The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing
Summary: Introduces the Dataflow Model for massive-scale, unbounded, out-of-order streams, treating results as perpetually evolving rather than eventually complete. Exposes principled tradeoffs among event-time correctness, latency, and cost via watermarks, triggers, and retractions. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tyler Akidau (Google)
- 2. Robert Bradshaw (Google)
- 3. Craig Chambers (Google)
- 4. Slava Chernyak (Google)
- 5. Rafael J. Fernández-Moctezuma (Google)
- 6. Reuven Lax (Google)
- 7. Sam McVeety (Google)
- 8. Daniel Mills (Google)
- 9. Frances Perry (Google)
- 10. Eric Schmidt (Google)
- 11. Sam Whittle (Google)
BibTeX Citation
@article{akidau_vldb15,
title = {{The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing}},
author = {Akidau, Tyler and Bradshaw, Robert and Chambers, Craig and Chernyak, Slava and Fernández-Moctezuma, Rafael J. and Lax, Reuven and McVeety, Sam and Mills, Daniel and Perry, Frances and Schmidt, Eric and Whittle, Sam},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {1792--1803},
doi = {10.14778/2824032.2824076},
url = {https://doi.org/10.14778/2824032.2824076},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 72 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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