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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
12623
Venue
VLDB
Year
2022
Pagerank
5.822682e-05
Overall Rank
4,924 | 65.75%
DOI
10.14778/3510397.3510408

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Showing 12 of 12 citing papers.

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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
35 MonetDB/X100: Hyper-Pipelining Query Execution 2005 CIDR 0.00076197749
60 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.00064439773
140 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042270404
185 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00036538405
418 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00023729211
735 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00017452467
1,355 SQL/MapReduce: A practical approach to self-describing, polymorphic, and parallelizable user-defined functions 2009 VLDB 0.00012404572
1,873 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.00010253002
2,237 Procedural Extensions of SQL: Understanding their usage in the wild 2021 VLDB 9.2212748e-05
2,896 Evaluating End-to-End Optimization for Data Analytics Applications in Weld 2018 VLDB 7.9452051e-05
3,080 Compiling PL/SQL Away 2020 CIDR 7.603389e-05
3,648 One WITH RECURSIVE is Worth Many GOTOs 2021 SIGMOD 6.8831123e-05
4,410 DBToaster: A SQL Compiler for High-Performance Delta Processing in Main-Memory Databases 2009 VLDB 6.2091068e-05
4,557 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.087611e-05
7,476 Lachesis: Automatic Partitioning for UDF-Centric Analytics 2021 VLDB 4.7188928e-05
8,626 Adaptive Code Generation for Data-Intensive Analytics 2021 VLDB 4.4829152e-05
9,075 ParaX: Boosting Deep Learning for Big Data Analytics on Many-Core CPUs 2021 VLDB 4.4020349e-05
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