| 318 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
124 |
0.00021166957 |
| 655 |
CAESURA: Language Models as Multi-Modal Query Planners |
2024 |
CIDR |
32 |
0.00015090153 |
| 748 |
QAGen: Generating Query-Aware Test Databases |
2007 |
SIGMOD |
31 |
0.00014277246 |
| 768 |
FITing-Tree: A Data-aware Index Structure |
2019 |
SIGMOD |
70 |
0.00014107655 |
| 910 |
Dictionary-based Order-preserving String Compression for Main Memory Column Stores |
2009 |
SIGMOD |
31 |
0.00013122392 |
| 945 |
The End of Slow Networks: It's Time for a Redesign |
2016 |
VLDB |
48 |
0.00012933247 |
| 976 |
Democratizing Data Science through Interactive Curation of ML Pipelines |
2019 |
SIGMOD |
28 |
0.0001274453 |
| 1,136 |
BlockchainDB - A Shared Database on Blockchains |
2019 |
VLDB |
24 |
0.00011870351 |
| 1,339 |
The End of a Myth: Distributed Transactions Can Scale |
2017 |
VLDB |
46 |
0.0001097043 |
| 1,366 |
Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks |
2019 |
SIGMOD |
35 |
0.00010908555 |
| 1,445 |
An Architecture for Compiling UDF-centric Workflows |
2015 |
VLDB |
33 |
0.00010628379 |
| 1,797 |
IDEBench: A Benchmark for Interactive Data Exploration |
2020 |
SIGMOD |
26 |
9.6143465e-05 |
| 1,879 |
Making the Case for Query-by-Voice with EchoQuery |
2016 |
SIGMOD |
13 |
9.4489661e-05 |
| 2,014 |
DBPal: A Fully Pluggable NL2SQL Training Pipeline |
2020 |
SIGMOD |
11 |
9.185301e-05 |
| 2,097 |
Vizdom: Interactive Analytics through Pen and Touch |
2015 |
VLDB |
29 |
9.0525341e-05 |
| 2,476 |
Learning a Partitioning Advisor for Cloud Databases |
2020 |
SIGMOD |
25 |
8.407183e-05 |
| 2,777 |
DBPal: A Learned NL-Interface for Databases |
2018 |
SIGMOD |
8 |
8.0271197e-05 |
| 2,829 |
DB4ML – An In-Memory Database Kernel with Machine Learning Support |
2020 |
SIGMOD |
13 |
7.9592539e-05 |
| 2,840 |
Towards Sustainable Insights or why polygamy is bad for you |
2017 |
CIDR |
6 |
7.948968e-05 |
| 2,879 |
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction |
2022 |
VLDB |
34 |
7.9126862e-05 |
| 3,241 |
Locality-aware Partitioning in Parallel Database Systems |
2015 |
SIGMOD |
21 |
7.4972383e-05 |
| 3,281 |
Controlling False Discoveries During Interactive Data Exploration |
2017 |
SIGMOD |
9 |
7.4574856e-05 |
| 3,417 |
Revisiting Reuse for Approximate Query Processing |
2017 |
VLDB |
22 |
7.3184905e-05 |
| 3,609 |
DFI: The Data Flow Interface for High-Speed Networks |
2021 |
SIGMOD |
15 |
7.1617145e-05 |
| 3,827 |
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA |
2022 |
SIGMOD |
23 |
6.9972263e-05 |
| 3,862 |
GaccO - A GPU-accelerated OLTP DBMS |
2022 |
SIGMOD |
12 |
6.9623352e-05 |
| 4,389 |
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA |
2023 |
SIGMOD |
13 |
6.6202227e-05 |
| 4,536 |
One Model to Rule them All: Towards Zero-Shot Learning for Databases |
2022 |
CIDR |
17 |
6.552998e-05 |
| 4,992 |
GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP |
2024 |
SIGMOD |
11 |
6.3217714e-05 |
| 5,208 |
ELEET: Efficient Learned Query Execution over Text and Tables |
2024 |
VLDB |
8 |
6.2254341e-05 |
| 5,316 |
How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks |
2025 |
SIGMOD |
12 |
6.1827415e-05 |
| 5,320 |
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks |
2020 |
SIGMOD |
16 |
6.1813707e-05 |
| 5,376 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
14 |
6.1555648e-05 |
| 5,573 |
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data |
2020 |
SIGMOD |
10 |
6.0774723e-05 |
| 5,638 |
Revisiting Reuse in Main Memory Database Systems |
2017 |
SIGMOD |
11 |
6.0546358e-05 |
| 5,793 |
OLTPShare: The Case for Sharing in OLTP Workloads |
2018 |
VLDB |
8 |
5.9906809e-05 |
| 6,274 |
Is Scalable OLTP in the Cloud a Solved Problem? Analyzing Data Access for Distributed OLTP Architectures |
2023 |
CIDR |
9 |
5.8256214e-05 |
| 6,321 |
Robust Performance of Main Memory Data Structures by Configuration |
2020 |
SIGMOD |
6 |
5.8126925e-05 |
| 6,425 |
BlockchainDB - Towards a Shared Database on Blockchains |
2019 |
SIGMOD |
3 |
5.7872603e-05 |
| 6,536 |
DPI: The Data Processing Interface for Modern Networks |
2019 |
CIDR |
10 |
5.7514775e-05 |
| 6,662 |
A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores |
2019 |
VLDB |
7 |
5.7155423e-05 |
| 6,885 |
Estimating the Impact of Unknown Unknowns on Aggregate Query Results |
2016 |
SIGMOD |
8 |
5.6546466e-05 |
| 7,386 |
Towards Foundation Database Models |
2025 |
CIDR |
4 |
5.5360368e-05 |
| 7,710 |
ReStore - Neural Data Completion for Relational Databases |
2021 |
SIGMOD |
3 |
5.471539e-05 |
| 7,826 |
Bespoke OLAP: Synthesizing Workload-Specific One-size-fits-one Database Engines |
2026 |
VLDB |
2 |
5.4435842e-05 |
| 7,916 |
Databases on Modern Networks: A Decade of Research That Now Comes into Practice |
2023 |
VLDB |
3 |
5.4258309e-05 |
| 8,163 |
P4DB - The Case for In-Network OLTP |
2022 |
SIGMOD |
6 |
5.3854685e-05 |
| 8,199 |
Testing Database Applications |
2006 |
SIGMOD |
1 |
5.378488e-05 |
| 8,426 |
Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing |
2025 |
SIGMOD |
1 |
5.3324907e-05 |
| 8,749 |
ProgressiveDB – Progressive Data Analytics as a Middleware |
2019 |
VLDB |
3 |
5.2865484e-05 |
| 8,760 |
Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs |
2024 |
SIGMOD |
4 |
5.2822161e-05 |
| 9,074 |
A Vision for Autonomous Data Agent Collaboration: From Query-by-Integration to Query-by-Collaboration |
2026 |
CIDR |
1 |
5.2258409e-05 |
| 9,078 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
1 |
5.2258409e-05 |
| 9,778 |
Cost-based Fault-tolerance for Parallel Data Processing |
2015 |
SIGMOD |
1 |
5.1294772e-05 |
| 9,788 |
Sharing Opportunities for OLTP Workloads in Different Isolation Levels |
2020 |
VLDB |
2 |
5.1272255e-05 |
| 9,913 |
High-Performance DBMSs with io_uring: When and How to Use It |
2026 |
VLDB |
3 |
5.1079647e-05 |
| 10,223 |
DBMS Fitting: Why should we learn what we already know? |
2020 |
CIDR |
5 |
5.0558336e-05 |
| 10,248 |
Redbench: Workload Synthesis From Cloud Traces |
2026 |
VLDB |
2 |
5.0501823e-05 |
| 10,811 |
PystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 10,995 |
Demonstrating Samsara: A Super-Optimizer for Multimodal Stream Processing |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 11,394 |
Opening The Black-Box: Explaining Learned Cost Models For Databases |
2025 |
VLDB |
1 |
4.9769913e-05 |
| 11,402 |
How SMPC Query Execution can be sped up through Efficient and Flexible Intermediate Result Size Trimming |
2025 |
VLDB |
0 |
4.9769913e-05 |
| 11,433 |
Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or both? |
2025 |
VLDB |
0 |
4.9769913e-05 |
| 11,667 |
Generalizable Data Cleaning of Tabular Data in Latent Space |
2024 |
VLDB |
0 |
4.9769913e-05 |
| 11,726 |
Steered Training Data Generation for Learned Semantic Type Detection |
2023 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,865 |
Demonstrating ASET: Ad-hoc Structured Exploration of Text Collections |
2022 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,915 |
DBMS Annihilator: A High-Performance Database Workload Generator in Action |
2022 |
VLDB |
2 |
4.9769913e-05 |
| 11,941 |
AnyDB: An Architecture-less DBMS for Any Workload |
2021 |
CIDR |
0 |
4.9769913e-05 |
| 12,239 |
Sherlock: A System for Interactive Summarization of Large Text Collections |
2018 |
VLDB |
0 |
4.9769913e-05 |
| 12,295 |
Safe Visual Data Exploration |
2017 |
SIGMOD |
1 |
4.9769913e-05 |
| 12,469 |
DoomDB - Kill the Query |
2014 |
SIGMOD |
0 |
4.9769913e-05 |
| 13,644 |
PACMMOD V3, N4 (SIGMOD), September 2025: Editorial |
2025 |
SIGMOD |
0 |
- |
| 13,660 |
JUSTINE (JUST-INsert Engine): Demonstrating Self-organizing Data Schemas |
2025 |
VLDB |
0 |
- |
| 13,741 |
Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases |
2022 |
VLDB |
0 |
- |
| 13,745 |
Demonstrating Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data |
2022 |
VLDB |
0 |
- |