Bigtable: A Distributed Storage System for Structured Data

By Fay Chang, J. Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, M. Burrows, Tushar Chandra, Andrew Fikes, Robert E. Gruber. TOCS, 2008

623 citations recorded by the source corpus.

How researchers see this paper

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Fast crash recovery in RAMCloud (2011, background): “For example, both Google and Yahoo! keep their entire Web search indexes in DRAM; Facebook offloads its database servers by caching tens of terabytes of data in DRAM with memcached [3]; and Bigtable allows entire column families to be loaded into memory [6].”
Sparse Indexing: Large Scale, Inline Deduplication Using Sampling and Locality (2009, methodology): “Bloom ﬁlters have been used by large scale distributed storage systems such as Google’s BigTable [9] and by Data Domain [28].”
Availability in Globally Distributed Storage Systems (2010, methodology): “For example, in Google we run Bigtable [9], on GFS [16], on local Linux ﬁle systems that ultimately write to local hard drives.”
Finding a Needle in Haystack: Facebook's Photo Storage (2010, background): “Bigtable [4] provides a storage system for structured data and offers database-like features for many of Google’s projects.”
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers (2011, neutral): “For more details, see [32, 170].”
The Case for Learned Index Structures (2017, methodology): “This approach is already widely used, for example in Bigtable [23] and many other systems, and was recently explored in [32] for learned indexes.”