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Petabyte Scale Databases and Storage Systems at Facebook

Summary: Facebook's petabyte-scale data stack: sharded MySQL+Memcache for real-time access, TAO for geo consistency, Haystack for billions of photos, Hadoop/HBase for analytics. Examines workload-driven choices, ACID needs, and graph-relational mapping for geo deployments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4647
Venue
SIGMOD
Year
2013
Pagerank
5.8677445e-05
Overall Rank
6,668 | 53.66%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,517 BF-Tree: Approximate Tree Indexing 2014 VLDB 0.00010572807
2,443 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.6373807e-05
7,929 Sieve: A Learned Data-Skipping Index for Data Analytics 2023 VLDB 5.5817682e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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