Database Paper Browser

Back to papers

Ambry: LinkedIn's Scalable Geo-Distributed Object Store

Summary: Ambry is LinkedIn's geo-distributed object store for large immutable blobs, with a decentralized design and logical blob grouping. Asynchronous replication, rebalancing, zero-cost failure detection, and OS caching enable high throughput and low latency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5198
Venue
SIGMOD
Year
2016
Pagerank
5.5169516e-05
Overall Rank
8,280 | 42.46%
DOI
10.1145/2882903.2903738

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,784 Samza: Stateful Scalable Stream Processing at LinkedIn 2017 VLDB 9.8443759e-05
4,217 Causal Consistency and Latency Optimality: Friend or Foe? 2018 VLDB 6.8885386e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
46 PNUTS: Yahoo!'s Hosted Data Serving Platform 2008 VLDB 0.0004507937
Previous Page 1 / 1 Next

Semantically Similar Papers