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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
4.5305127e-05
Overall Rank
8,365 | 41.87%
DOI
-

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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
101 The Case for Learned Index Structures 2018 SIGMOD 0.00049778866
134 The EXODUS Optimizer Generator 1987 SIGMOD 0.00043070028
329 Neo: A Learned Query Optimizer 2019 VLDB 0.00027301488
371 Self-Driving Database Management Systems 2017 CIDR 0.00025382677
634 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018844568
796 SageDB: A Learned Database System 2019 CIDR 0.00016541749
819 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00016237497
956 Serializable Snapshot Isolation in PostgreSQL 2012 VLDB 0.00015068342
2,337 PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers 2021 SIGMOD 9.0092781e-05
2,550 Updatable Learned Index with Precise Positions 2021 VLDB 8.5569576e-05
2,809 Extending Relational Query Processing with ML Inference 2020 CIDR 8.0869552e-05
3,122 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD 7.5284233e-05
3,157 ARM-Net: Adaptive Relation Modeling Network for Structured Data 2021 SIGMOD 7.4679349e-05
3,345 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 7.1908499e-05
3,409 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 7.1240791e-05
3,884 Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? 2015 SIGMOD 6.6622645e-05
4,151 openGauss: An Autonomous Database System 2021 VLDB 6.4020605e-05
4,615 Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud 2023 VLDB 6.0410647e-05
5,405 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 5.5243727e-05
5,528 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 5.4571136e-05
6,790 InferDB: In-Database Machine Learning Inference Using Indexes 2024 VLDB 4.9205968e-05
6,860 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 4.9008421e-05
6,883 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 4.8918682e-05
7,055 Serving Deep Learning Models with Deduplication from Relational Databases 2022 VLDB 4.8428976e-05
7,564 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 4.7049893e-05
7,622 Understanding the Performance Implications of the Design Principles in Storage-Disaggregated Databases 2024 SIGMOD 4.6891172e-05
8,100 Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction 2024 SIGMOD 4.5821762e-05
8,684 Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask 2024 VLDB 4.4626624e-05
8,706 nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems 2024 VLDB 4.4587004e-05
9,325 Powering In-Database Dynamic Model Slicing for Structured Data Analytics 2024 VLDB 4.351469e-05
9,841 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 4.2685233e-05
11,001 Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems 2024 VLDB 4.1905499e-05
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