Database Paper Browser

Back to papers

RedTAO: A Trillion-edge High-throughput Graph Store

Summary: RedTAO: scalable high-throughput graph store for trillions of edges, with a graph cache layer that serves >90% of one-hop social queries directly from cache. Cross-cloud multi-active deployment with local-storage access and a data-transmission service maintains cache consistency, delivering 1.8x throughput and 21.3% fewer resources than MySQL at Xiaohongshu. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7112
Venue
SIGMOD
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,413 | 27.56%
DOI
10.1145/3722212.3724449

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

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

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers