Please see the following: Facebook messages: https://www.facebook.com/notes/facebook-engineering/the-underlying-technology-of-messages/454991608919 https://www.facebook.com/UsingHbase https://www.facebook.com/download/499785426741400/Storage%20Infrastructure%20Behind%20Facebook%20Messages%20.pdf
Cassini @ EBay: http://www.slideshare.net/Hadoop_Summit/ma-june27-140pmroom212v2 http://www.cloudera.com/content/cloudera/en/resources/library/hbasecon/video-hbasecon-2012-hbase-the-use-case-in-ebay-cassini.html Yahoo: https://developer.yahoo.com/blogs/ydn/apache-hbase-yahoo-multi-tenancy-helm-again-203911418.html there're many more ... On Fri, Dec 5, 2014 at 1:37 PM, jeremy p <[email protected]> wrote: > Hey all, > > So, I'm currently evaluating HBase as a solution for querying a very large > data set (think 60+ TB). We'd like to use it to directly power a > customer-facing product. My question is threefold : > > 1) What companies use HBase to serve a customer-facing product? I'm not > interested in evaluations, experiments, or POC. I'm also not interested in > offline BI or analytics. I'm specifically interested in cases where HBase > serves as the data store for a customer-facing product. > > 2) Of the companies that use HBase to serve a customer-facing product, > which ones use it to query data sets of 60TB or more? > > 3) Of companies use HBase to query 60+ TB data sets and serve a > customer-facing product, how many employees are required to support their > HBase installation? In other words, if I were to start a team tomorrow, > and their purpose was to maintain a 60+ TB HBase installation for a > customer-facing product, how many people should I hire? > > 4) Of companies use HBase to query 60+ TB data sets and serve a > customer-facing product, what kind of measures do they take for disaster > recovery? > > If you can, please point me to articles, videos, and other materials. > Obviously, the larger the company, the better case it will make for HBase. > > Thank you! >
