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: hcd6c7a3d1654ca9c
Venue: SIGMOD
Year: 2016
Pagerank: 5.9840356e-05
Overall Rank: 5,817 | 60.90%
DOI: 10.1145/2882903.2903742

Incoming Non-self Citations Over Time

Authors

1. Andrei Costea (Actian)
2. Adrian Ionescu (Actian)
3. Bogdan Rǎducanu (Actian)
4. Michał Świtakowski (Actian)
5. Cristian Bârcă (Actian)
6. Juliusz Sompolski (Actian)
7. Alicja Łuszczak (Actian)
8. Michał Szafrański (Actian)
9. Giel de Nijs (Actian)
10. Peter Boncz (Centrum Wiskunde & Informatica)

BibTeX Citation

@inproceedings{costea_sigmod16,
        title = {{VectorH: Taking SQL-on-Hadoop to the Next Level}},
        author = {Costea, Andrei and Ionescu, Adrian and Rǎducanu, Bogdan and Świtakowski, Michał and Bârcă, Cristian and Sompolski, Juliusz and Łuszczak, Alicja and Szafrański, Michał and de Nijs, Giel and Boncz, Peter},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2903742},
        url = {https://dl.acm.org/doi/10.1145/2882903.2903742},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,321	Hybrid Transactional/Analytical Processing: A Survey	2017	SIGMOD	0.00011040617
2,802	Distributed Join Algorithms on Thousands of Cores	2017	VLDB	7.9903139e-05
6,920	Petabyte-Scale Row-Level Operations in Data Lakehouses	2024	VLDB	5.6441822e-05
10,911	Hermes at Scale: Powering Distributed Queries with a Unified Memory Fabric	2026	VLDB	4.9793485e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
14	MonetDB/X100: Hyper-Pipelining Query Execution	2005	CIDR	0.00064031282
21	Efficiently Compiling Efficient Query Plans for Modern Hardware	2011	VLDB	0.00056855599
23	Spark SQL: Relational Data Processing in Spark	2015	SIGMOD	0.00055406774
48	Weaving Relations for Cache Performance	2001	VLDB	0.00043805923
49	Dremel: Interactive Analysis of Web-Scale Datasets	2010	VLDB	0.00043160717
93	Encapsulation of Parallelism in the Volcano Query Processing System	1990	SIGMOD	0.00034622929
163	DB2 with BLU Acceleration: So Much More than Just a Column Store	2013	VLDB	0.0002749118
327	Impala: A Modern, Open-Source SQL Engine for Hadoop	2015	CIDR	0.0002095191
1,028	High-Speed Query Processing over High-Speed Networks	2016	VLDB	0.00012422084
1,276	Orca: A Modular Query Optimizer Architecture for Big Data	2014	SIGMOD	0.00011239266
1,632	Positional Update Handling in Column Stores	2010	SIGMOD	0.00010021251
1,766	SQL Server Column Store Indexes	2011	SIGMOD	9.6955121e-05
1,884	SQL-on-Hadoop: Full Circle Back to Shared-Nothing Database Architectures	2014	VLDB	9.4388097e-05
2,689	Major Technical Advancements in Apache Hive	2014	SIGMOD	8.1264718e-05
2,898	HAWQ: A Massively Parallel Processing SQL Engine in Hadoop	2014	SIGMOD	7.8853204e-05
2,903	Column-Oriented Storage Techniques for MapReduce	2011	VLDB	7.8810111e-05
6,801	From Cooperative Scans to Predictive Buffer Management	2012	VLDB	5.6788193e-05

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