Database Paper Browser

Back to papers

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
4646
Venue
SIGMOD
Year
2013
Pagerank
4.9085019e-05
Overall Rank
6,850 | 52.35%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,913 BF-Tree: Approximate Tree Indexing 2014 VLDB 0.00010113937
3,131 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 7.4985793e-05
8,222 Sieve: A Learned Data-Skipping Index for Data Analytics 2023 VLDB 4.5555621e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Semantically Similar Papers