Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile
Summary: Hazelcast Jet is a scale-out stream processor engineered for millisecond latency at the 99.99th percentile and millions of events per CPU core. It uniquely combines IMDG integration with out-of-order handling and exactly-once guarantees, detailing performance-oriented design choices and lessons. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Can Gencer (Hazelcast Inc.)
- 2. Marko Topolnik (Hazelcast Inc.)
- 3. Viliam Ďurina (Hazelcast Inc.)
- 4. Emin Demirci (Hazelcast Inc.)
- 5. Ensar B. Kahveci (Hazelcast Inc.)
- 6. Ali Gürbüz (Hazelcast Inc.)
- 7. Ondřej Lukáš (Hazelcast Inc.)
- 8. József Bartók (Hazelcast Inc.)
- 9. Grzegorz Gierlach (Hazelcast Inc.)
- 10. František Hartman (Hazelcast Inc.)
- 11. Ufuk Yılmaz (Hazelcast Inc.)
- 12. Mehmet Doğan (Hazelcast Inc.)
- 13. Mohamed Mandouh (Hazelcast Inc.)
- 14. Marios Fragkoulis (Delft University of Technology; Hazelcast Inc.)
- 15. Asterios Katsifodimos (Delft University of Technology; Hazelcast Inc.)
BibTeX Citation
@article{gencer_vldb21,
title = {{Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile}},
author = {Gencer, Can and Topolnik, Marko and Ďurina, Viliam and Demirci, Emin and Kahveci, Ensar B. and Gürbüz, Ali and Lukáš, Ondřej and Bartók, József and Gierlach, Grzegorz and Hartman, František and Yılmaz, Ufuk and Doğan, Mehmet and Mandouh, Mohamed and Fragkoulis, Marios and Katsifodimos, Asterios},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {3110--3121},
doi = {10.14778/3476311.3476387},
url = {https://doi.org/10.14778/3476311.3476387},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,866 | Clonos: Consistent Causal Recovery for Highly-Available Streaming Dataflows | 2021 | SIGMOD | 6.3754084e-05 |
| 9,916 | GeaFlow: A Graph Extended and Accelerated Dataflow System | 2023 | SIGMOD | 5.1103839e-05 |
| 10,267 | Darwin: Scale-In Stream Processing | 2022 | CIDR | 5.0492285e-05 |
| 10,862 | Fugue: Online Elasticity for Distributed Stateful Stream Processing | 2026 | VLDB | 4.9793485e-05 |
| 11,199 | Styx: Transactional Stateful Functions on Streaming Dataflows | 2025 | SIGMOD | 4.9793485e-05 |
| 11,670 | Raising the Level of Abstraction for Time-State Analytics With the Timeline Framework | 2023 | CIDR | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,858 | SquirrelJoin: Network-Aware Distributed Join Processing with Lazy Partitioning | 2017 | VLDB |
| 2 | 5,434 | Low-Latency Handshake Join | 2014 | VLDB |
| 3 | 8,581 | Changing Engines in Midstream: A Java Stream Computational Model for Big Data Processing | 2014 | VLDB |
| 4 | 6,599 | AStream: Ad-hoc Shared Stream Processing | 2019 | SIGMOD |
| 5 | 11,525 | Low-Latency Adaptive Distributed Stream Join System Based on a Flexible Join Model | 2024 | SIGMOD |
| 6 | 9,471 | Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing | 2019 | SIGMOD |
| 7 | 6,958 | JetScope: Reliable and Interactive Analytics at Cloud Scale | 2015 | VLDB |
| 8 | 2,444 | Design, Implementation, and Evaluation of the Linear Road Benchmark on the Stream Processing Core | 2006 | SIGMOD |
| 9 | 9,816 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB |
| 10 | 3,922 | Analyzing Efficient Stream Processing on Modern Hardware | 2019 | VLDB |