Liquid: Unifying Nearline and Offline Big Data Integration
Summary: Liquid replaces DFS-centric batch stacks with a unified nearline+offline integration architecture: a stateful stream-processing layer for incremental, low-latency transforms plus a highly-available pub/sub messaging layer. Deployed at LinkedIn, it provides cost-efficient, scalable pre-processing for real-time and batch consumers. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Raul Castro Fernandez (Imperial College London)
- 2. Peter Pietzuch (Imperial College London)
- 3. Jay Kreps (Confluent)
- 4. Neha Narkhede (Confluent)
- 5. Jun Rao (Confluent)
- 6. Joel Koshy (LinkedIn)
- 7. Dong Lin (LinkedIn)
- 8. Chris Riccomini (LinkedIn)
- 9. Guozhang Wang (LinkedIn)
BibTeX Citation
@inproceedings{fernandez_cidr15,
address = {Amsterdam, Netherlands},
series = {{CIDR} '15},
title = {{Liquid: Unifying Nearline and Offline Big Data Integration}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Fernandez, Raul Castro and Pietzuch, Peter and Kreps, Jay and Narkhede, Neha and Rao, Jun and Koshy, Joel and Lin, Dong and Riccomini, Chris and Wang, Guozhang},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,895 | Samza: Stateful Scalable Stream Processing at LinkedIn | 2017 | VLDB | 9.5260291e-05 |
| 2,868 | SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics | 2017 | CIDR | 8.0156936e-05 |
| 4,389 | Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka | 2021 | SIGMOD | 6.7304854e-05 |
| 5,447 | FILM: a Fully Learned Index for Larger-than-Memory Databases | 2023 | VLDB | 6.2149491e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 1 | 1,895 | Samza: Stateful Scalable Stream Processing at LinkedIn | 2017 | VLDB |
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| 10 | 11,078 | LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics | 2025 | VLDB |