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: h3abfb43096b0ec03
Venue: SIGMOD
Year: 2020
Pagerank: 7.9619979e-05
Overall Rank: 2,830 | 80.98%
DOI: 10.1145/3318464.3380575

Incoming Non-self Citations Over Time

Authors

1. Matthias Jasny (Technical University of Darmstadt)
2. Tobias Ziegler (Technical University of Darmstadt)
3. Tim Kraska (Massachusetts Institute of Technology)
4. Uwe Roehm (University of Sydney)
5. Carsten Binnig (Technical University of Darmstadt)

BibTeX Citation

@inproceedings{jasny_sigmod20,
        title = {{DB4ML – An In-Memory Database Kernel with Machine Learning Support}},
        author = {Jasny, Matthias and Ziegler, Tobias and Kraska, Tim and Roehm, Uwe and Binnig, Carsten},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3380575},
        url = {https://dl.acm.org/doi/10.1145/3318464.3380575},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,662	End-to-end Optimization of Machine Learning Prediction Queries	2022	SIGMOD	8.1596229e-05
3,240	Towards Demystifying Serverless Machine Learning Training	2021	SIGMOD	7.5002772e-05
4,095	Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches	2021	VLDB	6.8095767e-05
5,289	Tensor Relational Algebra for Distributed Machine Learning System Design	2021	VLDB	6.1940481e-05
5,685	SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments	2024	VLDB	6.037958e-05
5,997	BAGUA: Scaling up Distributed Learning with System Relaxations	2022	VLDB	5.9198921e-05
6,116	ConnectorX: Accelerating Data Loading From Databases to Dataframes	2022	VLDB	5.8815309e-05
6,458	In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle	2022	SIGMOD	5.7773842e-05
8,230	Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents	2025	SIGMOD	5.372368e-05
8,385	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database	2025	CIDR	5.3420959e-05
10,021	Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees	2021	VLDB	5.0943545e-05
10,608	MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference	2026	SIGMOD	4.9793485e-05
11,796	AQUA: Automatic Collaborative Query Processing in Analytical Database	2023	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
22	Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud	2012	VLDB	0.00055962491
105	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033638251
170	High-Performance Concurrency Control Mechanisms for Main-Memory Databases	2012	VLDB	0.0002705961
215	Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age	2014	SIGMOD	0.00024598661
228	Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems	2015	SIGMOD	0.00023920439
415	SystemML: Declarative Machine Learning on Spark	2016	VLDB	0.0001865959
503	Towards a Unified Architecture for in-RDBMS Analytics	2012	SIGMOD	0.00017202276
521	Learning Linear Regression Models over Factorized Joins	2016	SIGMOD	0.00016929744
1,256	Towards Linear Algebra over Normalized Data	2017	VLDB	0.00011314687
2,052	Efficient and Flexible Methods for Transient Versioning of Records to Avoid Locking by Read-Only Transactions	1992	SIGMOD	9.1199209e-05
2,975	In-Database Learning with Sparse Tensors	2018	PODS	7.7907759e-05
3,524	MLog: Towards Declarative In-Database Machine Learning	2017	VLDB	7.2337006e-05
4,372	Graph Analytics Through Fine-Grained Parallelism	2016	SIGMOD	6.6302732e-05
4,702	Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores	2017	VLDB	6.4630351e-05
9,175	ERIS Live: A NUMA-Aware In-Memory Storage Engine for Tera-Scale Multiprocessor Systems	2014	SIGMOD	5.2135249e-05

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1	415	SystemML: Declarative Machine Learning on Spark	2016	VLDB
2	5,272	InferDB: In-Database Machine Learning Inference Using Indexes	2024	VLDB
3	2,908	AI Meets Database: AI4DB and DB4AI	2021	SIGMOD
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