Accelerating Aggregation Queries on Unstructured Streams of Data
Summary: InQuest: streaming, multimodal aggregation over unstructured data using cheap proxy models plus sampling to limit expensive oracle invocations, producing real-time approximate query answers with statistical guarantees. Theory: expected error on stationary streams decays ∝1/(oracle budget); evaluation: matches streaming baselines with up to 5× fewer oracle calls and improves RMSE vs a state-of-the-art batch method. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Matthew Russo (Stanford University)
- 2. Tatsunori Hashimoto (Stanford University)
- 3. Daniel Kang (University of Illinois Urbana-Champaign)
- 4. Yi Sun (University of Chicago)
- 5. Matei Zaharia (Stanford University)
BibTeX Citation
@article{russo_vldb23,
title = {{Accelerating Aggregation Queries on Unstructured Streams of Data}},
author = {Russo, Matthew and Hashimoto, Tatsunori and Kang, Daniel and Sun, Yi and Zaharia, Matei},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {11},
pages = {2897--2910},
doi = {10.14778/3611479.3611496},
url = {https://doi.org/10.14778/3611479.3611496},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,081 | Abacus: A Cost-Based Optimizer for Semantic Operator Systems | 2026 | VLDB | 6.9165634e-05 |
| 8,204 | PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees | 2025 | SIGMOD | 5.4667903e-05 |
| 8,829 | Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees | 2026 | SIGMOD | 5.3613784e-05 |
| 10,137 | Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics | 2026 | CIDR | 5.093636e-05 |
| 10,504 | Task Cascades for Efficient Unstructured Data Processing | 2026 | SIGMOD | 5.093636e-05 |
| 10,634 | Efficient Approximate Query Processing with Block Sampling | 2025 | CIDR | 5.093636e-05 |
| 10,670 | MAST: Towards Efficient Analytical Query Processing on Point Cloud Data | 2025 | SIGMOD | 5.093636e-05 |
| 10,795 | Scalable Complex Event Processing on Video Streams | 2025 | SIGMOD | 5.093636e-05 |
| 10,917 | Deja Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse | 2025 | VLDB | 5.093636e-05 |
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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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