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Vertica-ML: Distributed Machine Learning in Vertica Database

Summary: Vertica-ML is a distributed ML subsystem embedded in the Vertica database, exposing a SQL-based data science workflow and model management. Models are first-class objects (like tables/views) for versioning and governance; the paper details architecture and performance experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5897
Venue
SIGMOD
Year
2020
Pagerank
8.3851878e-05
Overall Rank
2,642 | 81.63%
DOI
10.1145/3318464.3386137

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank Citing Paper Year Venue Pagerank
2,791 Towards Demystifying Serverless Machine Learning Training 2021 SIGMOD 8.1206618e-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
5,333 Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce 2021 SIGMOD 5.5656575e-05
5,720 BAGUA: Scaling up Distributed Learning with System Relaxations 2022 VLDB 5.3527734e-05
6,378 Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine 2025 SIGMOD 5.0909804e-05
6,380 SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments 2024 VLDB 5.0893219e-05
9,476 Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents 2025 SIGMOD 4.3341665e-05
10,095 NeurStore: Efficient In-database Deep Learning Model Management System 2026 SIGMOD 4.1945683e-05
10,122 TranSQL+: Serving Large Language Models with SQL on Low-Resource Hardware 2026 SIGMOD 4.1945683e-05
10,976 StarfishDB: a Query Execution Engine for Relational Probabilistic Programming 2024 SIGMOD 4.1945683e-05
10,998 Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems 2024 VLDB 4.1945683e-05
11,219 F3 KM: Federated, Fair, and Fast k-means 2023 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 9 of 9 cited papers.

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

Rank Cited Paper Year Venue Pagerank
21 C-Store: A Column-oriented DBMS 2005 VLDB 0.00086087497
140 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042270404
310 The Vertica Analytic Database: C-Store 7 Years Later 2012 VLDB 0.00028132402
333 Neo: A Learned Query Optimizer 2019 VLDB 0.00027206884
2,093 Scalable K-Means++ 2012 VLDB 9.5588104e-05
2,630 PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce 2009 VLDB 8.4128091e-05
3,875 Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML 2020 CIDR 6.675257e-05
3,881 Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? 2015 SIGMOD 6.6691196e-05
7,032 Building the Enterprise Fabric for Big Data with Vertica and Spark Integration 2016 SIGMOD 4.8559744e-05
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