InferDB: In-Database Machine Learning Inference Using Indexes

Summary: Uses a discretizing embedding of selected features and an index mapping embedding cells to aggregated model outputs to approximate end-to-end ML inference inside the DB. Replaces preprocessing and model execution with a transform+lookup, cutting latency by orders of magnitude while retaining similar accuracy. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: h6437569345deb5e9
Venue: VLDB
Year: 2024
Pagerank: 6.1991633e-05
Overall Rank: 5,271 | 64.58%
DOI: 10.14778/3659437.3659441
PDF: Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

1. Ricardo Salazar-Díaz (Hasso Plattner Institute; University of Potsdam)
2. Boris Glavic (University of Illinois Chicago)
3. Tilmann Rabl (Hasso Plattner Institute; University of Potsdam)

BibTeX Citation

@article{salazardiaz_vldb24,
        title = {{InferDB: In-Database Machine Learning Inference Using Indexes}},
        author = {Salazar-Díaz, Ricardo and Glavic, Boris and Rabl, Tilmann},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {8},
        pages = {1830--1842},
        doi = {10.14778/3659437.3659441},
        url = {https://doi.org/10.14778/3659437.3659441},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,032	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database	2025	CIDR	5.4017794e-05
10,147	Does A Fish Need a Bicycle? The Case for On-Chip NPUs in DBMS	2026	CIDR	5.0691578e-05
10,457	Eliminating Redundant Feature Tests in Decision Tree and Random Forest Inference on SQL Predicates	2026	SIGMOD	4.9769913e-05
10,459	EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines	2026	SIGMOD	4.9769913e-05
10,509	ScaleDoc: Scaling LLM-based Predicates over Large Document Collections	2026	SIGMOD	4.9769913e-05
10,593	NeurStore: Efficient In-database Deep Learning Model Management System	2026	SIGMOD	4.9769913e-05
10,619	MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference	2026	SIGMOD	4.9769913e-05
10,632	Beluga: A CXL-Based Memory Architecture for Scalable and Efficient LLM KVCache Management	2026	SIGMOD	4.9769913e-05
10,885	ConRAD: Conformal Risk-Aware Neural Databases	2026	VLDB	4.9769913e-05

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
416	SystemML: Declarative Machine Learning on Spark	2016	VLDB	0.00018650998
503	Towards a Unified Architecture for in-RDBMS Analytics	2012	SIGMOD	0.00017195428
1,006	Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications	1998	SIGMOD	0.00012567476
2,266	An Intermediate Representation for Optimizing Machine Learning Pipelines	2019	VLDB	8.7248802e-05
2,661	End-to-end Optimization of Machine Learning Prediction Queries	2022	SIGMOD	8.1568473e-05
4,097	Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches	2021	VLDB	6.8064316e-05
4,852	Neighbor-Sensitive Hashing	2016	VLDB	6.3776281e-05
5,778	The Tensor Data Platform: Towards an AI-centric Database System	2023	CIDR	5.9953658e-05

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2	2,184	Extending Relational Query Processing with ML Inference	2020	CIDR
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