SAP HANA goes private – From Privacy Research to Privacy Aware Enterprise Analytics

Summary: Introduces SAP HANA Data Anonymization, integrating privacy-enhancing techniques into a production enterprise DBMS. Enables scalable, manageable, GDPR-aware analytics that seamlessly combines personal and non-personal data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 12109
Venue: VLDB
Year: 2019
Pagerank: 5.4670416e-05
Overall Rank: 8,203 | 43.73%
DOI: 10.14778/3352063.3352119

Incoming Non-self Citations Over Time

Authors

1. Stephan Kessler (SAP)
2. Jens Hoff (SAP)
3. Johann-Christoph Freytag (Humboldt University of Berlin)

BibTeX Citation

@article{kessler_vldb19,
        title = {{SAP HANA goes private – From Privacy Research to Privacy Aware Enterprise Analytics}},
        author = {Kessler, Stephan and Hoff, Jens and Freytag, Johann-Christoph},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {1998--2009},
        doi = {10.14778/3352063.3352119},
        url = {https://doi.org/10.14778/3352063.3352119},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,745	In-Memory for the Masses: Enabling Cost-Efficient Deployments of In-Memory Data Management Platforms for Business Applications	2019	VLDB	5.227679e-05

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
450	Incognito: Efficient Full-Domain K-Anonymity	2005	SIGMOD	0.00018155142
575	Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth	2012	SIGMOD	0.00016257033
1,010	m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets	2007	SIGMOD	0.00012684067
5,008	Exploring Privacy-Accuracy Tradeoffs using DPComp	2016	SIGMOD	6.4027712e-05

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