| 57 |
On Random Sampling over Joins |
1999 |
SIGMOD |
90 |
0.0003999751 |
| 73 |
Including Group-By in Query Optimization |
1994 |
VLDB |
59 |
0.00037420958 |
| 89 |
Automated Selection of Materialized Views and Indexes for SQL Databases |
2000 |
VLDB |
129 |
0.00035265687 |
| 151 |
An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server |
1997 |
VLDB |
120 |
0.00028611216 |
| 162 |
Robust and Efficient Fuzzy Match for Online Data Cleaning |
2003 |
SIGMOD |
57 |
0.00027626077 |
| 259 |
An Overview of Query Optimization in Relational Systems |
1998 |
PODS |
79 |
0.00022881075 |
| 278 |
Accelerating Machine Learning Inference with Probabilistic Predicates |
2018 |
SIGMOD |
62 |
0.00022277737 |
| 296 |
Towards Estimation Error Guarantees for Distinct Values |
2000 |
PODS |
59 |
0.00021874894 |
| 308 |
Eliminating Fuzzy Duplicates in Data Warehouses |
2002 |
VLDB |
37 |
0.0002143466 |
| 312 |
Optimization of Real Conjunctive Queries |
1993 |
PODS |
41 |
0.00021306615 |
| 367 |
InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables |
2012 |
SIGMOD |
48 |
0.00019882429 |
| 372 |
STHoles: A Multidimensional Workload-Aware Histogram |
2001 |
SIGMOD |
72 |
0.00019768921 |
| 380 |
AutoAdmin "What-if" Index Analysis Utility |
1998 |
SIGMOD |
75 |
0.00019530546 |
| 457 |
Self-tuning Histograms: Building Histograms Without Looking at Data |
1999 |
SIGMOD |
57 |
0.00017915659 |
| 478 |
Automated Ranking of Database Query Results |
2003 |
CIDR |
30 |
0.00017612826 |
| 493 |
Database Tuning Advisor for Microsoft SQL Server 2005 |
2004 |
VLDB |
67 |
0.0001735831 |
| 518 |
Random Sampling for Histogram Construction: How much is enough? |
1998 |
SIGMOD |
41 |
0.00016918797 |
| 568 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
45 |
0.00016221103 |
| 604 |
Rethinking Database System Architecture: Towards a Self-tuning RISC-style Database System |
2000 |
VLDB |
29 |
0.00015642703 |
| 646 |
Exploiting Statistics on Query Expressions for Optimization |
2002 |
SIGMOD |
38 |
0.00015166402 |
| 647 |
Evaluating Top-k Selection Queries |
1999 |
VLDB |
33 |
0.00015165562 |
| 676 |
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques |
2012 |
VLDB |
46 |
0.00014838681 |
| 687 |
Optimizing Queries over Multimedia Repositories |
1996 |
SIGMOD |
16 |
0.00014736766 |
| 690 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
83 |
0.00014703258 |
| 691 |
Query Optimization in the Presence of Foreign Functions |
1993 |
VLDB |
19 |
0.00014701803 |
| 756 |
Automatic Physical Database Tuning: A Relaxation-based Approach |
2005 |
SIGMOD |
48 |
0.00014209974 |
| 841 |
Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters |
2016 |
SIGMOD |
53 |
0.00013503124 |
| 935 |
Dynamic Sample Selection for Approximate Query Processing |
2003 |
SIGMOD |
44 |
0.00012968914 |
| 958 |
Flexible Database Generators |
2005 |
VLDB |
23 |
0.00012834376 |
| 981 |
On the Equivalence of Recursive and Nonrecursive Datalog Programs |
1992 |
PODS |
15 |
0.00012688969 |
| 1,065 |
Approximate Query Processing: No Silver Bullet |
2017 |
SIGMOD |
44 |
0.00012181098 |
| 1,220 |
Overview of Data Exploration Techniques |
2015 |
SIGMOD |
30 |
0.00011449992 |
| 1,246 |
Compressing SQL Workloads |
2002 |
SIGMOD |
24 |
0.00011355447 |
| 1,275 |
Discovering Queries based on Example Tuples |
2014 |
SIGMOD |
25 |
0.00011213614 |
| 1,282 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
59 |
0.00011197535 |
| 1,345 |
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service |
2013 |
CIDR |
32 |
0.00010952015 |
| 1,513 |
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems |
2021 |
VLDB |
52 |
0.00010394557 |
| 1,517 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
40 |
0.00010385462 |
| 1,582 |
Example-driven Design of Efficient Record Matching Queries |
2007 |
VLDB |
13 |
0.0001015019 |
| 1,587 |
Estimating Progress of Execution for SQL Queries |
2004 |
SIGMOD |
18 |
0.00010119368 |
| 1,669 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
26 |
9.9157758e-05 |
| 1,751 |
Extending Autocompletion To Tolerate Errors |
2009 |
SIGMOD |
17 |
9.7128647e-05 |
| 1,828 |
Effective Use of Block-Level Sampling in Statistics Estimation |
2004 |
SIGMOD |
16 |
9.5396315e-05 |
| 1,897 |
Probabilistic Ranking of Database Query Results |
2004 |
VLDB |
18 |
9.3988624e-05 |
| 1,916 |
Microsoft Index Tuning Wizard for SQL Server 7.0 |
1998 |
SIGMOD |
8 |
9.3655818e-05 |
| 1,963 |
DBXplorer: Enabling Keyword Search over Relational Databases |
2002 |
SIGMOD |
9 |
9.2838424e-05 |
| 2,014 |
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee |
2016 |
SIGMOD |
29 |
9.1775869e-05 |
| 2,260 |
Automatic Categorization of Query Results |
2004 |
SIGMOD |
10 |
8.7355244e-05 |
| 2,297 |
Join Queries with External Text Sources: Execution and Optimization Techniques |
1995 |
SIGMOD |
10 |
8.6659442e-05 |
| 2,329 |
When Can We Trust Progress Estimators for SQL Queries? |
2005 |
SIGMOD |
13 |
8.6188984e-05 |
| 2,381 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
20 |
8.5299827e-05 |
| 2,406 |
Integrating DB and IR Technologies: What is the Sound of One Hand Clapping? * |
2005 |
CIDR |
14 |
8.4962449e-05 |
| 2,416 |
S4: Top-k Spreadsheet-Style Search for Query Discovery |
2015 |
SIGMOD |
15 |
8.4837888e-05 |
| 2,469 |
Leveraging Aggregate Constraints For Deduplication |
2007 |
SIGMOD |
8 |
8.401808e-05 |
| 2,521 |
Optimization of Queries with User-defined Predicates |
1996 |
VLDB |
15 |
8.3339593e-05 |
| 2,581 |
ClusterJoin: A Similarity Joins Framework using Map-Reduce |
2014 |
VLDB |
21 |
8.2491224e-05 |
| 2,608 |
Auto-Join: Joining Tables by Leveraging Transformations |
2017 |
VLDB |
29 |
8.209962e-05 |
| 2,661 |
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries |
2001 |
SIGMOD |
21 |
8.1414177e-05 |
| 2,746 |
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations |
2018 |
VLDB |
21 |
8.0458815e-05 |
| 2,864 |
Constrained Physical Design Tuning |
2008 |
VLDB |
10 |
7.9087048e-05 |
| 2,888 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
18 |
7.8895201e-05 |
| 2,998 |
A Database Striptease or How to Manage Your Personal Databases |
2003 |
VLDB |
4 |
7.751849e-05 |
| 3,005 |
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service |
2015 |
VLDB |
16 |
7.7460817e-05 |
| 3,081 |
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters |
2020 |
VLDB |
22 |
7.6515625e-05 |
| 3,148 |
Data Warehousing and OLAP for Decision Support |
1997 |
SIGMOD |
4 |
7.5793138e-05 |
| 3,212 |
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models |
2020 |
VLDB |
24 |
7.5145409e-05 |
| 3,326 |
On the Complexity of Equivalence between Recursive and Nonrecursive Datalog Programs |
1994 |
PODS |
8 |
7.4103766e-05 |
| 3,361 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
8 |
7.3621595e-05 |
| 3,371 |
Conditional Selectivity for Statistics on Query Expressions |
2004 |
SIGMOD |
13 |
7.3493132e-05 |
| 3,406 |
Variance Aware Optimization of Parameterized Queries |
2010 |
SIGMOD |
18 |
7.3151509e-05 |
| 3,511 |
An Efficient Filter for Approximate Membership Checking |
2008 |
SIGMOD |
12 |
7.22602e-05 |
| 3,568 |
Learning String Transformations From Examples |
2009 |
VLDB |
8 |
7.1826118e-05 |
| 3,852 |
Database Tuning Advisor for Microsoft SQL Server 2005: Demo |
2005 |
SIGMOD |
9 |
6.9614927e-05 |
| 4,005 |
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search |
2021 |
VLDB |
11 |
6.8448428e-05 |
| 4,268 |
Primitives for Workload Summarization and Implications for SQL |
2003 |
VLDB |
7 |
6.6784565e-05 |
| 4,415 |
Bitvector-aware Query Optimization for Decision Support Queries |
2020 |
SIGMOD |
13 |
6.5965677e-05 |
| 4,444 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
12 |
6.5812416e-05 |
| 4,740 |
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples |
2023 |
VLDB |
9 |
6.429338e-05 |
| 4,756 |
Scalable Ad-hoc Entity Extraction from Text Collections |
2008 |
VLDB |
9 |
6.4210101e-05 |
| 4,830 |
Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers |
2014 |
VLDB |
4 |
6.3840861e-05 |
| 4,990 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
21 |
6.3120056e-05 |
| 4,994 |
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples |
2021 |
SIGMOD |
12 |
6.3099657e-05 |
| 5,044 |
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server |
2023 |
VLDB |
13 |
6.2888728e-05 |
| 5,062 |
Leveraging Query Logs and Machine Learning for Parametric Query Optimization |
2022 |
VLDB |
14 |
6.2791511e-05 |
| 5,101 |
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees |
2017 |
SIGMOD |
14 |
6.2623728e-05 |
| 5,132 |
Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches |
2018 |
VLDB |
5 |
6.2462533e-05 |
| 5,145 |
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel |
2014 |
VLDB |
9 |
6.2410756e-05 |
| 5,413 |
Flexible Resource Allocation for Relational Database-as-a-Service |
2023 |
VLDB |
8 |
6.1283496e-05 |
| 5,424 |
Mining Document Collections to Facilitate Accurate Approximate Entity Matching |
2009 |
VLDB |
6 |
6.1229914e-05 |
| 5,450 |
Materialized View and Index Selection Tool for Microsoft SQL Server 2000 |
2001 |
SIGMOD |
7 |
6.1103095e-05 |
| 5,469 |
High-Performance Row Pattern Recognition Using Joins |
2023 |
VLDB |
5 |
6.1022571e-05 |
| 5,490 |
A Pay-As-You-Go Framework for Query Execution Feedback |
2008 |
VLDB |
10 |
6.0970166e-05 |
| 5,645 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
16 |
6.0354456e-05 |
| 5,837 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
10 |
5.9600736e-05 |
| 5,974 |
Factorizing Complex Predicates in Queries to Exploit Indexes |
2003 |
SIGMOD |
5 |
5.9109943e-05 |
| 6,243 |
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics |
2016 |
SIGMOD |
4 |
5.8220831e-05 |
| 6,265 |
Foundations of Automated Database Tuning |
2006 |
VLDB |
5 |
5.8135505e-05 |
| 6,326 |
Cloud Databases: What's New? |
2010 |
VLDB |
1 |
5.7956103e-05 |
| 6,381 |
Avoiding Retrieval Contention for Composite Multimedia Objects |
1995 |
VLDB |
1 |
5.78729e-05 |
| 6,470 |
A Statistical Approach Towards Robust Progress Estimation |
2012 |
VLDB |
5 |
5.7564896e-05 |
| 6,768 |
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities |
2022 |
SIGMOD |
7 |
5.6693759e-05 |
| 6,843 |
Can Datalog be approximated? |
1994 |
PODS |
4 |
5.6508689e-05 |
| 6,844 |
Self-Managing Technology in Database Management Systems |
2004 |
VLDB |
4 |
5.6503768e-05 |
| 7,018 |
Integration of Data Mining and Relational Databases |
2000 |
VLDB |
4 |
5.6041712e-05 |
| 7,094 |
Plan Stitch: Harnessing the Best of Many Plans |
2018 |
VLDB |
10 |
5.5863735e-05 |
| 7,170 |
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel |
2018 |
SIGMOD |
9 |
5.5784388e-05 |
| 7,338 |
Interactive Demonstration of Probabilistic Predicates |
2018 |
SIGMOD |
1 |
5.5338268e-05 |
| 7,397 |
Stop-and-Restart Style Execution for Long Running Decision Support Queries |
2007 |
VLDB |
3 |
5.5190903e-05 |
| 7,408 |
Query Portals: Dynamically Generating Portals for Entity-Oriented Web Queries |
2010 |
SIGMOD |
1 |
5.5170813e-05 |
| 7,548 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
3 |
5.481283e-05 |
| 7,597 |
Interactive Plan Hints for Query Optimization |
2009 |
SIGMOD |
2 |
5.4718641e-05 |
| 7,802 |
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations |
2024 |
SIGMOD |
4 |
5.4336348e-05 |
| 7,893 |
Incorporating String Transformations in Record Matching |
2008 |
SIGMOD |
2 |
5.4156783e-05 |
| 7,900 |
Data Cleaning in Microsoft SQL Server 2005 |
2005 |
SIGMOD |
3 |
5.4139981e-05 |
| 7,921 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
12 |
5.4098206e-05 |
| 8,007 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
9 |
5.3916546e-05 |
| 8,078 |
Finding Nonrecursive Envelopes for Datalog Predicates |
1993 |
PODS |
2 |
5.377528e-05 |
| 8,210 |
On Relational Support for XML Publishing: Beyond Sorting and Tagging |
2003 |
SIGMOD |
3 |
5.3610079e-05 |
| 8,241 |
Customizable and Scalable Fuzzy Join for Big Data |
2019 |
VLDB |
3 |
5.3560963e-05 |
| 8,305 |
Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters |
2019 |
VLDB |
4 |
5.3427507e-05 |
| 8,341 |
A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service |
2013 |
SIGMOD |
2 |
5.3347036e-05 |
| 8,893 |
T-ReX: Optimizing Pattern Search on Time Series |
2023 |
SIGMOD |
2 |
5.241836e-05 |
| 9,008 |
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph |
2023 |
VLDB |
6 |
5.2245403e-05 |
| 9,117 |
Hyperspace: The Indexing Subsystem of Azure Synapse |
2021 |
VLDB |
1 |
5.208561e-05 |
| 9,263 |
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables |
2025 |
SIGMOD |
2 |
5.1860131e-05 |
| 9,447 |
Keyword Querying and Ranking in Databases |
2009 |
VLDB |
1 |
5.1620571e-05 |
| 9,754 |
Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! |
2026 |
CIDR |
3 |
5.115551e-05 |
| 9,829 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
7 |
5.1066866e-05 |
| 9,965 |
The Next 5 Years: What Opportunities Should the Database Community Seize to Maximize its Impact? |
2020 |
SIGMOD |
2 |
5.0910746e-05 |
| 9,983 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
6 |
5.0860177e-05 |
| 10,225 |
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics |
2021 |
VLDB |
2 |
5.0460607e-05 |
| 10,267 |
Foundations of Automated Database Tuning |
2005 |
SIGMOD |
1 |
5.0378933e-05 |
| 10,676 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
1 |
4.9605343e-05 |
| 10,794 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 10,923 |
Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 10,988 |
Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,041 |
Verified LLM-Based Query Rewriting for Microsoft SQL Server |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,288 |
Esc: An Early-Stopping Checker for Budget-aware Index Tuning |
2025 |
VLDB |
4 |
4.9605343e-05 |
| 11,718 |
Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets |
2024 |
VLDB |
0 |
4.9605343e-05 |
| 11,925 |
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication |
2022 |
VLDB |
0 |
4.9605343e-05 |
| 12,696 |
Database Access Control & Privacy: Is There A Common Ground? |
2011 |
CIDR |
0 |
4.9605343e-05 |
| 12,834 |
Privacy Preservation of Aggregates in Hidden Databases: Why and How? |
2009 |
SIGMOD |
3 |
4.9605343e-05 |
| 12,982 |
Online AutoAdmin (Physical Design Tuning) |
2007 |
SIGMOD |
0 |
4.9605343e-05 |
| 12,993 |
Bridging the Application and DBMS Profiling Divide for Database Application Developers |
2007 |
VLDB |
1 |
4.9605343e-05 |
| 13,210 |
Storage and Retrieval of XML Data Using Relational Databases |
2001 |
VLDB |
0 |
4.9605343e-05 |
| 13,437 |
Detecting Redundant Tuples During Query Evaluation |
1991 |
PODS |
1 |
4.9605343e-05 |
| 13,499 |
Temporal Relationships in Databases |
1988 |
VLDB |
0 |
4.9605343e-05 |
| 13,789 |
Cloud Data Systems: What are the Opportunities for the Database Research Community? |
2022 |
VLDB |
0 |
- |
| 13,863 |
International Workshop on Human-In-the-Loop Data Analytics (HILDA) |
2019 |
SIGMOD |
0 |
- |
| 14,053 |
New Frontiers in Business Intelligence |
2011 |
VLDB |
0 |
- |
| 14,092 |
Bridging the Application and DBMS Divide Using Static Analysis and Dynamic Profiling |
2009 |
SIGMOD |
0 |
- |
| 14,270 |
Where is Business Intelligence taking today’s Database Systems? |
2004 |
VLDB |
0 |
- |
| 14,500 |
Issues in Networked Data Management in the Next Millennium |
1999 |
VLDB |
0 |
- |
| 14,552 |
Query Optimization at the Crossroads |
1997 |
SIGMOD |
0 |
- |