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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
4596
Venue
SIGMOD
Year
2012
Pagerank
0.00017167492
Overall Rank
518 | 96.45%
DOI
10.1145/2213836.2213874

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{feng_sigmod12,
        title = {{Towards a Unified Architecture for in-RDBMS Analytics}},
        author = {Feng, Xixuan and Kumar, Arun and Recht, Benjamin and Re9, Christopher},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213874},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213874},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 48 of 48 citing papers.

Rank Citing Paper Year Venue Pagerank
106 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033539462
284 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00022370521
321 Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems 2018 PODS 0.00021283186
425 Shark: SQL and Rich Analytics at Scale 2013 SIGMOD 0.00018704491
532 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00017072641
536 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.0001693369
715 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014655327
1,157 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00011924049
1,235 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00011548457
1,250 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011485301
1,756 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.8172465e-05
1,792 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.7436856e-05
2,769 A Layered Aggregate Engine for Analytics Workloads 2019 SIGMOD 8.1465406e-05
2,786 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD 8.1207221e-05
2,823 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.0893814e-05
2,847 AIDA - Abstraction for Advanced In-Database Analytics 2018 VLDB 8.0583142e-05
2,865 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 8.0180243e-05
2,927 In-Database Learning with Sparse Tensors 2018 PODS 7.9531195e-05
2,990 Knowledge Expansion over Probabilistic Knowledge Bases 2014 SIGMOD 7.8883704e-05
3,146 HELIX: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.7091591e-05
3,206 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 7.6367549e-05
3,257 One WITH RECURSIVE is Worth Many GOTOs 2021 SIGMOD 7.590651e-05
3,284 SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning 2017 CIDR 7.5663058e-05
3,681 Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? 2018 VLDB 7.2037388e-05
3,682 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 7.2035518e-05
4,067 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.9293511e-05
4,128 The Relational Data Borg is Learning 2020 VLDB 6.8850804e-05
4,185 Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics 2017 SIGMOD 6.8462927e-05
4,190 QuickFOIL: Scalable Inductive Logic Programming 2015 VLDB 6.8431849e-05
4,214 The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox 2015 CIDR 6.8276099e-05
4,253 Efficient and Portable Einstein Summation in SQL 2023 SIGMOD 6.8029311e-05
4,799 Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models 2017 VLDB 6.5024714e-05
5,456 InferDB: In-Database Machine Learning Inference Using Indexes 2024 VLDB 6.2131252e-05
6,030 The BUDS Language for Distributed Bayesian Machine Learning 2017 SIGMOD 6.0009079e-05
6,143 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.9622615e-05
6,339 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.907165e-05
6,427 DeepBase: Deep Inspection of Neural Networks 2019 SIGMOD 5.8808145e-05
6,485 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.8657457e-05
6,585 JoinBoost: Grow Trees Over Normalized Data Using Only SQL 2023 VLDB 5.8350362e-05
7,000 A Cost-based Optimizer for Gradient Descent Optimization 2017 SIGMOD 5.7287645e-05
7,160 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.6855887e-05
8,979 Cerebro: A Layered Data Platform for Scalable Deep Learning 2021 CIDR 5.3399615e-05
9,371 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 5.275595e-05
9,649 Transforming ML Predictive Pipelines into SQL with MASQ 2021 SIGMOD 5.2430158e-05
9,993 In-Database Data Imputation 2024 SIGMOD 5.1815618e-05
10,114 Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates 2022 VLDB 5.1319012e-05
10,386 NeurStore: Efficient In-database Deep Learning Model Management System 2026 SIGMOD 5.093636e-05
11,962 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 5.093636e-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
155 MAD Skills: New Analysis Practices for Big Data 2009 VLDB 0.00028713176
238 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.0002369322
408 MauveDB: Supporting Model-based User Views in Database Systems 2006 SIGMOD 0.00019008806
680 Creating Probabilistic Databases from Information Extraction Models 2006 VLDB 0.0001504854
820 BayesStore: Managing Large, Uncertain Data Repositories with Probabilistic Graphical Models 2008 VLDB 0.00013814535
1,986 Scalable Probabilistic Databases with Factor Graphs and MCMC 2010 VLDB 9.3519536e-05
2,460 Exploiting Shared Correlations in Probabilistic Databases 2008 VLDB 8.5505905e-05
4,512 SVM in Oracle Database 10g: Removing the Barriers to Widespread Adoption of Support Vector Machines 2005 VLDB 6.6512296e-05
4,935 Querying Probabilistic Information Extraction 2010 VLDB 6.4357418e-05
Previous Page 1 / 1 Next

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