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: 5197
Venue: SIGMOD
Year: 2016
Pagerank: 4.5723648e-05
Overall Rank: 8,162 | 43.22%
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
2,338	Samza: Stateful Scalable Stream Processing at LinkedIn	2017	VLDB	9.00711e-05
4,601	Causal Consistency and Latency Optimality: Friend or Foe?	2018	VLDB	6.0572606e-05

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
53	PNUTS: Yahoo!'s Hosted Data Serving Platform	2008	VLDB	0.00066144767

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