DataGravity Pulls In $30M More to Go Big in Business Analytics

broad view of a company’s data—across e-mails, documents, presentation decks, spreadsheets, and so on—and delivers suggestions about what to do.

One simple example: People often wonder who in their company has contacts at another company or in another department. DataGravity’s software could look at corporate data and help employees build social maps and avenues for collaboration. To that end, the company is hiring people with expertise in data visualization and analytics, as well as traditional storage.

“Your data knows a lot about what’s going on in your business,” Long says.

The customer sweet spot, at least in the beginning, will be mid-sized companies with 200 to 2,000 employees, across many industries. And the big sales goal is to make the software usable by business people, not just techies. Joseph says he’s looking for marketing execs to “call our product out by name.” He adds, “That would be a significant paradigm shift.”

It’s almost too early even to talk about challenges—but rest assured there will be plenty. The result of gravity run amok is, after all, a black hole.

“Any time you change a paradigm, you have to make sure that you set expectations correctly and that you grow out the team,” Long says. Both she and Joseph harp on the importance of listening to customers before the startup goes to market. “That has to be ingrained in the culture,” Long says. “Otherwise you build products that you want but nobody else wants.”

That brings us to another meaning of “gravity”—having to do with seriousness and significance. The company seems to be gearing up to play there as well.

DataGravity probably wouldn’t say this, but if it’s successful it could eventually disrupt big players in data storage, analytics, and business intelligence such as EMC (Greenplum, Isilon, and Atmos businesses), Hewlett-Packard (Autonomy, 3PAR, and Vertica), and IBM (Netezza, Cognos, Unica).

Of course, the competitive field is also strewn with more targeted, newer approaches including Hadapt and Quant5 in analytics; HubSpot, Constant Contact, and Salesforce.com in marketing; Backupify, Carbonite, and Dropbox in cloud storage; and Mimecast and Senexx in e-mail.

In any case, DataGravity’s mentors should be able to help it through its growing pains. “Selling a product is great, but building a whole ecosystem and economy around you is the way to build an industry,” says David Orfao of General Catalyst, one of the startup’s lead investors. (He knows Long from their days at Allaire in the late ‘90s; he didn’t invest in EqualLogic but got in on DataGravity from the start.)

I was interested to hear Orfao’s perspective on DataGravity’s big Series B—beyond the value added by Andreessen Horowitz (and partner Peter Levine, who’s joining the startup’s board). For example, is he seeing a Series A or B “crunch” that a lot of entrepreneurs have been talking about?

“I think the crunch is at the seed level,” Orfao says. “Competition is still difficult on doing a great Series A. But smart investors are looking at how do you pre-empt a B? And not have to go through a beauty contest with five or six other VCs to get in.”

If DataGravity ends up cracking the code on big-data business analytics, it will be a beautiful thing indeed.

Author: Gregory T. Huang

Greg is a veteran journalist who has covered a wide range of science, technology, and business. As former editor in chief, he overaw daily news, features, and events across Xconomy's national network. Before joining Xconomy, he was a features editor at New Scientist magazine, where he edited and wrote articles on physics, technology, and neuroscience. Previously he was senior writer at Technology Review, where he reported on emerging technologies, R&D, and advances in computing, robotics, and applied physics. His writing has also appeared in Wired, Nature, and The Atlantic Monthly’s website. He was named a New York Times professional fellow in 2003. Greg is the co-author of Guanxi (Simon & Schuster, 2006), about Microsoft in China and the global competition for talent and technology. Before becoming a journalist, he did research at MIT’s Artificial Intelligence Lab. He has published 20 papers in scientific journals and conferences and spoken on innovation at Adobe, Amazon, eBay, Google, HP, Microsoft, Yahoo, and other organizations. He has a Master’s and Ph.D. in electrical engineering and computer science from MIT, and a B.S. in electrical engineering from the University of Illinois, Urbana-Champaign.