Bigtable (English Wikipedia)

Hitchcock, Andrew, Google's Bigtable, retrieved 29 July 2007, First an overview. Bigtable has been in development since early 2004 and has been in active use for about eight months (about February 2005)..
Hitchcock, Andrew, Google's Bigtable, retrieved 29 July 2007, There are currently around 100 cells for services such as Print, Search History, Maps, and Orkut.

blogoscoped.com

"Google's Bigtable", Outer court (Weblog), 23 October 2005.

cloud.google.com

"Cloud Bigtable now even easier to manage with autoscaling".

code.google.com

"How Entities and Indexes are Stored", Google App Engine, Google Code, archived from the original on 7 January 2012, retrieved 17 April 2014.

doi.org

Bentley, Jon; McIlroy, Douglas (1999). Data compression using long common strings. DCC '99: Proceedings of the Conference on Data Compression. IEEE Computer Society. CiteSeerX 10.1.1.11.8470. doi:10.1109/DCC.1999.755678.

feedblog.org

"Google Bigtable, Compression, Zippy and BMDiff". 12 October 2008. Archived from the original on 1 May 2013. Retrieved 14 April 2015..

google.github.io

Snappy (project).

googlecloudplatform.blogspot.com

"Announcing Google Cloud Bigtable: The same database that powers Google Search, Gmail and Analytics is now available on Google Cloud Platform". Google Blog. 6 May 2015. Retrieved 21 September 2016.

googleusercontent.com

static.googleusercontent.com

Chang et al. 2006. Chang, Fay; Dean, Jeffrey; Ghemawat, Sanjay; Hsieh, Wilson C.; Wallach, Deborah A.; Burrows, Mike; Chandra, Tushar; Fikes, Andrew; Gruber, Robert E. (2006). Bigtable: A Distributed Storage System for Structured Data (PDF). 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI'06). Seattle, WA.
Chang et al. 2006, p. 3: 'Bigtable can be used with MapReduce, a framework 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' Chang, Fay; Dean, Jeffrey; Ghemawat, Sanjay; Hsieh, Wilson C.; Wallach, Deborah A.; Burrows, Mike; Chandra, Tushar; Fikes, Andrew; Gruber, Robert E. (2006). Bigtable: A Distributed Storage System for Structured Data (PDF). 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI'06). Seattle, WA.
Chang et al. 2006, Conclusion: '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.' Chang, Fay; Dean, Jeffrey; Ghemawat, Sanjay; Hsieh, Wilson C.; Wallach, Deborah A.; Burrows, Mike; Chandra, Tushar; Fikes, Andrew; Gruber, Robert E. (2006). Bigtable: A Distributed Storage System for Structured Data (PDF). 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI'06). Seattle, WA.

kylecordes.com

Cordes, Kyle (12 July 2007), YouTube Scalability (talk), 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..

oreilly.com

radar.oreilly.com

"Google File System and Bigtable", Radar (World Wide Web log), Database War Stories, O'Reilly, May 2006.

psu.edu

citeseerx.ist.psu.edu

Bentley, Jon; McIlroy, Douglas (1999). Data compression using long common strings. DCC '99: Proceedings of the Conference on Data Compression. IEEE Computer Society. CiteSeerX 10.1.1.11.8470. doi:10.1109/DCC.1999.755678.

research.google.com

Shute, Jeffrey 'Jeff'; Oancea, Mircea; Ellner, Stephan; Handy, Benjamin 'Ben'; Rollins, Eric; Samwel, Bart; Vingralek, Radek; Whipkey, Chad; Chen, Xin; Jegerlehner, Beat; Littlefield, Kyle; Tong, Phoenix (2012), "Summary; F1 — the Fault-Tolerant Distributed RDBMS Supporting Google's Ad Business", Research (presentation), Sigmod, p. 19, We've moved a large and critical application suite from MySQL to F1{{citation}}: CS1 maint: location missing publisher (link).

techtarget.com

Kerner, Sean Michael (27 January 2022). "Google scales up Cloud Bigtable NoSQL database". TechTarget. Retrieved 10 October 2022.

web.archive.org

"How Entities and Indexes are Stored", Google App Engine, Google Code, archived from the original on 7 January 2012, retrieved 17 April 2014.
"Google Bigtable, Compression, Zippy and BMDiff". 12 October 2008. Archived from the original on 1 May 2013. Retrieved 14 April 2015..