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PolyFrame: A Retargetable Query-based Approach to Scaling Dataframes

Summary: Retargets AFrame from AsterixDB to a backend-agnostic, query-based layer for scalable DataFrame analytics. Introduces PolyFrame, preserving Pandas API while incrementally shaping queries for diverse composable languages across DBMS backends. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12407
Venue
VLDB
Year
2021
Pagerank
5.9320139e-05
Overall Rank
4,773 | 66.80%
DOI
10.14778/3476249.3476281

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Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
66 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00061639801
1,427 Towards Scalable Dataframe Systems 2020 VLDB 0.0001204248
1,438 AsterixDB: A Scalable, Open Source BDMS 2014 VLDB 0.00011973592
2,954 Magpie: Python at Speed and Scale using Cloud Backends 2021 CIDR 7.8262582e-05
3,535 Scaling Spark in the Real World: Performance and Usability 2015 VLDB 6.9992495e-05
4,813 Putting Pandas in a Box 2021 CIDR 5.9049746e-05
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