NeurDB: On the Design and Implementation of an AI-powered Autonomous Database
Summary: NeurDB is an AI-powered autonomous database that embeds end-to-end AI workflows inside the engine to enable efficient in‑database analytics and learned components. Novelty: fast‑adaptive learned components and an in‑DB AI ecosystem that handles data and workload drift, yielding substantial empirical gains. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhanhao Zhao
- 2. Shaofeng Cai
- 3. Haotian Gao
- 4. Hexiang Pan
- 5. Siqi Xiang
- 6. Naili Xing
- 7. Gang Chen
- 8. Beng Chin Ooi
- 9. Yanyan Shen
- 10. Yuncheng Wu
- 11. Meihui Zhang
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,325 | Powering In-Database Dynamic Model Slicing for Structured Data Analytics | 2024 | VLDB | 4.351469e-05 |
| 9,982 | Does A Fish Need a Bicycle? The Case for On-Chip NPUs in DBMS | 2026 | CIDR | 4.1905499e-05 |
| 10,095 | NeurStore: Efficient In-database Deep Learning Model Management System | 2026 | SIGMOD | 4.1905499e-05 |
| 10,130 | MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference | 2026 | SIGMOD | 4.1905499e-05 |
| 10,221 | NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions | 2026 | VLDB | 4.1905499e-05 |
| 10,282 | Toward Drift-Aware Database Benchmarking | 2026 | VLDB | 4.1905499e-05 |
| 10,481 | Approximating Opaque Top-k Queries | 2025 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 32 of 32 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,645 | Database Workload Characterization with Query Plan Encoders | 2022 | VLDB | 5.3928148e-05 |
| 4,587 | MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems | 2021 | SIGMOD | 6.0594195e-05 |
| 371 | Self-Driving Database Management Systems | 2017 | CIDR | 0.00025382677 |
| 5,669 | Databases Unbound: Querying All of the World's Bytes with AI | 2024 | VLDB | 5.3805024e-05 |
| 606 | DeepDB: Learn from Data, not from Queries! | 2020 | VLDB | 0.00019251186 |
| 4,216 | Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation | 2021 | VLDB | 6.3448176e-05 |
| 3,466 | AI Meets Database: AI4DB and DB4AI | 2021 | SIGMOD | 7.0645718e-05 |
| 10,095 | NeurStore: Efficient In-database Deep Learning Model Management System | 2026 | SIGMOD | 4.1905499e-05 |
| 2,025 | From Natural Language Processing to Neural Databases | 2021 | VLDB | 9.7477788e-05 |
| 8,706 | nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems | 2024 | VLDB | 4.4587004e-05 |