NebulaStream: An Extensible, High-Performance Streaming Engine for Multi-Modal Edge Applications
Summary: Open-source, extensible streaming engine for distributed, heterogeneous IoT data across cloud–edge. Showcases high-performance execution on low-end devices and easy customization for multi-modal, multi-frequency streams, with a real smart-ICU health-use case. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christoph Falkensteiner (Charité - University Medicine Berlin)
- 2. Kyle Krüger (Charité - University Medicine Berlin)
- 3. Alexander Meyer (Charité - University Medicine Berlin)
- 4. Tobias Röschl (Charité - University Medicine Berlin)
- 5. Svea Wilkending (Charité - University Medicine Berlin)
- 6. Adrian Michalke (Berlin Institute for the Foundations of Learning and Data)
- 7. Aljoscha P Lepping (Berlin Institute for the Foundations of Learning and Data)
- 8. Volker Markl (Berlin Institute for the Foundations of Learning and Data)
- 9. Ricardo Martinez (Berlin Institute for the Foundations of Learning and Data)
- 10. Nils L Schubert (Berlin Institute for the Foundations of Learning and Data)
- 11. Lukas Schwerdtfeger (Berlin Institute for the Foundations of Learning and Data)
- 12. Taha Tekdogan (Berlin Institute for the Foundations of Learning and Data)
- 13. Steffen Zeuch (Berlin Institute for the Foundations of Learning and Data)
- 14. Ariane Ziehn (Berlin Institute for the Foundations of Learning and Data)
BibTeX Citation
@inproceedings{falkensteiner_sigmod25,
title = {{NebulaStream: An Extensible, High-Performance Streaming Engine for Multi-Modal Edge Applications}},
author = {Falkensteiner, Christoph and Krüger, Kyle and Meyer, Alexander and Röschl, Tobias and Wilkending, Svea and Michalke, Adrian and Lepping, Aljoscha P and Markl, Volker and Martinez, Ricardo and Schubert, Nils L and Schwerdtfeger, Lukas and Tekdogan, Taha and Zeuch, Steffen and Ziehn, Ariane},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725118},
url = {https://dl.acm.org/doi/10.1145/3722212.3725118},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,733 | APEROL: Adaptive Parallel Edge-to-cloud Runtime Optimization for Layered Workflow Execution | 2026 | VLDB | 4.9793485e-05 |
| 10,986 | Demonstrating Samsara: A Super-Optimizer for Multimodal Stream Processing | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,922 | Analyzing Efficient Stream Processing on Modern Hardware | 2019 | VLDB | 6.9229432e-05 |
| 5,343 | The NebulaStream Platform: Data and Application Management for the Internet of Things | 2020 | CIDR | 6.1708665e-05 |
| 9,472 | Query Compilation Without Regrets | 2024 | SIGMOD | 5.1711207e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,637 | Apache IoTDB: Time-series Database for Internet of Things | 2020 | VLDB |
| 2 | 12,686 | UpStream: A Storage-centric Load Management System for Real-time Update Streams | 2011 | VLDB |
| 3 | 3,370 | Frontier: Resilient Edge Processing for the Internet of Things | 2018 | VLDB |
| 4 | 14,109 | The OSIRIS-SE (Stream-Enabled) Infrastructure for Reliable Data Stream Management on Mobile Devices | 2007 | SIGMOD |
| 5 | 10,986 | Demonstrating Samsara: A Super-Optimizer for Multimodal Stream Processing | 2026 | VLDB |
| 6 | 10,541 | Accelerating Stream Processing Engines via Hardware Offloading | 2026 | SIGMOD |
| 7 | 12,245 | Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing | 2018 | VLDB |
| 8 | 13,630 | Mobility Stream Processing on NebulaStream and MEOS | 2025 | SIGMOD |
| 9 | 7,255 | Showcasing Data Management Challenges for Future IoT Applications with NebulaStream | 2023 | VLDB |
| 10 | 5,343 | The NebulaStream Platform: Data and Application Management for the Internet of Things | 2020 | CIDR |