Storing and Processing Temporal Data in a Main Memory Column Store
Summary: Native temporal support for SAP HANA’s in-memory column store, exploring time- versus space-clustered layouts. Introduces the Timeline Index, enabling efficient temporal aggregation, time travel, and joins, often outperforming prior methods by orders of magnitude. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Martin Kaufmann (ETH Zurich; Systems, Applications, and Products in Data Processing AG)
BibTeX Citation
@article{kaufmann_vldb13,
title = {{Storing and Processing Temporal Data in a Main Memory Column Store}},
author = {Kaufmann, Martin},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
pages = {1444--1447},
doi = {10.14778/2536274.2536302},
url = {https://doi.org/10.14778/2536274.2536302},
year = {2013}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,568 | Timeline Index: A Unified Data Structure for Processing Queries on Temporal Data in SAP HANA | 2013 | SIGMOD | 8.4096765e-05 |
| 8,354 | Comprehensive and Interactive Temporal Query Processing with SAP HANA | 2013 | VLDB | 5.4452016e-05 |
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