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SageDB: A Learned Database System

Summary: SageDB replaces general-purpose DBMS internals with application-specialized, learned models that jointly capture data distribution, workload, and hardware to synthesize optimal access methods and query plans. These models are embedded via code synthesis into core components for end-to-end specialization. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
318
Venue
CIDR
Year
2019
Pagerank
0.0001641553
Overall Rank
568 | 96.11%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kraska_cidr19,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '19},
        title = {{SageDB: A Learned Database System}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Kraska, Tim and Alizadeh, Mohammad and Beutel, Alex and Chi, Ed H. and Ding, Jialin and Kristo, Ani and Leclerc, Guillaume and Madden, Samuel and Mao, Hongzi and Nathan, Vikram},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 61 citing papers.

Rank Citing Paper Year Venue Pagerank
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
378 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019638121
447 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018322593
477 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017851226
498 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00017440583
873 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013481915
1,170 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011827259
1,418 LISA: A Learned Index Structure for Spatial Data 2020 SIGMOD 0.00010835539
1,573 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010328171
1,840 Effectively Learning Spatial Indices 2020 VLDB 9.6404567e-05
1,942 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.4451535e-05
1,949 Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases 2020 VLDB 9.430385e-05
2,499 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 8.4993549e-05
2,822 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 8.0898536e-05
2,888 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.9941489e-05
3,035 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 7.8297746e-05
3,213 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 7.6328677e-05
3,336 White-box Compression: Learning and Exploiting Compact Table Representations 2020 CIDR 7.5084986e-05
3,545 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 7.3249967e-05
3,577 Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine 2022 VLDB 7.2930211e-05
3,662 openGauss: An Autonomous Database System 2021 VLDB 7.2166682e-05
3,729 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.1683974e-05
3,802 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 7.1115502e-05
3,809 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.1074195e-05
3,865 The Case for a Learned Sorting Algorithm 2020 SIGMOD 7.0621718e-05
3,998 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 6.9676473e-05
4,073 Stable Learned Bloom Filters for Data Streams 2020 VLDB 6.9242783e-05
4,300 DILI: A Distribution-Driven Learned Index 2023 VLDB 6.773869e-05
4,493 Self-Tuning Query Scheduling for Analytical Workloads 2021 SIGMOD 6.6647555e-05
4,516 The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures 2022 SIGMOD 6.6489359e-05
4,603 The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product 2021 VLDB 6.6105578e-05
4,660 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 6.5797541e-05
4,789 Learned Approximate Query Processing: Make it Light, Accurate and Fast 2021 CIDR 6.5072039e-05
5,011 Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach 2020 SIGMOD 6.4020848e-05
5,073 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.3751266e-05
5,974 Towards instance-optimized data systems 2021 VLDB 6.0230488e-05
5,978 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 6.0212877e-05
6,042 Pando: Enhanced Data Skipping with Logical Data Partitioning 2023 VLDB 5.9970052e-05
6,076 Self-Organizing Data Containers 2022 CIDR 5.9852895e-05
6,121 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.9688569e-05
6,670 Replicated Layout for In-Memory Database Systems 2022 VLDB 5.8074043e-05
7,048 Learning to Sample: Counting with Complex Queries 2020 VLDB 5.7178054e-05
7,254 LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval 2023 VLDB 5.6625991e-05
7,441 PgCuckoo: Laying Plan Eggs in PostgreSQL's Nest 2019 SIGMOD 5.6173637e-05
7,755 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.5519655e-05
7,785 Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems 2022 SIGMOD 5.5450355e-05
7,825 RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems 2025 VLDB 5.5367884e-05
8,039 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 5.5021992e-05
8,040 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 5.5018396e-05
8,175 SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft 2021 VLDB 5.4737932e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0024089429
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010828372
12 C-Store: A Column-oriented DBMS 2005 VLDB 0.00069513174
21 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.00056760516
43 The Case for Learned Index Structures 2018 SIGMOD 0.00046060254
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035316107
126 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00030779127
156 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028636811
199 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00025612088
246 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023457421
337 Model-Driven Data Acquisition in Sensor Networks 2004 VLDB 0.00020783399
347 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00020651582
1,616 The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models 2018 SIGMOD 0.00010213691
1,831 On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems 2012 VLDB 9.6635729e-05
1,995 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 9.3403665e-05
4,788 iTuned: A Tool for Configuring and Visualizing Database Parameters 2010 SIGMOD 6.5079219e-05
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