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User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases

Summary: Introduces User-Defined Operators (UDOs) to tightly integrate custom algorithms into modern database query engines. Idiomatic code in common languages is plugged directly, avoiding data export, preserving ACID guarantees, and achieving performance competitive with specialized analytics tools. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hbbc1a05929572b5f
Venue
VLDB
Year
2022
Pagerank
7.1383149e-05
Overall Rank
3,645 | 75.51%
DOI
10.14778/3510397.3510408
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{sichert_vldb22,
        title = {{User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases}},
        author = {Sichert, Moritz and Neumann, Thomas},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {5},
        pages = {1119--1131},
        doi = {10.14778/3510397.3510408},
        url = {https://doi.org/10.14778/3510397.3510408},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
4,074 Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine 2024 SIGMOD 6.8175757e-05
6,301 Declarative Sub-Operators for Universal Data Processing 2023 VLDB 5.8167709e-05
6,747 Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine 2025 SIGMOD 5.6883491e-05
7,988 Efficient Execution of User-Defined Functions in SQL Queries 2023 VLDB 5.4105672e-05
9,483 Query Compilation Without Regrets 2024 SIGMOD 5.1686727e-05
9,700 The UDFBench Benchmark for General-purpose UDF Queries 2025 VLDB 5.1372261e-05
10,229 SQL Engines Excel at the Execution of Imperative Programs 2024 VLDB 5.054828e-05
10,832 Decisionhouse: Prescriptive Analytics in the Data Stack 2026 VLDB 4.9769913e-05
10,842 ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling 2026 VLDB 4.9769913e-05
10,893 FlowLog: Efficient and Extensible Datalog via Incrementality 2026 VLDB 4.9769913e-05
10,971 GraphAlg Playground: An Online Platform for Learning and Experimenting with the GraphAlg Language 2026 VLDB 4.9769913e-05
11,142 Scalable Execution of Application Logic within Everest BusinessStore 2025 SIGMOD 4.9769913e-05
11,462 IcedTea: Efficient and Responsive Time-Travel Debugging in Dataflow Systems 2025 VLDB 4.9769913e-05
11,608 Hardware-Efficient Data Imputation through DBMS Extensibility 2024 VLDB 4.9769913e-05
11,803 To UDFs and Beyond: Demonstration of a Fully Decomposed Data Processor for General Data Wrangling Tasks 2023 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

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

Rank Cited Paper Year Venue Pagerank
14 MonetDB/X100: Hyper-Pipelining Query Execution 2005 CIDR 0.00064013679
21 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.00056835296
71 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00037724477
105 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033633007
215 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00024589307
373 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00019705706
1,285 SQL/MapReduce: A practical approach to self-describing, polymorphic, and parallelizable user-defined functions 2009 VLDB 0.0001119616
1,445 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.00010628379
1,786 Procedural Extensions of SQL: Understanding their usage in the wild 2021 VLDB 9.6281276e-05
2,251 Evaluating End-to-End Optimization for Data Analytics Applications in Weld 2018 VLDB 8.750953e-05
2,707 Compiling PL/SQL Away 2020 CIDR 8.1073034e-05
3,195 One WITH RECURSIVE is Worth Many GOTOs 2021 SIGMOD 7.546228e-05
3,874 DBToaster: A SQL Compiler for High-Performance Delta Processing in Main-Memory Databases 2009 VLDB 6.9506516e-05
4,097 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.8064316e-05
7,388 Lachesis: Automatic Partitioning for UDF-Centric Analytics 2021 VLDB 5.5355684e-05
8,681 Adaptive Code Generation for Data-Intensive Analytics 2021 VLDB 5.288863e-05
9,296 ParaX: Boosting Deep Learning for Big Data Analytics on Many-Core CPUs 2021 VLDB 5.2000636e-05
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