AnyOLAP: Analytical Processing of Arbitrary Data-Intensive Applications without ETL
Summary: AnyOLAP enables in-situ, online analytics inside running data-intensive applications, bypassing ETL. Shows live, interactive visualizations of the end-to-end analytics pipeline on source data with no data movement, enabling true online analysis. (summarized by gpt-5-nano on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,010 | Taking the Shortcut: Actively Incorporating the Virtual Memory Index of the OS to Hardware-Accelerate Database Indexing | 2024 | CIDR | 4.4100932e-05 |
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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 |
|---|---|---|---|---|
| 21 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00086087497 |
| 66 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00061639801 |
| 3,933 | RUMA has it: Rewired User-space Memory Access is Possible! | 2016 | VLDB | 6.617914e-05 |
| 5,112 | Accelerating Analytical Processing in MVCC using Fine-Granular High-Frequency Virtual Snapshotting | 2018 | SIGMOD | 5.6876077e-05 |
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