| 57 |
On Random Sampling over Joins |
1999 |
SIGMOD |
90 |
0.00040095727 |
| 73 |
Including Group-By in Query Optimization |
1994 |
VLDB |
59 |
0.0003750677 |
| 88 |
Automated Selection of Materialized Views and Indexes for SQL Databases |
2000 |
VLDB |
129 |
0.00035340164 |
| 151 |
An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server |
1997 |
VLDB |
120 |
0.00028664776 |
| 161 |
Robust and Efficient Fuzzy Match for Online Data Cleaning |
2003 |
SIGMOD |
57 |
0.00027705594 |
| 272 |
An Overview of Query Optimization in Relational Systems |
1998 |
PODS |
78 |
0.0002251422 |
| 282 |
Accelerating Machine Learning Inference with Probabilistic Predicates |
2018 |
SIGMOD |
62 |
0.00022302793 |
| 295 |
Towards Estimation Error Guarantees for Distinct Values |
2000 |
PODS |
59 |
0.00021908194 |
| 307 |
Eliminating Fuzzy Duplicates in Data Warehouses |
2002 |
VLDB |
37 |
0.00021489374 |
| 310 |
Optimization of Real Conjunctive Queries |
1993 |
PODS |
41 |
0.00021364898 |
| 367 |
InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables |
2012 |
SIGMOD |
48 |
0.00019876273 |
| 371 |
STHoles: A Multidimensional Workload-Aware Histogram |
2001 |
SIGMOD |
72 |
0.00019822444 |
| 378 |
AutoAdmin "What-if" Index Analysis Utility |
1998 |
SIGMOD |
75 |
0.00019541534 |
| 454 |
Self-tuning Histograms: Building Histograms Without Looking at Data |
1999 |
SIGMOD |
57 |
0.00017955913 |
| 474 |
Automated Ranking of Database Query Results |
2003 |
CIDR |
30 |
0.00017665834 |
| 492 |
Database Tuning Advisor for Microsoft SQL Server 2005 |
2004 |
VLDB |
67 |
0.00017406029 |
| 518 |
Random Sampling for Histogram Construction: How much is enough? |
1998 |
SIGMOD |
41 |
0.00016938992 |
| 569 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
45 |
0.00016244162 |
| 604 |
Rethinking Database System Architecture: Towards a Self-tuning RISC-style Database System |
2000 |
VLDB |
29 |
0.00015664234 |
| 643 |
Evaluating Top-k Selection Queries |
1999 |
VLDB |
33 |
0.0001521012 |
| 644 |
Exploiting Statistics on Query Expressions for Optimization |
2002 |
SIGMOD |
38 |
0.00015209065 |
| 682 |
Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques |
2012 |
VLDB |
46 |
0.00014814858 |
| 686 |
Optimizing Queries over Multimedia Repositories |
1996 |
SIGMOD |
16 |
0.00014769852 |
| 689 |
Query Optimization in the Presence of Foreign Functions |
1993 |
VLDB |
19 |
0.00014746059 |
| 691 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
83 |
0.00014737455 |
| 751 |
Automatic Physical Database Tuning: A Relaxation-based Approach |
2005 |
SIGMOD |
48 |
0.00014251362 |
| 841 |
Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters |
2016 |
SIGMOD |
53 |
0.00013543 |
| 930 |
Dynamic Sample Selection for Approximate Query Processing |
2003 |
SIGMOD |
44 |
0.00013009255 |
| 956 |
Flexible Database Generators |
2005 |
VLDB |
23 |
0.0001286031 |
| 979 |
On the Equivalence of Recursive and Nonrecursive Datalog Programs |
1992 |
PODS |
15 |
0.00012723733 |
| 1,061 |
Approximate Query Processing: No Silver Bullet |
2017 |
SIGMOD |
44 |
0.00012208639 |
| 1,216 |
Overview of Data Exploration Techniques |
2015 |
SIGMOD |
30 |
0.00011487268 |
| 1,244 |
Compressing SQL Workloads |
2002 |
SIGMOD |
24 |
0.00011369155 |
| 1,273 |
Discovering Queries based on Example Tuples |
2014 |
SIGMOD |
25 |
0.00011243661 |
| 1,280 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
59 |
0.00011224914 |
| 1,338 |
SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service |
2013 |
CIDR |
32 |
0.00010974439 |
| 1,515 |
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems |
2021 |
VLDB |
52 |
0.00010418766 |
| 1,516 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
40 |
0.00010398346 |
| 1,581 |
Example-driven Design of Efficient Record Matching Queries |
2007 |
VLDB |
13 |
0.0001017553 |
| 1,588 |
Estimating Progress of Execution for SQL Queries |
2004 |
SIGMOD |
18 |
0.00010137374 |
| 1,739 |
Extending Autocompletion To Tolerate Errors |
2009 |
SIGMOD |
17 |
9.7448851e-05 |
| 1,826 |
Effective Use of Block-Level Sampling in Statistics Estimation |
2004 |
SIGMOD |
16 |
9.5535288e-05 |
| 1,887 |
Probabilistic Ranking of Database Query Results |
2004 |
VLDB |
18 |
9.4295364e-05 |
| 1,906 |
Microsoft Index Tuning Wizard for SQL Server 7.0 |
1998 |
SIGMOD |
8 |
9.3942435e-05 |
| 1,954 |
DBXplorer: Enabling Keyword Search over Relational Databases |
2002 |
SIGMOD |
9 |
9.3140242e-05 |
| 1,977 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
22 |
9.2760522e-05 |
| 2,003 |
Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee |
2016 |
SIGMOD |
29 |
9.2071735e-05 |
| 2,243 |
Automatic Categorization of Query Results |
2004 |
SIGMOD |
10 |
8.7643883e-05 |
| 2,284 |
Join Queries with External Text Sources: Execution and Optimization Techniques |
1995 |
SIGMOD |
10 |
8.6928064e-05 |
| 2,320 |
When Can We Trust Progress Estimators for SQL Queries? |
2005 |
SIGMOD |
13 |
8.6429103e-05 |
| 2,374 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
20 |
8.5570131e-05 |
| 2,397 |
Integrating DB and IR Technologies: What is the Sound of One Hand Clapping? * |
2005 |
CIDR |
14 |
8.5238625e-05 |
| 2,413 |
S4: Top-k Spreadsheet-Style Search for Query Discovery |
2015 |
SIGMOD |
15 |
8.5063082e-05 |
| 2,461 |
Leveraging Aggregate Constraints For Deduplication |
2007 |
SIGMOD |
8 |
8.4279724e-05 |
| 2,516 |
Optimization of Queries with User-defined Predicates |
1996 |
VLDB |
15 |
8.3572065e-05 |
| 2,577 |
ClusterJoin: A Similarity Joins Framework using Map-Reduce |
2014 |
VLDB |
21 |
8.2699584e-05 |
| 2,613 |
Auto-Join: Joining Tables by Leveraging Transformations |
2017 |
VLDB |
29 |
8.2229082e-05 |
| 2,654 |
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries |
2001 |
SIGMOD |
21 |
8.1670397e-05 |
| 2,744 |
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations |
2018 |
VLDB |
21 |
8.064168e-05 |
| 2,856 |
Constrained Physical Design Tuning |
2008 |
VLDB |
10 |
7.934373e-05 |
| 2,890 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
18 |
7.9010819e-05 |
| 2,986 |
A Database Striptease or How to Manage Your Personal Databases |
2003 |
VLDB |
4 |
7.7772018e-05 |
| 3,001 |
Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service |
2015 |
VLDB |
16 |
7.7640097e-05 |
| 3,075 |
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters |
2020 |
VLDB |
22 |
7.6742518e-05 |
| 3,138 |
Data Warehousing and OLAP for Decision Support |
1997 |
SIGMOD |
4 |
7.6042176e-05 |
| 3,208 |
Efficiently Approximating Selectivity Functions using Low Overhead Regression Models |
2020 |
VLDB |
24 |
7.5355264e-05 |
| 3,316 |
On the Complexity of Equivalence between Recursive and Nonrecursive Datalog Programs |
1994 |
PODS |
8 |
7.4342107e-05 |
| 3,361 |
Conditional Selectivity for Statistics on Query Expressions |
2004 |
SIGMOD |
13 |
7.3726415e-05 |
| 3,362 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
8 |
7.3719912e-05 |
| 3,396 |
Variance Aware Optimization of Parameterized Queries |
2010 |
SIGMOD |
18 |
7.3386533e-05 |
| 3,501 |
An Efficient Filter for Approximate Membership Checking |
2008 |
SIGMOD |
12 |
7.2497317e-05 |
| 3,555 |
Learning String Transformations From Examples |
2009 |
VLDB |
8 |
7.2056016e-05 |
| 3,845 |
Database Tuning Advisor for Microsoft SQL Server 2005: Demo |
2005 |
SIGMOD |
9 |
6.9838642e-05 |
| 4,235 |
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search |
2021 |
VLDB |
10 |
6.710043e-05 |
| 4,253 |
Primitives for Workload Summarization and Implications for SQL |
2003 |
VLDB |
7 |
6.6985405e-05 |
| 4,394 |
Bitvector-aware Query Optimization for Decision Support Queries |
2020 |
SIGMOD |
13 |
6.6182964e-05 |
| 4,426 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
12 |
6.601896e-05 |
| 4,737 |
Scalable Ad-hoc Entity Extraction from Text Collections |
2008 |
VLDB |
9 |
6.442156e-05 |
| 4,809 |
Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers |
2014 |
VLDB |
4 |
6.4051922e-05 |
| 4,970 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
21 |
6.3319052e-05 |
| 4,972 |
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples |
2021 |
SIGMOD |
12 |
6.3300201e-05 |
| 5,020 |
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server |
2023 |
VLDB |
13 |
6.3096708e-05 |
| 5,042 |
Leveraging Query Logs and Machine Learning for Parametric Query Optimization |
2022 |
VLDB |
14 |
6.2995365e-05 |
| 5,081 |
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees |
2017 |
SIGMOD |
14 |
6.2830143e-05 |
| 5,112 |
Efficient Estimation of Inclusion Coefficient using HyperLogLog Sketches |
2018 |
VLDB |
5 |
6.2668086e-05 |
| 5,138 |
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel |
2014 |
VLDB |
9 |
6.2561301e-05 |
| 5,168 |
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples |
2023 |
VLDB |
8 |
6.2432932e-05 |
| 5,396 |
Flexible Resource Allocation for Relational Database-as-a-Service |
2023 |
VLDB |
8 |
6.1482118e-05 |
| 5,408 |
Mining Document Collections to Facilitate Accurate Approximate Entity Matching |
2009 |
VLDB |
6 |
6.1429991e-05 |
| 5,434 |
Materialized View and Index Selection Tool for Microsoft SQL Server 2000 |
2001 |
SIGMOD |
7 |
6.1303275e-05 |
| 5,454 |
High-Performance Row Pattern Recognition Using Joins |
2023 |
VLDB |
5 |
6.1225019e-05 |
| 5,475 |
A Pay-As-You-Go Framework for Query Execution Feedback |
2008 |
VLDB |
10 |
6.115573e-05 |
| 5,632 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
16 |
6.0554368e-05 |
| 5,835 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
10 |
5.9737602e-05 |
| 5,960 |
Factorizing Complex Predicates in Queries to Exploit Indexes |
2003 |
SIGMOD |
5 |
5.9305837e-05 |
| 6,243 |
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics |
2016 |
SIGMOD |
4 |
5.8357659e-05 |
| 6,254 |
Foundations of Automated Database Tuning |
2006 |
VLDB |
5 |
5.8328094e-05 |
| 6,313 |
Cloud Databases: What's New? |
2010 |
VLDB |
1 |
5.814833e-05 |
| 6,371 |
Avoiding Retrieval Contention for Composite Multimedia Objects |
1995 |
VLDB |
1 |
5.8064898e-05 |
| 6,458 |
A Statistical Approach Towards Robust Progress Estimation |
2012 |
VLDB |
5 |
5.7755054e-05 |
| 6,758 |
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities |
2022 |
SIGMOD |
7 |
5.6877154e-05 |
| 6,826 |
Can Datalog be approximated? |
1994 |
PODS |
4 |
5.6695242e-05 |
| 6,827 |
Self-Managing Technology in Database Management Systems |
2004 |
VLDB |
4 |
5.6690802e-05 |
| 6,999 |
Integration of Data Mining and Relational Databases |
2000 |
VLDB |
4 |
5.6227023e-05 |
| 7,074 |
Plan Stitch: Harnessing the Best of Many Plans |
2018 |
VLDB |
10 |
5.604902e-05 |
| 7,150 |
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel |
2018 |
SIGMOD |
9 |
5.5963926e-05 |
| 7,320 |
Interactive Demonstration of Probabilistic Predicates |
2018 |
SIGMOD |
1 |
5.5521611e-05 |
| 7,378 |
Stop-and-Restart Style Execution for Long Running Decision Support Queries |
2007 |
VLDB |
3 |
5.537392e-05 |
| 7,391 |
Query Portals: Dynamically Generating Portals for Entity-Oriented Web Queries |
2010 |
SIGMOD |
1 |
5.5353838e-05 |
| 7,531 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
3 |
5.4994676e-05 |
| 7,582 |
Interactive Plan Hints for Query Optimization |
2009 |
SIGMOD |
2 |
5.4899973e-05 |
| 7,819 |
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations |
2024 |
SIGMOD |
4 |
5.4460313e-05 |
| 7,877 |
Incorporating String Transformations in Record Matching |
2008 |
SIGMOD |
2 |
5.4336352e-05 |
| 7,883 |
Data Cleaning in Microsoft SQL Server 2005 |
2005 |
SIGMOD |
3 |
5.4319595e-05 |
| 7,904 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
12 |
5.4277674e-05 |
| 8,061 |
Finding Nonrecursive Envelopes for Datalog Predicates |
1993 |
PODS |
2 |
5.3953684e-05 |
| 8,195 |
On Relational Support for XML Publishing: Beyond Sorting and Tagging |
2003 |
SIGMOD |
3 |
5.3787933e-05 |
| 8,226 |
Customizable and Scalable Fuzzy Join for Big Data |
2019 |
VLDB |
3 |
5.3736355e-05 |
| 8,280 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
8 |
5.3616863e-05 |
| 8,289 |
Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters |
2019 |
VLDB |
4 |
5.360349e-05 |
| 8,330 |
A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service |
2013 |
SIGMOD |
2 |
5.3519173e-05 |
| 8,875 |
T-ReX: Optimizing Pattern Search on Time Series |
2023 |
SIGMOD |
2 |
5.2592262e-05 |
| 8,989 |
Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph |
2023 |
VLDB |
6 |
5.2418732e-05 |
| 9,098 |
Hyperspace: The Indexing Subsystem of Azure Synapse |
2021 |
VLDB |
1 |
5.2258409e-05 |
| 9,239 |
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables |
2025 |
SIGMOD |
2 |
5.2032182e-05 |
| 9,422 |
Keyword Querying and Ranking in Databases |
2009 |
VLDB |
1 |
5.1791827e-05 |
| 9,796 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
7 |
5.1236285e-05 |
| 9,930 |
The Next 5 Years: What Opportunities Should the Database Community Seize to Maximize its Impact? |
2020 |
SIGMOD |
2 |
5.1079647e-05 |
| 9,950 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
6 |
5.102891e-05 |
| 10,192 |
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics |
2021 |
VLDB |
2 |
5.0628015e-05 |
| 10,237 |
Foundations of Automated Database Tuning |
2005 |
SIGMOD |
1 |
5.054607e-05 |
| 10,371 |
Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! |
2026 |
CIDR |
2 |
4.9769913e-05 |
| 10,615 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
1 |
4.9769913e-05 |
| 10,733 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 10,862 |
Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 10,927 |
Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 10,980 |
Verified LLM-Based Query Rewriting for Microsoft SQL Server |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 11,232 |
Esc: An Early-Stopping Checker for Budget-aware Index Tuning |
2025 |
VLDB |
4 |
4.9769913e-05 |
| 11,672 |
Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets |
2024 |
VLDB |
0 |
4.9769913e-05 |
| 11,881 |
PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication |
2022 |
VLDB |
0 |
4.9769913e-05 |
| 12,653 |
Database Access Control & Privacy: Is There A Common Ground? |
2011 |
CIDR |
0 |
4.9769913e-05 |
| 12,791 |
Privacy Preservation of Aggregates in Hidden Databases: Why and How? |
2009 |
SIGMOD |
3 |
4.9769913e-05 |
| 12,940 |
Online AutoAdmin (Physical Design Tuning) |
2007 |
SIGMOD |
0 |
4.9769913e-05 |
| 12,951 |
Bridging the Application and DBMS Profiling Divide for Database Application Developers |
2007 |
VLDB |
1 |
4.9769913e-05 |
| 13,169 |
Storage and Retrieval of XML Data Using Relational Databases |
2001 |
VLDB |
0 |
4.9769913e-05 |
| 13,396 |
Detecting Redundant Tuples During Query Evaluation |
1991 |
PODS |
1 |
4.9769913e-05 |
| 13,458 |
Temporal Relationships in Databases |
1988 |
VLDB |
0 |
4.9769913e-05 |
| 13,749 |
Cloud Data Systems: What are the Opportunities for the Database Research Community? |
2022 |
VLDB |
0 |
- |
| 13,823 |
International Workshop on Human-In-the-Loop Data Analytics (HILDA) |
2019 |
SIGMOD |
0 |
- |
| 14,013 |
New Frontiers in Business Intelligence |
2011 |
VLDB |
0 |
- |
| 14,052 |
Bridging the Application and DBMS Divide Using Static Analysis and Dynamic Profiling |
2009 |
SIGMOD |
0 |
- |
| 14,230 |
Where is Business Intelligence taking today’s Database Systems? |
2004 |
VLDB |
0 |
- |
| 14,460 |
Issues in Networked Data Management in the Next Millennium |
1999 |
VLDB |
0 |
- |
| 14,512 |
Query Optimization at the Crossroads |
1997 |
SIGMOD |
0 |
- |