Enterprise Application-Database Co-Innovation for Hybrid Transactional/Analytical Processing: A Virtual Data Model and Its Query Optimization Needs
Summary: HTAP enterprise apps and databases co-innovated via a Virtual Data Model (VDM) enabling analytics over transactional data. Analyzes optimization challenges--expansive join views, augmentation joins, and augmentation self-joins--stressing robust optimizers for scalable HTAP (SAP S/4HANA/HANA). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kihong Kim (SAP)
- 2. Hyunwook Kim (SAP)
- 3. Jinsu Lee (SAP)
- 4. Taehyung Lee (SAP)
- 5. Alexander Böhm (SAP)
- 6. Norman May (SAP)
- 7. Guido Moerkotte (University of Mannheim)
- 8. Daniel Ritter (SAP)
- 9. Ralf Dentzer (SAP)
- 10. Heiko Gerwens (SAP)
- 11. Irena Kofman (SAP)
- 12. Mihnea Andrei (SAP)
BibTeX Citation
@inproceedings{kim_sigmod25,
title = {{Enterprise Application-Database Co-Innovation for Hybrid Transactional/Analytical Processing: A Virtual Data Model and Its Query Optimization Needs}},
author = {Kim, Kihong and Kim, Hyunwook and Lee, Jinsu and Lee, Taehyung and Böhm, Alexander and May, Norman and Moerkotte, Guido and Ritter, Daniel and Dentzer, Ralf and Gerwens, Heiko and Kofman, Irena and Andrei, Mihnea},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3724436},
url = {https://dl.acm.org/doi/10.1145/3722212.3724436},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,007 | Experimental Evaluation of Optimizing Memory Consumption in SAP HANA Using PEOopt | 2025 | SIGMOD | 5.3338237e-05 |
| 9,772 | SAP HANA Cloud: Data Management for Modern Enterprise Applications | 2025 | SIGMOD | 5.2209769e-05 |
| 10,997 | The HANA Native Query Engine for Lakehouse Systems | 2025 | VLDB | 5.093636e-05 |
| 11,076 | CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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