Database Paper Browser

Back to papers

Tuplex: Robust, Efficient Analytics When Python Rules

Summary: Tuplex: Python-native data preparation framework, enabling fast development and deployment of Python pipelines without Spark impedance. Compiles Python workloads to near bare-metal speeds for robust, efficient analytics on heterogeneous Python data tasks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11911
Venue
VLDB
Year
2019
Pagerank
4.2939577e-05
Overall Rank
9,718 | 32.46%
DOI
10.14778/3352063.3352109

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
9,348 The Key to Effective UDF Optimization: Before Inlining, First Perform Outlining 2025 VLDB 4.3504473e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
59 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.0006445664
66 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00061707583
1,875 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.00010243959
2,825 Mison: A Fast JSON Parser for Data Analytics 2017 VLDB 8.0575959e-05
Previous Page 1 / 1 Next

Semantically Similar Papers