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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
he6b9821033d23d51
Venue
SIGMOD
Year
2012
Pagerank
0.00017158546
Overall Rank
506 | 96.61%
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 49 of 49 citing papers.

Rank Citing Paper Year Venue Pagerank
105 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033605348
273 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00022518449
318 Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems 2018 PODS 0.00021178303
436 Shark: SQL and Rich Analytics at Scale 2013 SIGMOD 0.00018274105
522 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016893112
538 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00016725463
731 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014363943
1,154 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00011762688
1,200 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00011524945
1,226 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011432354
1,616 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 0.00010048776
1,844 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.5112726e-05
2,464 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.4081954e-05
2,672 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 8.1301225e-05
2,673 A Layered Aggregate Engine for Analytics Workloads 2019 SIGMOD 8.1276375e-05
2,783 AIDA - Abstraction for Advanced In-Database Analytics 2018 VLDB 8.0027405e-05
2,834 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD 7.9442734e-05
2,974 In-Database Learning with Sparse Tensors 2018 PODS 7.7812156e-05
3,042 Knowledge Expansion over Probabilistic Knowledge Bases 2014 SIGMOD 7.7063913e-05
3,122 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 7.6091671e-05
3,179 HELIX: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.5444132e-05
3,190 One WITH RECURSIVE is Worth Many GOTOs 2021 SIGMOD 7.5364422e-05
3,331 SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning 2017 CIDR 7.4065701e-05
3,674 Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? 2018 VLDB 7.090133e-05
3,721 Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics 2017 SIGMOD 7.0516515e-05
3,746 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 7.0369561e-05
3,929 Efficient and Portable Einstein Summation in SQL 2023 SIGMOD 6.9013754e-05
4,117 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.784003e-05
4,174 The Relational Data Borg is Learning 2020 VLDB 6.750725e-05
4,295 QuickFOIL: Scalable Inductive Logic Programming 2015 VLDB 6.6653098e-05
4,316 The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox 2015 CIDR 6.6542348e-05
4,927 Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models 2017 VLDB 6.3408733e-05
5,291 InferDB: In-Database Machine Learning Inference Using Indexes 2024 VLDB 6.178665e-05
6,159 The BUDS Language for Distributed Bayesian Machine Learning 2017 SIGMOD 5.851731e-05
6,259 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.815406e-05
6,474 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.7555547e-05
6,562 JoinBoost: Grow Trees Over Normalized Data Using Only SQL 2023 VLDB 5.7287508e-05
6,573 DeepBase: Deep Inspection of Neural Networks 2019 SIGMOD 5.7271875e-05
6,603 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.7204739e-05
6,902 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.6365602e-05
7,168 A Cost-based Optimizer for Gradient Descent Optimization 2017 SIGMOD 5.5794432e-05
9,175 Cerebro: A Layered Data Platform for Scalable Deep Learning 2021 CIDR 5.2004231e-05
9,589 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 5.1377385e-05
9,868 Transforming ML Predictive Pipelines into SQL with MASQ 2021 SIGMOD 5.1056602e-05
10,218 In-Database Data Imputation 2024 SIGMOD 5.0461625e-05
10,376 Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates 2022 VLDB 4.9979062e-05
10,655 NeurStore: Efficient In-database Deep Learning Model Management System 2026 SIGMOD 4.9605343e-05
10,996 Benchmarking Native In-Database TPCx-AI at 100 Terabytes in Ocient Hyperscale Data Warehouse: An Eight-Use-Case Study of Classical and Statistical ML on Relational Primitives 2026 VLDB 4.9605343e-05
12,309 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 4.9605343e-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.

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