incredible performance for the price compared to competitors,” said Dan Vesset, a data warehousing and information access analyst at International Data Corp. “I was talking to one of their clients who said that it took them 23 hours to do queries before, and that’s not acceptable. With Netezza, it was substantially faster.”

For example, at least two of Netezza’s customers are in the wireless and wireline telecommunications industry, and they use the company’s gear to process revenue and billing data.

“These companies have the problem of billions of calls, compiling them, and getting a good handle on their revenue assurance issues,” Saxena said. “It’s a big data problem because not only is it a large amount of data, but it’s changing rapidly.”

Netezza also has customers in the financial services arena. The company’s products list from about $600,000 to more than $2.5 million for its highest-end systems.

But Netezza still faces substantial market challenges, with IT spending down and large companies reluctant to buy such an expensive, important product from a startup. Plus, Netezza is competing against heavyweights such as Oracle, IBM, Sybase and, most important, Ohio-based Teradata, a division of NCR Corp.

“The only equivalent solution out there today is from Teradata,” said Vesset at IDC.

Nevertheless, Vesset said, no one can currently match Netezza’s price performance. And though Vesset estimates the market for high-end products such as Netezza’s is only about $350 million, it’s definitely growing.

“Their biggest challenge,” Vesset said, “is finding customers who have tried to solve this big data management problem on their own and have failed. Because if you’re talking to people who haven’t tried to do it yet, they won’t understand the benefits.”



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