DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems

Summary: DSB extends TPC-DS as a decision-support benchmark for workload-driven and traditional DBs. It adds complex data distributions, dynamic workloads, semantically rich query templates, and evaluation metrics; includes a case study and code at https://aka.ms/dsb. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12548
Venue: VLDB
Year: 2021
Pagerank: 7.8552033e-05
Overall Rank: 2,937 | 79.59%
DOI: 10.14778/3484224.3484234

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 41 of 41 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,465	LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency	2025	VLDB	7.0668293e-05
4,516	An Empirical Evaluation of Columnar Storage Formats	2024	VLDB	6.1146215e-05
5,289	LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning	2022	SIGMOD	5.5790771e-05
5,639	Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server	2023	VLDB	5.3972261e-05
6,364	ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning	2022	SIGMOD	5.0895007e-05
6,382	Sample-Efficient Cardinality Estimation Using Geometric Deep Learning	2024	VLDB	5.0835686e-05
6,753	Breaking It Down: An In-depth Study of Index Advisors	2024	VLDB	4.9345582e-05
7,030	R-Bot: An LLM-based Query Rewrite System	2025	VLDB	4.8518029e-05
7,122	Debunking the Myth of Join Ordering: Toward Robust SQL Analytics	2025	SIGMOD	4.8199209e-05
7,564	Modeling Shifting Workloads for Learned Database Systems	2024	SIGMOD	4.7049893e-05
7,854	dbET: Execution Time Distribution-based Plan Selection	2023	SIGMOD	4.6306186e-05
7,887	SQLStorm: Taking Database Benchmarking into the LLM Era	2025	VLDB	4.6218382e-05
8,003	The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions	2024	VLDB	4.6049527e-05
8,410	Pruning in Snowflake: Working Smarter, Not Harder	2025	SIGMOD	4.5154358e-05
8,440	PARQO: Penalty-Aware Robust Plan Selection in Query Optimization	2024	VLDB	4.505741e-05
8,479	Can Large Language Models Be Query Optimizer for Relational Databases?	2026	SIGMOD	4.4967983e-05
8,596	LST-Bench: Benchmarking Log-Structured Tables in the Cloud	2024	SIGMOD	4.4839589e-05
8,660	Learned Offline Query Planning via Bayesian Optimization	2025	SIGMOD	4.4680058e-05
8,777	Accelerate Distributed Joins with Predicate Transfer	2025	SIGMOD	4.4492064e-05
8,896	SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation	2026	VLDB	4.4229886e-05
9,012	Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems	2024	VLDB	4.4059413e-05
9,238	PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees	2025	SIGMOD	4.3648789e-05
9,374	MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores	2023	SIGMOD	4.3453721e-05
9,581	Low Rank Learning for Offline Query Optimization	2025	SIGMOD	4.3186744e-05
9,662	Efficient Query Re-optimization with Judicious Subquery Selections	2023	SIGMOD	4.3056334e-05
9,811	A Practical Theory of Generalization in Selectivity Learning	2025	VLDB	4.2742278e-05
9,824	Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement	2025	SIGMOD	4.2710095e-05
9,992	Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More!	2026	CIDR	4.1905499e-05
10,125	Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis]	2026	SIGMOD	4.1905499e-05
10,156	Divo: Learning a Stable and Effective Query Optimizer with a Diverse Workload	2026	SIGMOD	4.1905499e-05
10,203	Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization	2026	SIGMOD	4.1905499e-05
10,217	This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch!	2026	SIGMOD	4.1905499e-05
10,225	LIO: A lightweight and interpretable query optimizer based on an evolutionary forest	2026	VLDB	4.1905499e-05
10,227	Sample-based Distinct Cardinality Estimation for Multiple Attributes in Multi-Dataset Queries	2026	VLDB	4.1905499e-05
10,271	OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning	2026	VLDB	4.1905499e-05
10,282	Toward Drift-Aware Database Benchmarking	2026	VLDB	4.1905499e-05
10,627	Data-Agnostic Cardinality Learning from Imperfect Workloads	2025	VLDB	4.1905499e-05
10,635	Robust Plan Evaluation based on Approximate Probabilistic Machine Learning	2025	VLDB	4.1905499e-05
10,757	PAR2QO: Parametric Penalty-Aware Robust Query Optimization	2025	VLDB	4.1905499e-05
10,884	RankPQO: Learning-to-Rank for Parametric Query Optimization	2025	VLDB	4.1905499e-05
10,945	Sub-optimal Join Order Identification with L1-error	2024	SIGMOD	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
71	How Good Are Query Optimizers, Really?	2016	VLDB	0.00059446482
203	Learned Cardinalities: Estimating Correlated Joins with Deep Learning	2019	CIDR	0.00034868567
527	Self-tuning Histograms: Building Histograms Without Looking at Data	1999	SIGMOD	0.00020862475
627	Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors	2009	VLDB	0.00018959896
634	Bao: Making Learned Query Optimization Practical	2021	SIGMOD	0.00018844568
876	Plan-Structured Deep Neural Network Models for Query Performance Prediction	2019	VLDB	0.00015660534
905	NeuroCard: One Cardinality Estimator for All Tables	2021	VLDB	0.00015423174
1,856	AI Meets AI: Leveraging Query Executions to Improve Index Recommendations	2019	SIGMOD	0.00010319105
3,144	Active Learning for ML Enhanced Database Systems	2020	SIGMOD	7.4844943e-05
3,236	TPC-DS, Taking Decision Support Benchmarking to the Next Level	2002	SIGMOD	7.3294564e-05
3,661	Database Tuning Advisor for Microsoft SQL Server 2005: Demo	2005	SIGMOD	6.8680306e-05
3,955	Efficiently Approximating Selectivity Functions using Low Overhead Regression Models	2020	VLDB	6.5895015e-05
5,195	Bitvector-aware Query Optimization for Decision Support Queries	2020	SIGMOD	5.6314278e-05

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