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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
9.8570722e-05
Overall Rank
1,691 | 88.64%
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
1,568 HELIX: Holistic Optimization for Accelerating Iterative Machine Learning 2019 VLDB 0.0001021302
1,668 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.9371612e-05
3,250 How Large Language Models Will Disrupt Data Management 2023 VLDB 7.4938546e-05
4,334 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.6569314e-05
5,252 Dagger: A Data (not code) Debugger 2020 CIDR 6.2087063e-05
5,792 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.99349e-05
6,143 Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse 2018 VLDB 5.8721471e-05
6,217 Materialization and Reuse Optimizations for Production Data Science Pipelines 2022 SIGMOD 5.8474357e-05
6,236 Optimizing In-memory Database Engine for AI-powered On-line Decision Augmentation Using Persistent Memory 2021 VLDB 5.8409336e-05
6,323 Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines 2021 CIDR 5.8138422e-05
6,559 DeepBase: Deep Inspection of Neural Networks 2019 SIGMOD 5.7489089e-05
6,652 Hindsight Logging for Model Training 2021 VLDB 5.7202005e-05
6,844 Serving Deep Learning Models with Deduplication from Relational Databases 2022 VLDB 5.6664512e-05
7,100 DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation 2022 VLDB 5.601767e-05
7,212 Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science 2021 VLDB 5.5840773e-05
7,809 Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets 2022 SIGMOD 5.4490255e-05
7,839 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.4432099e-05
8,480 Deep Learning: Systems and Responsibility 2021 SIGMOD 5.333141e-05
9,071 Privacy and Accuracy-Aware AI/ML Model Deduplication 2025 SIGMOD 5.2283159e-05
9,417 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 5.1803615e-05
9,675 Debugging Large-Scale Data Science Pipelines using Dagger 2020 VLDB 5.1438113e-05
9,700 Experimental Analysis of Large-scale Learnable Vector Storage Compression 2024 VLDB 5.1381949e-05
9,996 Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle 2025 CIDR 5.0979044e-05
10,279 ElasticNotebook: Enabling Live Migration for Computational Notebooks 2024 VLDB 5.0455234e-05
10,722 CAPS: Cost-Aware ML Pipeline Selection 2026 VLDB 4.9793485e-05
11,556 MetaStore: Analyzing Deep Learning Meta-Data at Scale 2024 VLDB 4.9793485e-05
11,821 Towards Observability for Machine Learning Pipelines 2022 CIDR 4.9793485e-05
13,815 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 0.00068998927
84 ULDBs: Databases with Uncertainty and Lineage 2006 VLDB 0.00035963861
672 The TileDB Array Data Storage Manager 2017 VLDB 0.0001489638
1,355 Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff 2015 VLDB 0.0001092646
1,502 VisTrails: Visualization meets Data Management 2006 SIGMOD 0.00010456416
1,564 Titian: Data Provenance Support in Spark 2016 VLDB 0.00010222394
1,614 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 0.00010071891
1,992 OrpheusDB: Bolt-on Versioning for Relational Databases 2017 VLDB 9.2366883e-05
2,280 Decibel: The Relational Dataset Branching System 2016 VLDB 8.7038926e-05
3,436 Collaborative Data Analytics with DataHub 2015 VLDB 7.3007741e-05
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