Demonstrating Samsara: A Super-Optimizer for Multimodal Stream Processing
Summary: Samsara is a super-optimizer for real-time multimodal streams, specializing query plans to both workload and incoming data. Its demo exposes semantic, logical, and physical rewrites that eliminate redundant MLLM calls while trading off responsiveness and accuracy. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Alessandro Ferri (German National Research Center for Information Technology; Technical University of Darmstadt)
- 2. Uélison Jean Lopes dos Santos (German National Research Center for Information Technology; Technical University of Darmstadt)
- 3. Szilard Nistor (German National Research Center for Information Technology; Technical University of Darmstadt)
- 4. Pratyush Agnihotri (German National Research Center for Information Technology; Technical University of Darmstadt)
- 5. Manisha Luthra (Ruhr University Bochum; Technical University of Darmstadt)
- 6. Carsten Binnig (German National Research Center for Information Technology; Hessian.AI; Technical University of Darmstadt)
BibTeX Citation
@article{ferri_vldb26,
title = {{Demonstrating Samsara: A Super-Optimizer for Multimodal Stream Processing}},
author = {Ferri, Alessandro and Santos, Uélison Jean Lopes dos and Nistor, Szilard and Agnihotri, Pratyush and Luthra, Manisha and Binnig, Carsten},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4666--4669},
doi = {10.14778/3827998.3828092},
url = {https://doi.org/10.14778/3827998.3828092},
year = {2026}
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Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 669 | CAESURA: Language Models as Multi-Modal Query Planners | 2024 | CIDR | 0.0001495987 |
| 683 | DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing | 2025 | VLDB | 0.00014817539 |
| 2,450 | ThalamusDB: Approximate Query Processing on Multi-Modal Data | 2024 | SIGMOD | 8.4474092e-05 |
| 2,982 | Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS | 2025 | VLDB | 7.7845174e-05 |
| 7,370 | NebulaStream: An Extensible, High-Performance Streaming Engine for Multi-Modal Edge Applications | 2025 | SIGMOD | 5.5407456e-05 |
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