There’s something about working for a startup that gets my motor running. There’s more at stake (more thrills) and more freedom to do things that don’t fly in large, organizations. So here I am, back at a startup, Quaddra Software, after a year and half with Microsoft. Microsoft was a good place to be an employee, but I’m a “journey-guy” and am more interested in overcoming new obstacles than repeating old ones.
Quaddra is developing highly-scalable, high-performance file analytics software that leverages open source software with a pluggable architecture for adding new functionalality. I really like the potential of this technology because its value comes from creating intelligence from opaque data and creative customers always find interesting new ways to use intelligence.
Beyond the concerted efforts of talented people working together, two of the most important elements to a startup’s success are luck and timing. Startups always need as much luck as possible and should do all it can to create its own. Timing is one of those cruel things that a startup can’t do much about. If it’s too early, the company has to create a market by itself without an ecosystem to support it and the odds are very good that the company will run out of money and go out of business. On the other hand, if the startup is too late, other companies’ products get the best opportunities and the startup suffers from slow growth and lower margins – a slower path to going out of business or becoming one of those zombie companies that is not really alive, but not yet dead either.
The best scenario for a startup is to have technology siblings that compete and grow together, increasing awareness of the solution set and expanding the market much faster than they can on their own. It’s that old strange math where 1+1=3. This go round, it appears Quaddra will be sharing a room with a company populated by friends from my EqualLogic days – Data Gravity. From reading their blog and with their public announcement today in the Wall Street Journal, it appears we are on very similar vectors. I have a lot of admiration for Paula Long, John Joseph and the rest and I hope they are wildly successful and that Quaddra competes with them in the file analytics business for a long time.
Applications for Quaddra Software’s
IT teams that know a lot more about their company’s unstructured data can control it, manage it and generate reports about it.
Control – Quaddra’s software scans and searches unstructured data in-place where it resides and builds independent indices where system administrators search, identify and tag files for various actions. For instance, certain media file types that are not be part of the normal corporate work streams could be identified as non-work files and removed from corporate storage. Likewise files with sensitive data could be found in locations where they might pose a risk for loss or leakage.
Manage– Quaddra’s software can copy, migrate and archive data from it’s current location to to virtually any secondary store, including cloud object storage. Files can be identified using many different criteria and acted on according to management policies that safely store historical files and make free space available on primary storage.
Report – The results of searches can be used to generate reports to analyze and share with managers and co-workers to make informed decisions. For instance files can be analyzed by their access data and correlated with the amount of capacity they consume to determine candidates for migrating to archival storage.
If you want to talk to us about developing intelligence for your opaque, unstructured data, please send an email to: email@example.com