ThalamusDB: Approximate Query Processing on Multi-Modal Data
Summary: ThalamusDB: AQPs for complex SQL over multi-modal data, combining relational operators with zero-shot vision/audio/text models and small user label requests for NL predicates. Distinctive for deterministic approximation + user-tunable tradeoffs among error, latency, and labeling overhead via optimizer-guided plans. (summarized by gpt-5.4-mini on May 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Saehan Jo (Cornell University)
- 2. Immanuel Trummer (Cornell University)
BibTeX Citation
@inproceedings{jo_sigmod24,
title = {{ThalamusDB: Approximate Query Processing on Multi-Modal Data}},
author = {Jo, Saehan and Trummer, Immanuel},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3654989},
url = {https://dl.acm.org/doi/10.1145/3654989},
year = {2024}
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