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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)

Paper ID
556
Venue
CIDR
Year
2025
Pagerank
4.4673127e-05
Overall Rank
8,688 | 39.56%
DOI
-

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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.

Rank Cited Paper Year Venue Pagerank
102 The Case for Learned Index Structures 2018 SIGMOD 0.00049545203
132 The EXODUS Optimizer Generator 1987 SIGMOD 0.00042994082
333 Neo: A Learned Query Optimizer 2019 VLDB 0.00027206884
359 Self-Driving Database Management Systems 2017 CIDR 0.0002592783
640 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018759152
801 SageDB: A Learned Database System 2019 CIDR 0.00016505496
826 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00016224841
957 Serializable Snapshot Isolation in PostgreSQL 2012 VLDB 0.00015048214
2,358 PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers 2021 SIGMOD 8.9617346e-05
2,552 Updatable Learned Index with Precise Positions 2021 VLDB 8.5530411e-05
2,804 Extending Relational Query Processing with ML Inference 2020 CIDR 8.0935487e-05
3,099 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD 7.5642871e-05
3,148 ARM-Net: Adaptive Relation Modeling Network for Structured Data 2021 SIGMOD 7.4751269e-05
3,348 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 7.1904529e-05
3,407 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 7.1295646e-05
3,881 Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? 2015 SIGMOD 6.6691196e-05
4,152 openGauss: An Autonomous Database System 2021 VLDB 6.4060406e-05
4,616 Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud 2023 VLDB 6.045723e-05
5,401 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 5.5285035e-05
5,645 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 5.3923454e-05
6,796 InferDB: In-Database Machine Learning Inference Using Indexes 2024 VLDB 4.9241624e-05
6,879 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 4.8971368e-05
6,885 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 4.895386e-05
7,061 Serving Deep Learning Models with Deduplication from Relational Databases 2022 VLDB 4.8463881e-05
7,628 Understanding the Performance Implications of the Design Principles in Storage-Disaggregated Databases 2024 SIGMOD 4.692459e-05
7,828 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 4.6407986e-05
8,101 Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction 2024 SIGMOD 4.5854141e-05
8,698 Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask 2024 VLDB 4.4657846e-05
8,716 nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems 2024 VLDB 4.4618187e-05
9,320 Powering In-Database Dynamic Model Slicing for Structured Data Analytics 2024 VLDB 4.3556432e-05
9,852 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 4.2714575e-05
10,998 Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems 2024 VLDB 4.1945683e-05
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