Trill: A High-Performance Incremental Query Processor for Diverse Analytics
Summary: Trill's tempo-relational model unifies streaming and relational analytics with early results. Streaming batched-columnar data and dynamic compilation yield 2–4x higher streaming throughput, offline queries competitive with modern columnar DBMS, and integration as a high-level library across fabrics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Badrish Chandramouli (Microsoft)
- 2. Jonathan Goldstein (Microsoft)
- 3. Mike Barnett (Microsoft)
- 4. Robert DeLine (Microsoft)
- 5. Danyel Fisher (Microsoft)
- 6. John C. Platt (Microsoft)
- 7. James F. Terwilliger (Microsoft)
- 8. John Wernsing (Microsoft)
BibTeX Citation
@article{chandramouli_vldb15,
title = {{Trill: A High-Performance Incremental Query Processor for Diverse Analytics}},
author = {Chandramouli, Badrish and Goldstein, Jonathan and Barnett, Mike and DeLine, Robert and Fisher, Danyel and Platt, John C. and Terwilliger, James F. and Wernsing, John},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {4},
pages = {401--412},
doi = {10.14778/2735496.2735502},
url = {https://doi.org/10.14778/2735496.2735502},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 58 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,951 | Cquirrel: Continuous Query Processing over Acyclic Relational Schemas | 2021 | VLDB | 5.1915905e-05 |
| 9,973 | Exploiting Structure in Regular Expression Queries | 2023 | SIGMOD | 5.1845938e-05 |
| 10,070 | Darwin: Scale-In Stream Processing | 2022 | CIDR | 5.1633991e-05 |
| 10,102 | Distributed Stream KNN Join | 2021 | SIGMOD | 5.1488731e-05 |
| 11,443 | Fries: Fast and Consistent Runtime Reconfiguration in Dataflow Systems with Transactional Guarantees | 2023 | VLDB | 5.093636e-05 |
| 11,665 | Klink: Progress-Aware Scheduling for Streaming Data Systems | 2021 | SIGMOD | 5.093636e-05 |
| 11,683 | Real-time Data Infrastructure at Uber | 2021 | SIGMOD | 5.093636e-05 |
| 11,696 | Achieving High Throughput and Elasticity in a Larger-than-Memory Store | 2021 | VLDB | 5.093636e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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