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SAP HANA Cloud: Data Management for Modern Enterprise Applications
Summary: SAP HANA Cloud: a composable, cloud-native data platform migrating from on-prem in-memory to a memory-storage hierarchy-aware system. It highlights elasticity, availability, and cost-aware cloud operation for enterprise apps, with design criteria and lessons.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7116
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,425 | 27.55%
- DOI
-
10.1145/3722212.3724452
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 739 |
Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores |
2020 |
VLDB |
0.00017365933 |
| 1,273 |
Amazon Redshift Re-invented |
2022 |
SIGMOD |
0.00012870386 |
| 1,356 |
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics |
2021 |
CIDR |
0.00012409986 |
| 1,726 |
Fast Updates on Read-Optimized Databases Using Multi-Core CPUs |
2012 |
VLDB |
0.00010734339 |
| 3,642 |
BtrBlocks: Efficient Columnar Compression for Data Lakes |
2023 |
SIGMOD |
6.8876984e-05 |
| 3,724 |
What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines |
2023 |
VLDB |
6.8121422e-05 |
| 3,907 |
Native Store Extension for SAP HANA |
2019 |
VLDB |
6.6384027e-05 |
| 4,445 |
The Impact of Columnar In-Memory Databases on Enterprise Systems: Implications of Eliminating Transaction-Maintained Aggregates |
2014 |
VLDB |
6.1754623e-05 |
| 5,111 |
Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores |
2017 |
VLDB |
5.6855393e-05 |
| 6,397 |
BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse |
2024 |
SIGMOD |
5.0749432e-05 |
| 7,016 |
LLM for Data Management |
2024 |
VLDB |
4.8561622e-05 |
| 7,820 |
Deep Lake: a Lakehouse for Deep Learning |
2023 |
CIDR |
4.6394471e-05 |
| 9,190 |
Enterprise Application-Database Co-Innovation for Hybrid Transactional/Analytical Processing: A Virtual Data Model and Its Query Optimization Needs |
2025 |
SIGMOD |
4.3749452e-05 |
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| Overall Rank |
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Pagerank |
| 7,889 |
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4.6211944e-05 |
| 8,387 |
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4.5255213e-05 |
| 4,576 |
SAP HANA Adoption of Non-Volatile Memory |
2017 |
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6.0660324e-05 |
| 8,150 |
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2022 |
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4.5714701e-05 |
| 13,655 |
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2006 |
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- |
| 2,850 |
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VLDB |
8.0194228e-05 |
| 10,773 |
The HANA Native Query Engine for Lakehouse Systems |
2025 |
VLDB |
4.1905499e-05 |
| 9,611 |
In-Memory for the Masses: Enabling Cost-Efficient Deployments of In-Memory Data Management Platforms for Business Applications |
2019 |
VLDB |
4.3136057e-05 |
| 857 |
Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth |
2012 |
SIGMOD |
0.00015840492 |
| 3,187 |
SAP HANA: The Evolution from a Modern Main-Memory Data Platform to an Enterprise Application Platform |
2013 |
VLDB |
7.4194933e-05 |