Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems

Summary: Feature stores for ML pipelines expand from traditional tabular features toward embedding ecosystems. It pinpoints embedding-specific gaps—training data management, embedding quality assessment, and downstream monitoring—that standard feature stores don’t cover, and surveys candidate solutions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12522
Venue: VLDB
Year: 2021
Pagerank: 5.1470042e-05
Overall Rank: 6,228 | 56.68%
DOI: 10.14778/3476311.3476402

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,934	From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management	2022	VLDB	5.8198826e-05
5,567	Optimizing Data Pipelines for Machine Learning in Feature Stores	2023	VLDB	5.4305348e-05
8,182	SHiFT: An Efficient, Flexible Search Engine for Transfer Learning	2023	VLDB	4.5659133e-05
8,514	UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads	2022	VLDB	4.4944285e-05
9,364	FEBench: A Benchmark for Real-Time Relational Data Feature Extraction	2023	VLDB	4.3502487e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
254	Snorkel: Rapid Training Data Creation with Weak Supervision	2018	VLDB	0.00030540555
300	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028441466
1,463	ARDA: Automatic Relational Data Augmentation for Machine Learning	2020	VLDB	0.00011869295
4,196	Overton: A Data System for Monitoring and Improving Machine-Learned Products	2020	CIDR	6.3686231e-05
9,438	Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation	2021	CIDR	4.3425082e-05

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7,311	The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development	2020	SIGMOD	4.7656884e-05
11,313	Towards Observability for Machine Learning Pipelines	2022	CIDR	4.1945683e-05
1,532	Data Management in Machine Learning: Challenges, Techniques, and Systems	2017	SIGMOD	0.00011472681
2,456	Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities	2021	SIGMOD	8.7733773e-05
9,118	Towards Observability for Production Machine Learning Pipelines	2022	VLDB	4.3928288e-05
10,842	ML-Asset Management: Curation, Discovery, and Utilization	2025	VLDB	4.1945683e-05
1,420	Data Management Challenges in Production Machine Learning	2017	SIGMOD	0.00012057956
5,567	Optimizing Data Pipelines for Machine Learning in Feature Stores	2023	VLDB	5.4305348e-05
11,317	Data Management Opportunities for Foundation Models	2022	CIDR	4.1945683e-05
9,236	The Hopsworks Feature Store for Machine Learning	2024	SIGMOD	4.3690661e-05