DBScholar

Back to papers

The Hopsworks Feature Store for Machine Learning

Summary: Hopsworks offers an available ML feature store with APIs for columnar, row-oriented, and similarity-search workloads. It enables feature reuse and cross-stage consistency, with fast queries outperforming cloud stores for training and inference. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6859
Venue
SIGMOD
Year
2024
Pagerank
5.2755515e-05
Overall Rank
9,385 | 35.62%
DOI
10.1145/3626246.3653389

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{martinez_sigmod24,
        title = {{The Hopsworks Feature Store for Machine Learning}},
        author = {Martínez, Javier de la Rúa and Buso, Fabio and Kouzoupis, Antonios and Ormenisan, Alexandru A. and Niazi, Salman and Bzhalava, Davit and Mak, Kenneth and Jouffrey, Victor and Ronström, Mikael and Cunningham, Raymond and Zangis, Ralfs and Mukhedkar, Dhananjay and Khazanchi, Ayushman and Vlassov, Vladimir and Dowling, Jim},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626246.3653389},
        url = {https://dl.acm.org/doi/10.1145/3626246.3653389},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,006 Magnus: A Holistic Approach to Data Management for Large-Scale Machine Learning Workloads 2025 VLDB 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers