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SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle

Summary: SystemDS is an open-source declarative ML system that unifies the end-to-end data science lifecycle—data integration, cleaning, preparation, local/distributed/federated training, debugging, and serving—via a stack of language abstractions. It targets lifecycle-wide optimization to eliminate boundary crossing between data engineering and modeling, building on SystemML lessons to support heterogeneous data and diverse user expertise. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
357
Venue
CIDR
Year
2020
Pagerank
9.8172465e-05
Overall Rank
1,756 | 87.96%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{boehm_cidr20,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '20},
        title = {{SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Boehm, Matthias and Antonov, Iulian and Baunsgaard, Sebastian and Dokter, Mark and Ginthör, Robert and Innerebner, Kevin and Klezin, Florijan and Lindstaedt, Stefanie and Phani, Arnab and Rath, Benjamin and Reinwald, Berthold and Siddiqi, Shafaq and Wrede, Sebastian Benjamin},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 30 of 30 citing papers.

Rank Citing Paper Year Venue Pagerank
1,937 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.4524758e-05
2,273 SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging 2021 SIGMOD 8.8230899e-05
2,823 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.0893814e-05
3,272 VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition 2021 VLDB 7.5775321e-05
4,240 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.809685e-05
6,538 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 5.8477764e-05
7,127 SubStrat: A Subset-Based Optimization Strategy for Faster AutoML 2023 VLDB 5.6957765e-05
7,160 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.6855887e-05
7,232 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 5.6659017e-05
7,395 Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines 2023 SIGMOD 5.6257796e-05
7,687 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.5671645e-05
8,350 FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation 2022 SIGMOD 5.4460082e-05
8,513 Galley: Modern Query Optimization for Sparse Tensor Programs 2025 SIGMOD 5.4119882e-05
8,606 PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement 2024 SIGMOD 5.4026249e-05
8,914 CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning 2024 SIGMOD 5.3483178e-05
9,290 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.2910774e-05
9,371 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 5.275595e-05
9,436 GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example 2023 SIGMOD 5.2692207e-05
9,834 EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution 2025 VLDB 5.2112879e-05
10,232 EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines 2026 SIGMOD 5.093636e-05
10,466 InferF: Declarative Factorization of AI/ML Inferences over Joins 2026 SIGMOD 5.093636e-05
10,514 Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation 2026 VLDB 5.093636e-05
10,589 Morphing-based Compression for Data-centric ML Pipelines 2026 VLDB 5.093636e-05
10,827 A Systematic Study on Early Stopping Metrics in HPO and the Implications of Uncertainty 2025 VLDB 5.093636e-05
10,836 Quantum Data Management in the NISQ Era 2025 VLDB 5.093636e-05
10,882 CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines 2025 VLDB 5.093636e-05
11,487 To UDFs and Beyond: Demonstration of a Fully Decomposed Data Processor for General Data Wrangling Tasks 2023 VLDB 5.093636e-05
11,537 Redundancy Elimination in Distributed Matrix Computation 2022 SIGMOD 5.093636e-05
11,600 ReMac: A Matrix Computation System with Redundancy Elimination 2022 VLDB 5.093636e-05
11,674 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 38 of 38 cited papers.

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

Rank Cited Paper Year Venue Pagerank
94 Potter's Wheel: An Interactive Data Cleaning System 2001 VLDB 0.00034616103
106 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033539462
112 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00032801121
155 MAD Skills: New Analysis Practices for Big Data 2009 VLDB 0.00028713176
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.0001888524
518 Towards a Unified Architecture for in-RDBMS Analytics 2012 SIGMOD 0.00017167492
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
762 Model Management 2.0: Manipulating Richer Mappings 2007 SIGMOD 0.00014231163
858 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.0001356511
946 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013054126
1,004 Democratizing Data Science through Interactive Curation of ML Pipelines 2019 SIGMOD 0.00012701932
1,070 NoDB: Efficient Query Execution on Raw Data Files 2012 SIGMOD 0.0001232307
1,079 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012258469
1,229 Weld: A Common Runtime for High Performance Data Analytics 2017 CIDR 0.00011578425
1,350 Automating Large-Scale Data Quality Verification 2018 VLDB 0.00011065626
1,392 Northstar: An Interactive Data Science System 2018 VLDB 0.00010936065
1,569 HELIX: Holistic Optimization for Accelerating Iterative Machine Learning 2019 VLDB 0.00010335423
1,644 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 0.00010132912
1,670 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 0.00010045615
1,866 Predictive Interaction for Data Transformation 2015 CIDR 9.5914583e-05
2,151 An Architecture for Recycling Intermediates in a Column-store 2009 SIGMOD 9.0784444e-05
2,208 Query Optimization for Dynamic Imputation 2017 VLDB 8.9512455e-05
2,223 Sato: Contextual Semantic Type Detection in Tables 2020 VLDB 8.9189986e-05
2,239 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.8875753e-05
2,414 Filter Before You Parse: Faster Analytics on Raw Data with Sparser 2018 VLDB 8.6078841e-05
2,847 AIDA - Abstraction for Advanced In-Database Analytics 2018 VLDB 8.0583142e-05
3,205 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 7.6386536e-05
3,206 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 7.6367549e-05
3,494 WANalytics: Analytics for a Geo-Distributed Data-Intensive World 2015 CIDR 7.3642231e-05
3,638 Fast Queries Over Heterogeneous Data Through Engine Customization 2016 VLDB 7.2338361e-05
4,049 Resource Elasticity for Large-Scale Machine Learning 2015 SIGMOD 6.9369379e-05
4,100 Data Integration and Machine Learning: A Natural Synergy 2018 SIGMOD 6.9016092e-05
4,409 MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions 2019 SIGMOD 6.7178579e-05
4,897 GLADE: Big Data Analytics Made Easy 2012 SIGMOD 6.4546134e-05
8,237 Meta-Dataflows: Efficient Exploratory Dataflow Jobs 2018 SIGMOD 5.4601966e-05
9,675 BlockJoin: Efficient Matrix Partitioning Through Joins 2017 VLDB 5.2380072e-05
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