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Towards a Unified Architecture for in-RDBMS Analytics

Summary: Unified in-RDBMS analytics architecture to reduce per-technique implementation. Examines data order and single-node parallelization; demonstrates analytics integration into two commercial and one open-source RDBMS with minimal code changes and performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4534
Venue
SIGMOD
Year
2012
Pagerank
0.00018506577
Overall Rank
658 | 95.43%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 46 of 46 citing papers.

Rank Citing Paper Year Venue Pagerank
140 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042270404
316 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00027988668
542 Shark: SQL and Rich Analytics at Scale 2013 SIGMOD 0.00020595648
543 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00020526854
683 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00018195476
834 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016135159
1,167 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00013547713
1,279 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00012868394
1,532 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011472681
2,122 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.4989076e-05
2,126 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.4887794e-05
2,934 AIDA - Abstraction for Advanced In-Database Analytics 2018 VLDB 7.8595778e-05
3,023 Helix: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.6929986e-05
3,081 Knowledge Expansion over Probabilistic Knowledge Bases 2014 SIGMOD 7.6031501e-05
3,099 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD 7.5642871e-05
3,254 Query Processing on Tensor Computation Runtimes 2022 VLDB 7.3161051e-05
3,277 A Layered Aggregate Engine for Analytics Workloads 2019 SIGMOD 7.2871625e-05
3,345 QuickFOIL: Scalable Inductive Logic Programming 2015 VLDB 7.1958815e-05
3,407 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 7.1295646e-05
3,638 Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics 2017 SIGMOD 6.8952488e-05
3,648 One WITH RECURSIVE is Worth Many GOTOs 2021 SIGMOD 6.8831123e-05
4,033 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 6.5113267e-05
4,129 Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? 2018 VLDB 6.428887e-05
4,197 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 6.367895e-05
4,395 Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models 2017 VLDB 6.2244283e-05
4,505 SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning 2017 CIDR 6.1327108e-05
4,548 Efficient and Portable Einstein Summation in SQL 2023 SIGMOD 6.0953447e-05
4,557 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.087611e-05
4,576 The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox 2015 CIDR 6.0721464e-05
4,787 The Relational Data Borg is Learning 2020 VLDB 5.9224501e-05
5,084 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.7091191e-05
6,322 The BUDS Language for Distributed Bayesian Machine Learning 2017 SIGMOD 5.1124615e-05
6,373 DeepBase: Deep Inspection of Neural Networks 2019 SIGMOD 5.0929326e-05
6,404 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.0786954e-05
6,538 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.023239e-05
6,796 InferDB: In-Database Machine Learning Inference Using Indexes 2024 VLDB 4.9241624e-05
6,986 A Cost-based Optimizer for Gradient Descent Optimization 2017 SIGMOD 4.8727048e-05
7,306 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 4.7678574e-05
7,920 JoinBoost: Grow Trees Over Normalized Data Using Only SQL 2023 VLDB 4.6163888e-05
8,864 Cerebro: A Layered Data Platform for Scalable Deep Learning 2021 CIDR 4.4326439e-05
9,222 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 4.3698672e-05
9,436 Transforming ML Predictive Pipelines into SQL with MASQ 2021 SIGMOD 4.3430376e-05
9,856 In-Database Data Imputation 2024 SIGMOD 4.269353e-05
9,966 Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates 2022 VLDB 4.2269436e-05
10,095 NeurStore: Efficient In-database Deep Learning Model Management System 2026 SIGMOD 4.1945683e-05
11,756 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 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
168 MAD Skills: New Analysis Practices for Big Data 2009 VLDB 0.00038946305
321 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.00027527389
469 MauveDB: Supporting Model-based User Views in Database Systems 2006 SIGMOD 0.00022406923
760 Creating Probabilistic Databases from Information Extraction Models 2006 VLDB 0.00017053935
980 BayesStore: Managing Large, Uncertain Data Repositories with Probabilistic Graphical Models 2008 VLDB 0.00014879747
2,186 Scalable Probabilistic Databases with Factor Graphs and MCMC 2010 VLDB 9.3378109e-05
2,656 Exploiting Shared Correlations in Probabilistic Databases 2008 VLDB 8.3620622e-05
4,606 SVM in Oracle Database 10g: Removing the Barriers to Widespread Adoption of Support Vector Machines 2005 VLDB 6.0539473e-05
4,983 Querying Probabilistic Information Extraction 2010 VLDB 5.7870787e-05
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