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)
Incoming Non-self Citations Over Time
Authors
- 1. Tim Kraska (Google; Massachusetts Institute of Technology)
- 2. Mohammad Alizadeh (Massachusetts Institute of Technology)
- 3. Alex Beutel (Google)
- 4. Ed H. Chi (Google)
- 5. Jialin Ding (Massachusetts Institute of Technology)
- 6. Ani Kristo (Brown University)
- 7. Guillaume Leclerc (Massachusetts Institute of Technology)
- 8. Samuel Madden (Massachusetts Institute of Technology)
- 9. Hongzi Mao (Massachusetts Institute of Technology)
- 10. Vikram Nathan (Massachusetts Institute of Technology)
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 11 of 61 citing papers.
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.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,995 | Database Learning: Toward a Database that Becomes Smarter Every Time | 2017 | SIGMOD |
| 2 | 5,340 | Machine Learning for Databases | 2021 | VLDB |
| 3 | 10,696 | OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML | 2025 | SIGMOD |
| 4 | 5,329 | SeeDB: Visualizing Database Queries Efficiently | 2014 | VLDB |
| 5 | 5,978 | From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems | 2019 | SIGMOD |
| 6 | 9,016 | DBSeer: Pain-free Database Administration through Workload Intelligence | 2015 | VLDB |
| 7 | 10,003 | Adaptive Schema Databases | 2017 | CIDR |
| 8 | 4,053 | Database-Agnostic Workload Management | 2019 | CIDR |
| 9 | 323 | DeepDB: Learn from Data, not from Queries! | 2020 | VLDB |
| 10 | 8,323 | SageDB: An Instance-Optimized Data Analytics System | 2022 | VLDB |