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On Brewing Fresh Espresso: LinkedIn’s Distributed Data Serving Platform

Summary: Espresso: LinkedIn's scalable, document-oriented store with cross-document transactions, real-time indexing, on-the-fly schema evolution, and timeline-consistent change capture. Innovations include a generic distributed cluster manager, partition-aware change capture, and a high-performance inverted index, with empirical results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4768
Venue
SIGMOD
Year
2013
Pagerank
9.3349118e-05
Overall Rank
1,999 | 86.29%
DOI
10.1145/2463676.2465298

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{qiao_sigmod13,
        title = {{On Brewing Fresh Espresso: LinkedIn’s Distributed Data Serving Platform}},
        author = {Qiao, Lin and Surlaker, Kapil and Das, Shirshanka and Quiggle, Tom and Schulman, Bob and Ghosh, Bhaskar and Curtis, Antony and Seeliger, Oliver and Zhang, Zhen and Auradkar, Aditya and Beavers, Chris and Brandt, Gregory and Gandhi, Mihir and Gopalakrishna, Kishore and Ip, Wai and Jagadish, Swaroop and Lu, Shi and Pachev, Alexander and Ramesh, Aditya and Sebastian, Abraham and Shanbhag, Rupa and Subramaniam, Subbu and Sun, Yun and Topiwala, Sajid and Tran, Cuong and Westerman, Jemiah and Zhang, David},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465298},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465298},
        year = {2013}
}

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