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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
0.00017202276
Overall Rank
503 | 96.62%
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 0.00033638251
271 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00022560564
315 Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems 2018 PODS 0.00021246
432 Shark: SQL and Rich Analytics at Scale 2013 SIGMOD 0.00018339357
521 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016929744
537 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00016768109
730 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014406936
1,152 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00011801961
1,255 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011325762
1,256 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00011314687
1,668 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.9371612e-05
1,833 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.5405247e-05
2,460 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.4348335e-05
2,662 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 8.1596229e-05
2,663 A Layered Aggregate Engine for Analytics Workloads 2019 SIGMOD 8.1581558e-05
2,778 AIDA - Abstraction for Advanced In-Database Analytics 2018 VLDB 8.0299506e-05
2,830 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD 7.9619979e-05
2,975 In-Database Learning with Sparse Tensors 2018 PODS 7.7907759e-05
3,039 Knowledge Expansion over Probabilistic Knowledge Bases 2014 SIGMOD 7.7262528e-05
3,112 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 7.6357579e-05
3,167 HELIX: Accelerating Human-in-the-loop Machine Learning 2018 VLDB 7.5728577e-05
3,194 One WITH RECURSIVE is Worth Many GOTOs 2021 SIGMOD 7.5498012e-05
3,330 SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning 2017 CIDR 7.4173693e-05
3,670 Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? 2018 VLDB 7.1108704e-05
3,711 Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics 2017 SIGMOD 7.0783969e-05
3,737 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 7.0628666e-05
4,095 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.8095767e-05
4,161 The Relational Data Borg is Learning 2020 VLDB 6.7700593e-05
4,278 QuickFOIL: Scalable Inductive Logic Programming 2015 VLDB 6.6905317e-05
4,300 Efficient and Portable Einstein Summation in SQL 2023 SIGMOD 6.6785834e-05
4,302 The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox 2015 CIDR 6.6778695e-05
4,901 Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models 2017 VLDB 6.3647386e-05
5,272 InferDB: In-Database Machine Learning Inference Using Indexes 2024 VLDB 6.2010954e-05
6,144 The BUDS Language for Distributed Bayesian Machine Learning 2017 SIGMOD 5.8717563e-05
6,246 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.8370793e-05
6,458 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.7773842e-05
6,550 JoinBoost: Grow Trees Over Normalized Data Using Only SQL 2023 VLDB 5.7503043e-05
6,559 DeepBase: Deep Inspection of Neural Networks 2019 SIGMOD 5.7489089e-05
6,592 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.7421684e-05
6,878 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.657878e-05
7,142 A Cost-based Optimizer for Gradient Descent Optimization 2017 SIGMOD 5.600563e-05
9,144 Cerebro: A Layered Data Platform for Scalable Deep Learning 2021 CIDR 5.2201471e-05
9,556 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 5.1572248e-05
9,828 Transforming ML Predictive Pipelines into SQL with MASQ 2021 SIGMOD 5.1249969e-05
10,181 In-Database Data Imputation 2024 SIGMOD 5.0653015e-05
10,342 Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates 2022 VLDB 5.0167904e-05
10,582 NeurStore: Efficient In-database Deep Learning Model Management System 2026 SIGMOD 4.9793485e-05
10,926 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 4.9793485e-05
12,260 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 4.9793485e-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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