Dataflow Model

Hold

Techniques

A model for processing unbounded data with concepts like windowing, triggers, watermarks, and retractions.

Why it's here

Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

5Hacker News·9/6/2026research
Dataflow Model Revisited After 11 Years
The authors revisit their 2014 Dataflow Model paper after it received a VLDB Test of Time award. They say key ideas such as event time, not waiting for completeness, and strong consistency held up, but that windowing and triggers were overemphasized and that stream and table semantics were the deeper abstraction.