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MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis

Summary: MISTIQUE stores and queries model intermediates for ML diagnosis, spanning traditional pipelines and deep nets. It chooses re-run vs. reuse per query and uses quantization, summarization, dedup to cut storage up to 110× and speed queries up to 390× (ML) / 210× (DL). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hb6a63d0e426896a1
Venue
SIGMOD
Year
2018
Pagerank
9.8230859e-05
Overall Rank
1,699 | 88.62%
DOI
10.1145/3183713.3196934

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{vartak_sigmod18,
        title = {{MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis}},
        author = {Vartak, Manasi and da Trindade, Joana M. F. and Madden, Samuel and Zaharia, Matei},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3196934},
        url = {https://dl.acm.org/doi/10.1145/3183713.3196934},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 28 of 28 citing papers.

Rank Citing Paper Year Venue Pagerank
1,567 HELIX: Holistic Optimization for Accelerating Iterative Machine Learning 2019 VLDB 0.00010179013
1,616 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 0.00010048776
3,223 How Large Language Models Will Disrupt Data Management 2023 VLDB 7.5043163e-05
4,354 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.6318545e-05
5,277 Dagger: A Data (not code) Debugger 2020 CIDR 6.1853307e-05
5,808 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.9708628e-05
6,164 Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse 2018 VLDB 5.8508462e-05
6,234 Materialization and Reuse Optimizations for Production Data Science Pipelines 2022 SIGMOD 5.825343e-05
6,249 Optimizing In-memory Database Engine for AI-powered On-line Decision Augmentation Using Persistent Memory 2021 VLDB 5.8190376e-05
6,338 Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines 2021 CIDR 5.7918978e-05
6,573 DeepBase: Deep Inspection of Neural Networks 2019 SIGMOD 5.7271875e-05
6,667 Hindsight Logging for Model Training 2021 VLDB 5.6985871e-05
6,861 Serving Deep Learning Models with Deduplication from Relational Databases 2022 VLDB 5.6460409e-05
7,125 DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation 2022 VLDB 5.580601e-05
7,235 Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science 2021 VLDB 5.5629781e-05
7,833 Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets 2022 SIGMOD 5.4285082e-05
7,860 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.422643e-05
8,502 Deep Learning: Systems and Responsibility 2021 SIGMOD 5.3130138e-05
9,101 Privacy and Accuracy-Aware AI/ML Model Deduplication 2025 SIGMOD 5.208561e-05
9,454 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 5.1607878e-05
9,711 Debugging Large-Scale Data Science Pipelines using Dagger 2020 VLDB 5.1244582e-05
9,737 Experimental Analysis of Large-scale Learnable Vector Storage Compression 2024 VLDB 5.1187805e-05
10,037 Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle 2025 CIDR 5.0786422e-05
10,312 ElasticNotebook: Enabling Live Migration for Computational Notebooks 2024 VLDB 5.0264591e-05
10,793 CAPS: Cost-Aware ML Pipeline Selection 2026 VLDB 4.9605343e-05
11,611 MetaStore: Analyzing Deep Learning Meta-Data at Scale 2024 VLDB 4.9605343e-05
11,871 Towards Observability for Machine Learning Pipelines 2022 CIDR 4.9605343e-05
13,860 DEEM 2019: Workshop on Data Management for End-to-End Machine Learning 2019 SIGMOD -
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank Cited Paper Year Venue Pagerank
12 C-Store: A Column-oriented DBMS 2005 VLDB 0.00068985264
85 ULDBs: Databases with Uncertainty and Lineage 2006 VLDB 0.00035848027
675 The TileDB Array Data Storage Manager 2017 VLDB 0.00014843089
1,362 Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff 2015 VLDB 0.0001088824
1,506 VisTrails: Visualization meets Data Management 2006 SIGMOD 0.00010423054
1,562 Titian: Data Provenance Support in Spark 2016 VLDB 0.00010192248
1,615 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 0.00010054378
2,001 OrpheusDB: Bolt-on Versioning for Relational Databases 2017 VLDB 9.2020796e-05
2,296 Decibel: The Relational Dataset Branching System 2016 VLDB 8.6729094e-05
3,447 Collaborative Data Analytics with DataHub 2015 VLDB 7.2748826e-05
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