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VectorH: Taking SQL-on-Hadoop to the Next Level

Summary: VectorH extends SQL-on-Hadoop by layering Vectorwise on HDFS for fault-tolerant storage with read-locality via replication policy. PDT-based trickle updates enable update-averse tables; YARN-enabled MPP with Spark yields substantial gains over Hive/Impala. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5201
Venue
SIGMOD
Year
2016
Pagerank
5.1348427e-05
Overall Rank
6,264 | 56.43%
DOI
10.1145/2882903.2903742

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,792 Hybrid Transactional/Analytical Processing: A Survey 2017 SIGMOD 0.00010537893
3,443 Distributed Join Algorithms on Thousands of Cores 2017 VLDB 7.0887214e-05
7,907 Petabyte-Scale Row-Level Operations in Data Lakehouses 2024 VLDB 4.6205839e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

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

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