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)
Incoming Non-self Citations Over Time
Authors
- 1. Andrei Costea
- 2. Adrian Ionescu
- 3. Bogdan Rǎducanu
- 4. Michał Świtakowski
- 5. Cristian Bârcă
- 6. Juliusz Sompolski
- 7. Alicja Łuszczak
- 8. Michał Szafrański
- 9. Giel de Nijs
- 10. Peter Boncz
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 |
Previous
Page 1 / 1
Next
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.
Previous
Page 1 / 1
Next