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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
5259
Venue
SIGMOD
Year
2016
Pagerank
5.4331587e-05
Overall Rank
8,401 | 42.37%
DOI
10.1145/2882903.2903738

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{noghabi_sigmod16,
        title = {{Ambry: LinkedIn's Scalable Geo-Distributed Object Store}},
        author = {Noghabi, Shadi A. and Subramanian, Sriram and Narayanan, Priyesh and Narayanan, Sivabalan and Holla, Gopalakrishna and Zadeh, Mammad and Li, Tianwei and Gupta, Indranil and Campbell, Roy H.},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2903738},
        url = {https://dl.acm.org/doi/10.1145/2882903.2903738},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,895 Samza: Stateful Scalable Stream Processing at LinkedIn 2017 VLDB 9.5260291e-05
4,274 Causal Consistency and Latency Optimality: Friend or Foe? 2018 VLDB 6.7904541e-05
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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
47 PNUTS: Yahoo!'s Hosted Data Serving Platform 2008 VLDB 0.00044503718
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