10. Library of Congress

130 million items (books, photographs, maps, etc)
29 million books
10,000 new items added each day
530 miles of shelves
5 million digital documents
20 terabytes of text data

9. Central Intelligence Agency


100 Freedom of Information Act (FOIA) items added each month Comprehensive statistics on more than 250 countries and entities Unknown number of classified information

8. Amazon


59 million active customers
More than 42 terabytes of data


7. YouTube

100 million videos watched per day 65,000 videos added each day
60% of all videos watched online
At least 45 terabytes of videos

6. ChoicePoint

250 terabytes of personal data Information on 250 million people

5. Sprint

2.85 trillion database rows.
365 million call detail records processed per day At peak,
70,000 call detail record insertions per second

4. Google

91 million searches per day
accounts for 50% of all internet searches
Virtual profiles of countless number of users

3. AT&T

323 terabytes of information
1.9 trillion phone call records

2. National Energy Research Scientific Computing Center

2.8 petabytes of data
Operated by 2,000 computational scientists

1. World Data Centre for Climate


220 terabytes of web data
6 petabytes of additional data


http://www.businessintelligencelowdown.com/2007/02/top_10_largest_.html

6. ChoicePoint
Imagine having to search through a phone book containing a billion pages for a phone number. When the employees at ChoicePoint want to know something about you, they have to do just that. If printed out, the ChoicePoint database would extend to the moon and back 77 times.

ChoicePoint is in the business of acquiring information about the American population -- addresses and phone numbers, driving records, criminal histories, etc., ChoicePoint has it all. For the most part, the data found in ChoicePoint's database is sold to the highest bidders, including the American government.

But how much does ChoicePoint really know? In 2002 ChoicePoint was able to help authorities solve a serial rapist case in Philadelphia and Fort Collins after producing a list of 6 potential suspects by data mining their DNA and personal records databases. In 2001 ChoicePoint was able to identify the remains of World Trade Center victims by matching DNA found in bone fragments to the information provided by victim's family members in conjunction to data found in their databases.

SergSuperесли б еще было написано на какой СУБД что работает....

10. Library of Congress

DB2

7. YouTube

Oracle

5. Sprint

Oracle


4. Google

MySQL

3. AT&T

Oracle

Юрий Кудрявцев Lepsik SergSuperесли б еще было написано на какой СУБД что работает....
4. Google
MySQL

Google's BigTable

Когда-то было . Сейчас видать уже по другому стало.

насчет ютуба - предположение. С видео только оракл обычно пользуют. Можно и мелкософт конечно.

Юрий Кудрявцев
Попробуем еще раз ;) Вы же на дату поста смотрите?

мне больше делать нечего по сайтам лазить искать кто на чем ?