DBScholar

Back to papers

Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLxP Workloads

Summary: SAP HANA Scale-out Extension enables scalable real-time analytics with OLAP on real-time data while supporting OLTP. Decouples core DB functions; MVCC with logical timestamps plus asynchronous replication preserves ACID and real-time freshness. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11237
Venue
VLDB
Year
2015
Pagerank
8.3849987e-05
Overall Rank
2,583 | 82.28%
DOI
10.14778/2824032.2824069

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{goel_vldb15,
        title = {{Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLxP Workloads}},
        author = {Goel, Anil K and Pound, Jeffrey and Auch, Nathan and Bumbulis, Peter and MacLean, Scott and Färber, Franz and Gropengiesser, Francis and Mathis, Christian and Bodner, Thomas and Lehner, Wolfgang},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        doi = {10.14778/2824032.2824069},
        url = {https://doi.org/10.14778/2824032.2824069},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers