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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)

Paper ID
h8bbc7cfef190382e
Venue
VLDB
Year
2015
Pagerank
0.00014782777
Overall Rank
685 | 95.40%
DOI
10.14778/2735496.2735502

Incoming Non-self Citations Over Time

Authors

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 50 of 60 citing papers.

Rank Citing Paper Year Venue Pagerank
325 The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing 2015 VLDB 0.00020964941
1,082 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00012122749
1,123 Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark 2018 SIGMOD 0.0001193233
1,829 DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models 2019 SIGMOD 9.5510333e-05
1,833 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.5405247e-05
1,938 S-Store: Streaming Meets Transaction Processing 2015 VLDB 9.3342542e-05
2,436 Mison: A Fast JSON Parser for Data Analytics 2017 VLDB 8.4708399e-05
2,873 SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics 2017 CIDR 7.9225385e-05
3,033 Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems 2018 VLDB 7.7337998e-05
3,047 Handling Highly Contended OLTP Workloads Using Fast Dynamic Partitioning 2020 SIGMOD 7.7124257e-05
3,106 SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures 2016 SIGMOD 7.6428848e-05
3,112 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 7.6357579e-05
3,128 How to Win a Hot Dog Eating Contest: Distributed Incremental View Maintenance with Batch Updates 2016 SIGMOD 7.6151967e-05
3,922 Analyzing Efficient Stream Processing on Modern Hardware 2019 VLDB 6.9229432e-05
3,984 Data Canopy: Accelerating Exploratory Statistical Analysis 2017 SIGMOD 6.8741188e-05
4,450 Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka 2021 SIGMOD 6.594912e-05
4,918 LightSaber: Efficient Window Aggregation on Multi-core Processors 2020 SIGMOD 6.3548575e-05
5,057 Change Propagation Without Joins 2023 VLDB 6.2927647e-05
5,230 Babelfish: Efficient Execution of Polyglot Queries 2022 VLDB 6.2189001e-05
5,391 Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First 2026 CIDR 6.1504174e-05
5,449 High-Performance Row Pattern Recognition Using Joins 2023 VLDB 6.1254016e-05
6,123 Parallel Index-based Stream Join on a Multicore CPU 2020 SIGMOD 5.8789534e-05
6,174 Helios: Hyperscale Indexing for the Cloud & Edge 2020 VLDB 5.8612829e-05
6,227 iOLAP: Managing Uncertainty for Efficient Incremental OLAP 2016 SIGMOD 5.8452386e-05
6,245 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.837329e-05
6,386 Maintaining Acyclic Foreign-Key Joins under Updates 2020 SIGMOD 5.8040725e-05
6,441 Grizzly: Efficient Stream Processing Through Adaptive Query Compilation 2020 SIGMOD 5.7834762e-05
6,541 A Holistic View of Stream Partitioning Costs 2017 VLDB 5.7523608e-05
6,599 AStream: Ad-hoc Shared Stream Processing 2019 SIGMOD 5.7404438e-05
6,620 Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow 2021 VLDB 5.7315465e-05
6,787 Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile 2021 VLDB 5.6820544e-05
6,989 FASTER: An Embedded Concurrent Key-Value Store for State Management 2018 VLDB 5.6274028e-05
7,319 Ananke: A Streaming Framework for Live Forward Provenance 2021 VLDB 5.5543783e-05
7,609 Computing Complex Temporal Join Queries Efficiently 2022 SIGMOD 5.4847975e-05
7,722 Resource-efficient Shared Query Execution via Exploiting Time Slackness 2021 SIGMOD 5.467573e-05
7,836 Quill: Efficient, Transferable, and Rich Analytics at Scale 2016 VLDB 5.4435399e-05
8,131 Thrifty Query Execution via Incrementability 2020 SIGMOD 5.3936608e-05
8,140 Concurrent Prefix Recovery: Performing CPR on a Database 2019 SIGMOD 5.3920142e-05
8,334 Continual Observation of Joins under Differential Privacy 2024 SIGMOD 5.3527996e-05
8,404 Spur: Mitigating Slow Instances in Large-Scale Streaming Pipelines 2020 SIGMOD 5.3385814e-05
8,424 Correctness in Stream Processing: Challenges and Opportunities 2022 CIDR 5.3350162e-05
8,542 Serverless State Management Systems 2024 CIDR 5.3189983e-05
8,864 Optimization of Threshold Functions over Streams 2021 VLDB 5.262266e-05
8,866 T-ReX: Optimizing Pattern Search on Time Series 2023 SIGMOD 5.2617171e-05
9,200 Dalton: Learned Partitioning for Distributed Data Streams 2023 VLDB 5.2084806e-05
9,252 Enabling Signal Processing over Data Streams 2017 SIGMOD 5.2056825e-05
9,471 Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing 2019 SIGMOD 5.1711628e-05
9,633 Shrink - Prescribing Resiliency Solutions for Streaming 2017 VLDB 5.1471224e-05
9,810 Scabbard: Single-Node Fault-Tolerant Stream Processing 2022 VLDB 5.1257999e-05
10,082 DARQ Matter Binds Everything: Performant and Composable Cloud Programming via Resilient Steps 2023 SIGMOD 5.0830849e-05
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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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