| 128 |
The Design of the Borealis Stream Processing Engine |
2005 |
CIDR |
97 |
0.00030317705 |
| 142 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
180 |
0.00029114937 |
| 173 |
Monitoring Streams – A New Class of Data Management Applications |
2002 |
VLDB |
65 |
0.0002691472 |
| 355 |
Bao: Making Learned Query Optimization Practical |
2021 |
SIGMOD |
132 |
0.00020146245 |
| 680 |
Load Shedding in a Data Stream Manager |
2003 |
VLDB |
43 |
0.00014799878 |
| 1,548 |
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series |
2021 |
VLDB |
15 |
0.00010265663 |
| 1,740 |
Flow-Loss: Learning Cardinality Estimates That Matter |
2021 |
VLDB |
60 |
9.7289523e-05 |
| 1,951 |
S-Store: Streaming Meets Transaction Processing |
2015 |
VLDB |
22 |
9.302451e-05 |
| 1,957 |
Aurora: A Data Stream Management System |
2003 |
SIGMOD |
18 |
9.2907617e-05 |
| 2,500 |
A Demonstration of the BigDAWG Polystore System |
2015 |
VLDB |
13 |
8.3598881e-05 |
| 2,577 |
Plan-based Complex Event Detection across Distributed Sources |
2008 |
VLDB |
14 |
8.2538023e-05 |
| 3,174 |
S-Store: A Streaming NewSQL System for Big Velocity Applications |
2014 |
VLDB |
14 |
7.552969e-05 |
| 3,268 |
SECRET: A Model for Analysis of the Execution Semantics of Stream Processing Systems |
2010 |
VLDB |
10 |
7.4653816e-05 |
| 3,269 |
Robust Query Driven Cardinality Estimation under Changing Workloads |
2023 |
VLDB |
38 |
7.463682e-05 |
| 3,718 |
DejaVu: Declarative Pattern Matching over Live and Archived Streams of Events |
2009 |
SIGMOD |
7 |
7.0530259e-05 |
| 4,607 |
Window-Aware Load Shedding for Aggregation Queries over Data Streams |
2006 |
VLDB |
7 |
6.4894359e-05 |
| 4,683 |
AutoSteer: Learned Query Optimization for Any SQL Database |
2023 |
VLDB |
22 |
6.4545989e-05 |
| 4,967 |
Distributed Operation in the Borealis Stream Processing Engine |
2005 |
SIGMOD |
7 |
6.3217658e-05 |
| 5,667 |
Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing |
2007 |
VLDB |
5 |
6.0280889e-05 |
| 5,935 |
Self-Organizing Data Containers |
2022 |
CIDR |
7 |
5.9251217e-05 |
| 6,094 |
Data Ingestion for the Connected World |
2017 |
CIDR |
5 |
5.8708908e-05 |
| 6,561 |
Extract-Transform-Load for Video Streams |
2023 |
VLDB |
9 |
5.7288224e-05 |
| 7,322 |
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration |
2025 |
CIDR |
2 |
5.5392633e-05 |
| 7,632 |
Are We Experiencing a Big Data Bubble? |
2014 |
SIGMOD |
1 |
5.4637173e-05 |
| 7,880 |
Changing Flights in Mid-air: A Model for Safely Modifying Continuous Queries |
2011 |
SIGMOD |
3 |
5.418675e-05 |
| 8,054 |
Mach: A Pluggable Metrics Storage Engine for the Age of Observability |
2022 |
CIDR |
3 |
5.3833071e-05 |
| 8,577 |
Visual Exploration of Time Series Anomalies with Metro-Viz |
2019 |
SIGMOD |
2 |
5.2967833e-05 |
| 9,250 |
BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curation |
2026 |
CIDR |
1 |
5.1860131e-05 |
| 9,374 |
A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection |
2021 |
VLDB |
2 |
5.1715133e-05 |
| 9,711 |
Debugging Large-Scale Data Science Pipelines using Dagger |
2020 |
VLDB |
3 |
5.1244582e-05 |
| 10,074 |
QO-Insight: Inspecting Steered Query Optimizers |
2023 |
VLDB |
2 |
5.0732737e-05 |
| 11,139 |
KEN: An Execution Engine for Unstructured Database Systems |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,695 |
Mach: Firefighting Time-Critical Issues in Complex Systems Using High-Frequency Telemetry |
2024 |
VLDB |
0 |
4.9605343e-05 |
| 11,965 |
Machine Programming: Turning Data into Programmer Productivity |
2022 |
VLDB |
0 |
4.9605343e-05 |
| 12,735 |
UpStream: A Storage-centric Load Management System for Real-time Update Streams |
2011 |
VLDB |
0 |
4.9605343e-05 |
| 13,793 |
Cloud Observability: A MELTing Pot for Petabytes of Heterogenous Time Series |
2021 |
CIDR |
1 |
- |