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DB4ML – An In-Memory Database Kernel with Machine Learning Support

Summary: DB4ML is an in-memory DB kernel enabling in-DBMS execution of user-defined ML algorithms via iterative transactions, avoiding data copies for regulatory compliance. It delivers near specialized ML engine efficiency while remaining extensible, unlike external tools that export data and hard-code algorithms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5788
Venue
SIGMOD
Year
2020
Pagerank
7.5642871e-05
Overall Rank
3,099 | 78.45%
DOI
10.1145/3318464.3380575

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank Citing Paper Year Venue Pagerank
2,791 Towards Demystifying Serverless Machine Learning Training 2021 SIGMOD 8.1206618e-05
3,407 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 7.1295646e-05
4,557 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.087611e-05
5,084 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.7091191e-05
5,720 BAGUA: Scaling up Distributed Learning with System Relaxations 2022 VLDB 5.3527734e-05
5,821 Tensor Relational Algebra for Distributed Machine Learning System Design 2021 VLDB 5.3134851e-05
6,380 SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments 2024 VLDB 5.0893219e-05
6,541 ConnectorX: Accelerating Data Loading From Databases to Dataframes 2022 VLDB 5.0216945e-05
8,688 NeurDB: On the Design and Implementation of an AI-powered Autonomous Database 2025 CIDR 4.4673127e-05
9,476 Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents 2025 SIGMOD 4.3341665e-05
9,706 Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees 2021 VLDB 4.2992942e-05
10,130 MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference 2026 SIGMOD 4.1945683e-05
11,287 AQUA: Automatic Collaborative Query Processing in Analytical Database 2023 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
37 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.0007522744
140 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042270404
289 High-Performance Concurrency Control Mechanisms for Main-Memory Databases 2012 VLDB 0.00028938503
418 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00023729211
419 Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems 2015 SIGMOD 0.00023720338
557 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00020197988
658 Towards a Unified Architecture for in-RDBMS Analytics 2012 SIGMOD 0.00018506577
834 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016135159
1,279 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00012868394
2,378 Efficient and Flexible Methods for Transient Versioning of Records to Avoid Locking by Read-Only Transactions 1992 SIGMOD 8.9397925e-05
3,958 MLog: Towards Declarative In-Database Machine Learning 2017 VLDB 6.5897636e-05
4,845 Graph Analytics Through Fine-Grained Parallelism 2016 SIGMOD 5.8795333e-05
5,109 Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores 2017 VLDB 5.6908086e-05
8,708 ERIS Live: A NUMA-Aware In-Memory Storage Engine for Tera-Scale Multiprocessor Systems 2014 SIGMOD 4.4639016e-05
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6,775 A Unified Transferable Model for ML-Enhanced DBMS 2022 CIDR 4.9299192e-05
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