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The MADlib Analytics Library or MAD Skills, the SQL

Summary: MADlib is an open-source, extensible library of parallel SQL-native machine-learning, data-mining, and statistical methods, bringing CRAN-like community analytics into database engines. It emphasizes in-database execution at scale, avoiding data movement and supporting research contributions across platforms. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10596
Venue
VLDB
Year
2012
Pagerank
0.00033539462
Overall Rank
106 | 99.28%
DOI
10.14778/2367502.2367519

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{hellerstein_vldb12,
        title = {{The MADlib Analytics Library or MAD Skills, the SQL}},
        author = {Hellerstein, Joseph M. and Ré, Christoper and Schoppmann, Florian and Wang, Daisy Zhe and Fratkin, Eugene and Gorajek, Aleksander and Ng, Kee Siong and Welton, Caleb and Feng, Xixuan and Li, Kun and Kumar, Arun},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1700--1711},
        doi = {10.14778/2367502.2367519},
        url = {https://doi.org/10.14778/2367502.2367519},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 106 citing papers.

Rank Citing Paper Year Venue Pagerank
321 Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems 2018 PODS 0.00021283186
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.0001888524
532 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00017072641
536 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.0001693369
640 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015409494
715 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00014655327
764 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014226652
1,150 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 0.00011943462
1,157 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00011924049
1,229 Weld: A Common Runtime for High Performance Data Analytics 2017 CIDR 0.00011578425
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
1,488 Towards Model-based Pricing for Machine Learning in a Data Marketplace 2019 SIGMOD 0.00010612416
1,756 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.8172465e-05
2,018 tf.data: A Machine Learning Data Processing Framework 2021 VLDB 9.3001937e-05
2,029 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 9.2843642e-05
2,050 Vizdom: Interactive Analytics through Pen and Touch 2015 VLDB 9.2546631e-05
2,059 LINVIEW: Incremental View Maintenance for Complex Analytical Queries 2014 SIGMOD 9.2471145e-05
2,162 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 9.0581831e-05
2,217 Cumulon: Optimizing Statistical Data Analysis in the Cloud 2013 SIGMOD 8.9332438e-05
2,266 On Functional Aggregate Queries with Additive Inequalities 2019 PODS 8.8391372e-05
2,293 Extending Relational Query Processing with ML Inference 2020 CIDR 8.7949378e-05
2,347 Vertica-ML: Distributed Machine Learning in Vertica Database 2020 SIGMOD 8.7157552e-05
2,584 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.3783546e-05
2,657 Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities 2021 SIGMOD 8.2887895e-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
2,809 Text2SQL is Not Enough: Unifying AI and Databases with TAG 2025 CIDR 8.0994951e-05
2,823 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.0893814e-05
2,850 HAWQ: A Massively Parallel Processing SQL Engine in Hadoop 2014 SIGMOD 8.0499212e-05
2,865 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 8.0180243e-05
2,888 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.9941489e-05
2,927 In-Database Learning with Sparse Tensors 2018 PODS 7.9531195e-05
2,949 GenBase: A Complex Analytics Genomics Benchmark 2014 SIGMOD 7.9281519e-05
2,990 Knowledge Expansion over Probabilistic Knowledge Bases 2014 SIGMOD 7.8883704e-05
3,206 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 7.6367549e-05
3,334 F: Regression Models over Factorized Views 2016 VLDB 7.5110164e-05
3,387 Data Profiling – A Tutorial 2017 SIGMOD 7.4534663e-05
3,459 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 7.3953716e-05
3,490 MLog: Towards Declarative In-Database Machine Learning 2017 VLDB 7.3667971e-05
3,543 A Comparison of Platforms for Implementing and Running Very Large Scale Machine Learning Algorithms 2014 SIGMOD 7.3268101e-05
3,614 Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML 2020 CIDR 7.2568185e-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
3,872 All-in-One: Graph Processing in RDBMSs Revisited 2017 SIGMOD 7.0580243e-05
3,945 Exploiting Correlations for Expensive Predicate Evaluation 2015 SIGMOD 7.0055154e-05
3,952 Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers 2013 SIGMOD 6.9967272e-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
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0012250108
44 A Comparison of Approaches to Large-Scale Data Analysis 2009 SIGMOD 0.00046055057
155 MAD Skills: New Analysis Practices for Big Data 2009 VLDB 0.00028713176
518 Towards a Unified Architecture for in-RDBMS Analytics 2012 SIGMOD 0.00017167492
2,002 SQLEM: Fast Clustering in SQL using the EM Algorithm 2000 SIGMOD 9.3312236e-05
4,055 Hybrid In-Database Inference for Declarative Information Extraction 2011 SIGMOD 6.9349546e-05
4,935 Querying Probabilistic Information Extraction 2010 VLDB 6.4357418e-05
Previous Page 1 / 1 Next

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