Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables
Summary: DVS bridges streaming and databases, formalizing eager computation and end-to-end invariants. Dynamic Tables enable declarative streaming with IVM-aware deployment, delivering scalable, latency-tunable analytics and enterprise features. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel Sotolongo (Snowflake)
- 2. Daniel Mills (Snowflake)
- 3. Tyler Akidau (Snowflake)
- 4. Anirudh Santhiar (Snowflake)
- 5. Attila-Péter Tóth (Snowflake)
- 6. Botong Huang (Snowflake)
- 7. Boyuan Zhang (Snowflake)
- 8. Igor Belianski (Snowflake)
- 9. Ling Geng (Snowflake)
- 10. Matt Uhlar (Snowflake)
- 11. Nikhil Shah (Snowflake)
- 12. Olivia Zhou (Snowflake)
- 13. Saras Nowak (Snowflake)
- 14. Sasha Lionheart (Snowflake)
- 15. Vlad Lifliand (Snowflake)
- 16. Wendy Grus (Snowflake)
- 17. Yiwen Zhu (Snowflake)
- 18. Ankur Sharma (Snowflake)
- 19. Dzmitry Pauliukevich (Snowflake)
- 20. Enrico Sartorello (Snowflake)
- 21. Ilaria Battiston (Snowflake)
- 22. Ivan Kalev (Snowflake)
- 23. Lawrence Benson (Snowflake)
- 24. Leon Papke (Snowflake)
- 25. Niklas Semmler (Snowflake)
- 26. Till Merker (Snowflake)
- 27. Yi Huang (Snowflake)
BibTeX Citation
@inproceedings{sotolongo_sigmod25,
title = {{Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables}},
author = {Sotolongo, Daniel and Mills, Daniel and Akidau, Tyler and Santhiar, Anirudh and Tóth, Attila-Péter and Huang, Botong and Zhang, Boyuan and Belianski, Igor and Geng, Ling and Uhlar, Matt and Shah, Nikhil and Zhou, Olivia and Nowak, Saras and Lionheart, Sasha and Lifliand, Vlad and Grus, Wendy and Zhu, Yiwen and Sharma, Ankur and Pauliukevich, Dzmitry and Sartorello, Enrico and Battiston, Ilaria and Kalev, Ivan and Benson, Lawrence and Papke, Leon and Semmler, Niklas and Merker, Till and Huang, Yi},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3724455},
url = {https://dl.acm.org/doi/10.1145/3722212.3724455},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,160 | Maintaining Queries under Updates Using Heavy-Light Partitioning of the Input Relations | 2026 | PODS | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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