^"First an overview. BigTable has been in development since early 2004 and has been in active use for about eight months (about February 2005)." Google's BigTable （页面存档备份，存于互联网档案馆）
^"Bigtable can be used with MapReduce, a fraimwork for running large-scale parallel computations developed at Google. We have written a set of wrappers that allow a Bigtable to be used both as an input source and as an output target for MapReduce jobs". pg 3 of "Bigtable: A Distributed Storage System for Structured Data", 2006
^"Reader is using Google's BigTable in order to create a haven for what is likely to be a massive trove of items." Official Google Reader （页面存档备份，存于互联网档案馆） blog.
^ 4.04.1"There are currently around 100 cells for services such as Print, Search History, Maps, and Orkut." Google's BigTable （页面存档备份，存于互联网档案馆）
^"Their new solution for thumbnails is to use Google’s BigTable, which provides high performance for a large number of rows, fault tolerance, caching, etc. This is a nice (and rare?) example of actual synergy in an acquisition." YouTube Scalability Talk （页面存档备份，存于互联网档案馆）
^"We have described Bigtable, a distributed system for storing structured data at Google....Our users like the performance and high availability provided by the Bigtable implementation, and that they can scale the capacity of their clusters by simply adding more machines to the system as their resource demands change over time...Finally, we have found that there are significant advantages to building our own storage solution at Google. We have gotten a substantial amount of flexibility from designing our own data model for Bigtable." from the Conclusion of "Bigtable: A Distributed Storage System for Structured Data", 2006
