| 320 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
124 |
0.00021128745 |
| 605 |
CAESURA: Language Models as Multi-Modal Query Planners |
2024 |
CIDR |
35 |
0.00015630219 |
| 751 |
QAGen: Generating Query-Aware Test Databases |
2007 |
SIGMOD |
31 |
0.00014245413 |
| 774 |
FITing-Tree: A Data-aware Index Structure |
2019 |
SIGMOD |
70 |
0.00014063511 |
| 912 |
Dictionary-based Order-preserving String Compression for Main Memory Column Stores |
2009 |
SIGMOD |
31 |
0.00013092547 |
| 928 |
The End of Slow Networks: It's Time for a Redesign |
2016 |
VLDB |
49 |
0.00013012601 |
| 948 |
Democratizing Data Science through Interactive Curation of ML Pipelines |
2019 |
SIGMOD |
29 |
0.00012900728 |
| 1,139 |
BlockchainDB - A Shared Database on Blockchains |
2019 |
VLDB |
24 |
0.00011833542 |
| 1,349 |
The End of a Myth: Distributed Transactions Can Scale |
2017 |
VLDB |
46 |
0.00010940559 |
| 1,370 |
Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks |
2019 |
SIGMOD |
35 |
0.00010875068 |
| 1,449 |
An Architecture for Compiling UDF-centric Workflows |
2015 |
VLDB |
33 |
0.00010597074 |
| 1,804 |
IDEBench: A Benchmark for Interactive Data Exploration |
2020 |
SIGMOD |
26 |
9.5971444e-05 |
| 1,887 |
Making the Case for Query-by-Voice with EchoQuery |
2016 |
SIGMOD |
13 |
9.4182022e-05 |
| 1,999 |
DBPal: A Fully Pluggable NL2SQL Training Pipeline |
2020 |
SIGMOD |
11 |
9.2108564e-05 |
| 2,108 |
Vizdom: Interactive Analytics through Pen and Touch |
2015 |
VLDB |
29 |
9.0229444e-05 |
| 2,481 |
Learning a Partitioning Advisor for Cloud Databases |
2020 |
SIGMOD |
25 |
8.3862675e-05 |
| 2,619 |
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction |
2022 |
VLDB |
37 |
8.1985665e-05 |
| 2,747 |
DBPal: A Learned NL-Interface for Databases |
2018 |
SIGMOD |
8 |
8.0453676e-05 |
| 2,834 |
DB4ML – An In-Memory Database Kernel with Machine Learning Support |
2020 |
SIGMOD |
13 |
7.9442734e-05 |
| 2,848 |
Towards Sustainable Insights or why polygamy is bad for you |
2017 |
CIDR |
6 |
7.9234942e-05 |
| 3,258 |
Locality-aware Partitioning in Parallel Database Systems |
2015 |
SIGMOD |
21 |
7.4730157e-05 |
| 3,293 |
Controlling False Discoveries During Interactive Data Exploration |
2017 |
SIGMOD |
9 |
7.4335786e-05 |
| 3,428 |
Revisiting Reuse for Approximate Query Processing |
2017 |
VLDB |
22 |
7.2957009e-05 |
| 3,616 |
DFI: The Data Flow Interface for High-Speed Networks |
2021 |
SIGMOD |
15 |
7.1381983e-05 |
| 3,816 |
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA |
2022 |
SIGMOD |
23 |
6.9852219e-05 |
| 3,868 |
GaccO - A GPU-accelerated OLTP DBMS |
2022 |
SIGMOD |
12 |
6.9436655e-05 |
| 4,412 |
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA |
2023 |
SIGMOD |
13 |
6.5988566e-05 |
| 4,549 |
One Model to Rule them All: Towards Zero-Shot Learning for Databases |
2022 |
CIDR |
17 |
6.5328866e-05 |
| 4,641 |
How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks |
2025 |
SIGMOD |
14 |
6.4739208e-05 |
| 4,872 |
GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP |
2024 |
SIGMOD |
12 |
6.3582628e-05 |
| 5,234 |
ELEET: Efficient Learned Query Execution over Text and Tables |
2024 |
VLDB |
8 |
6.204849e-05 |
| 5,337 |
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks |
2020 |
SIGMOD |
16 |
6.1613626e-05 |
| 5,373 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
14 |
6.1405913e-05 |
| 5,546 |
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data |
2020 |
SIGMOD |
10 |
6.071729e-05 |
| 5,642 |
Revisiting Reuse in Main Memory Database Systems |
2017 |
SIGMOD |
11 |
6.0370517e-05 |
| 5,807 |
OLTPShare: The Case for Sharing in OLTP Workloads |
2018 |
VLDB |
8 |
5.9709922e-05 |
| 6,288 |
Is Scalable OLTP in the Cloud a Solved Problem? Analyzing Data Access for Distributed OLTP Architectures |
2023 |
CIDR |
9 |
5.8063583e-05 |
| 6,332 |
Robust Performance of Main Memory Data Structures by Configuration |
2020 |
SIGMOD |
6 |
5.7934902e-05 |
| 6,434 |
BlockchainDB - Towards a Shared Database on Blockchains |
2019 |
SIGMOD |
3 |
5.7684074e-05 |
| 6,547 |
DPI: The Data Processing Interface for Modern Networks |
2019 |
CIDR |
10 |
5.7326481e-05 |
| 6,674 |
A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores |
2019 |
VLDB |
7 |
5.6969479e-05 |
| 6,881 |
Estimating the Impact of Unknown Unknowns on Aggregate Query Results |
2016 |
SIGMOD |
8 |
5.6415853e-05 |
| 7,388 |
Towards Foundation Database Models |
2025 |
CIDR |
4 |
5.5211011e-05 |
| 7,723 |
ReStore - Neural Data Completion for Relational Databases |
2021 |
SIGMOD |
3 |
5.4534466e-05 |
| 7,844 |
Bespoke OLAP: Synthesizing Workload-Specific One-size-fits-one Database Engines |
2026 |
VLDB |
2 |
5.4255843e-05 |
| 7,930 |
Databases on Modern Networks: A Decade of Research That Now Comes into Practice |
2023 |
VLDB |
3 |
5.4078897e-05 |
| 8,179 |
P4DB - The Case for In-Network OLTP |
2022 |
SIGMOD |
6 |
5.3676622e-05 |
| 8,214 |
Testing Database Applications |
2006 |
SIGMOD |
1 |
5.3607062e-05 |
| 8,442 |
Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing |
2025 |
SIGMOD |
1 |
5.3148581e-05 |
| 8,769 |
ProgressiveDB – Progressive Data Analytics as a Middleware |
2019 |
VLDB |
3 |
5.2691244e-05 |
| 8,781 |
Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs |
2024 |
SIGMOD |
4 |
5.2647498e-05 |
| 9,095 |
A Vision for Autonomous Data Agent Collaboration: From Query-by-Integration to Query-by-Collaboration |
2026 |
CIDR |
1 |
5.208561e-05 |
| 9,098 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
1 |
5.208561e-05 |
| 9,809 |
Cost-based Fault-tolerance for Parallel Data Processing |
2015 |
SIGMOD |
1 |
5.1125251e-05 |
| 9,820 |
Sharing Opportunities for OLTP Workloads in Different Isolation Levels |
2020 |
VLDB |
2 |
5.1102717e-05 |
| 9,948 |
High-Performance DBMSs with io_uring: When and How to Use It |
2026 |
VLDB |
3 |
5.0910746e-05 |
| 10,258 |
DBMS Fitting: Why should we learn what we already know? |
2020 |
CIDR |
5 |
5.0391159e-05 |
| 10,278 |
Redbench: Workload Synthesis From Cloud Traces |
2026 |
VLDB |
2 |
5.0334833e-05 |
| 10,872 |
PystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,056 |
Demonstrating Samsara: A Super-Optimizer for Multimodal Stream Processing |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,447 |
Opening The Black-Box: Explaining Learned Cost Models For Databases |
2025 |
VLDB |
1 |
4.9605343e-05 |
| 11,455 |
How SMPC Query Execution can be sped up through Efficient and Flexible Intermediate Result Size Trimming |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 11,486 |
Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or both? |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 11,713 |
Generalizable Data Cleaning of Tabular Data in Latent Space |
2024 |
VLDB |
0 |
4.9605343e-05 |
| 11,772 |
Steered Training Data Generation for Learned Semantic Type Detection |
2023 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,909 |
Demonstrating ASET: Ad-hoc Structured Exploration of Text Collections |
2022 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,959 |
DBMS Annihilator: A High-Performance Database Workload Generator in Action |
2022 |
VLDB |
2 |
4.9605343e-05 |
| 11,985 |
AnyDB: An Architecture-less DBMS for Any Workload |
2021 |
CIDR |
0 |
4.9605343e-05 |
| 12,282 |
Sherlock: A System for Interactive Summarization of Large Text Collections |
2018 |
VLDB |
0 |
4.9605343e-05 |
| 12,338 |
Safe Visual Data Exploration |
2017 |
SIGMOD |
1 |
4.9605343e-05 |
| 12,512 |
DoomDB - Kill the Query |
2014 |
SIGMOD |
0 |
4.9605343e-05 |
| 13,684 |
PACMMOD V3, N4 (SIGMOD), September 2025: Editorial |
2025 |
SIGMOD |
0 |
- |
| 13,700 |
JUSTINE (JUST-INsert Engine): Demonstrating Self-organizing Data Schemas |
2025 |
VLDB |
0 |
- |
| 13,781 |
Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases |
2022 |
VLDB |
0 |
- |
| 13,785 |
Demonstrating Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data |
2022 |
VLDB |
0 |
- |