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Search billions of documents with the Google Search Appliance 6.0

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It's hard to conceptualize the number 1,000,000,000. One billion sheets of paper could circle the earth at the equator well over five times. Counting to one billion would take about 30 years of your life, even if you never stop to sleep. And if you had to find a single piece of information by sorting through a billion documents it would take you, on average, about 2000 years. Businesses and large organizations have tons of documents and other types of data — some even have a billion documents that need searching, and it's unlikely that employees have 2000 years to dedicate to the hunt.Figuring out how to navigate the complex content systems of large organizations is a tough problem, one we've dedicated years to solving. Today we're releasing the newest version of our solution, the Google Search Appliance 6.0 (GSA), which has the capacity to search billions of documents. So whether you own a small business with a few thousand docs or belong to a huge organization with a billion, the GSA can search them all. Even if the content you need lives in a bunch of different departments or locations, in all kinds of formats, languages and repositories, the GSA makes searching within your organization as simple as searching on It also has helpful features like user-added results and query suggestions, so over time your coworkers' input improves search results. The GSA 6.0 also is full of customization features, as well as flexible security policies so that each enterprise or large organizations can tweak the settings to suit its needs. We believe that setting your enterprise up with the GSA can save you tons of employee hours spent looking for data — letting you focus on the actual work to be done.

We demonstrated the infrastructure you'd actually need to search a billion docs — check it out in the video below. To learn more about the GSA 6.0 or our search solutions for businesses, check out the Google Enterprise Blog or our website.

Cyrus Mistry, Product Manager

published @ June 2, 2009

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