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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
hd947d0e66838447b
Venue
CIDR
Year
2019
Pagerank
0.00016506678
Overall Rank
555 | 96.28%
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 63 citing papers.

Rank Citing Paper Year Venue Pagerank
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
362 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019989474
430 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018409112
437 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00018315867
463 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017804544
868 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013354403
1,156 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011777105
1,446 LISA: A Learned Index Structure for Spatial Data 2020 SIGMOD 0.00010629222
1,580 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010180835
1,857 Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases 2020 VLDB 9.4929201e-05
1,878 Effectively Learning Spatial Indices 2020 VLDB 9.4451309e-05
1,889 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.4273689e-05
2,478 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 8.4079121e-05
2,765 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 8.0439015e-05
2,834 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 7.9560627e-05
2,908 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.8742664e-05
3,146 White-box Compression: Learning and Exploiting Compact Table Representations 2020 CIDR 7.5963816e-05
3,271 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 7.4744941e-05
3,479 Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine 2022 VLDB 7.2695068e-05
3,562 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 7.2046519e-05
3,563 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.2042148e-05
3,671 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 7.1100217e-05
3,682 openGauss: An Autonomous Database System 2021 VLDB 7.1013922e-05
3,703 Stable Learned Bloom Filters for Data Streams 2020 VLDB 7.0842566e-05
3,714 The Case for a Learned Sorting Algorithm 2020 SIGMOD 7.0769061e-05
3,803 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0127652e-05
3,949 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 6.9052796e-05
4,137 The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product 2021 VLDB 6.7861661e-05
4,375 DILI: A Distribution-Driven Learned Index 2023 VLDB 6.6292167e-05
4,388 Self-Tuning Query Scheduling for Analytical Workloads 2021 SIGMOD 6.6228033e-05
4,616 The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures 2022 SIGMOD 6.5000712e-05
4,721 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 6.4541703e-05
4,781 Learned Approximate Query Processing: Make it Light, Accurate and Fast 2021 CIDR 6.4162085e-05
5,126 Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach 2020 SIGMOD 6.261175e-05
5,194 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.2353557e-05
5,854 Pando: Enhanced Data Skipping with Logical Data Partitioning 2023 VLDB 5.9708829e-05
5,929 Self-Organizing Data Containers 2022 CIDR 5.9439349e-05
5,974 Towards instance-optimized data systems 2021 VLDB 5.9305575e-05
6,080 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 5.8924903e-05
6,245 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.837329e-05
6,719 Replicated Layout for In-Memory Database Systems 2022 VLDB 5.6985717e-05
7,166 Learning to Sample: Counting with Complex Queries 2020 VLDB 5.5949741e-05
7,236 RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems 2025 VLDB 5.5790509e-05
7,322 LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval 2023 VLDB 5.5533524e-05
7,363 PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! 2021 VLDB 5.5418564e-05
7,474 PgCuckoo: Laying Plan Eggs in PostgreSQL's Nest 2019 SIGMOD 5.5168895e-05
7,598 SageDB: An Instance-Optimized Data Analytics System 2022 VLDB 5.4871733e-05
7,864 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.4367919e-05
7,915 Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems 2022 SIGMOD 5.4276987e-05
8,200 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 5.3787447e-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 0.0023947656
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010679641
12 C-Store: A Column-oriented DBMS 2005 VLDB 0.00068998927
20 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.00057568153
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036684414
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
123 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00030762995
151 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028672526
195 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00025628849
243 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023358891
322 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021041865
343 Model-Driven Data Acquisition in Sensor Networks 2004 VLDB 0.00020519525
1,605 The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models 2018 SIGMOD 0.00010093796
1,842 On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems 2012 VLDB 9.526552e-05
2,027 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 9.1618139e-05
4,862 iTuned: A Tool for Configuring and Visualizing Database Parameters 2010 SIGMOD 6.3786959e-05
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