The Impact of Columnar In-Memory Databases on Enterprise Systems: Implications of Eliminating Transaction-Maintained Aggregates
Summary: Columnar in-memory DBs can support transactional workloads, allowing analytics directly on a redundancy-free schema. Eliminating transaction-maintained aggregates reduces write complexity, simplifies data models, and shifts workloads to read-heavy analytics on live data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 419 | Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems | 2015 | SIGMOD | 0.00023720338 |
| 3,905 | Native Store Extension for SAP HANA | 2019 | VLDB | 6.6408563e-05 |
| 5,881 | Page As You Go: Piecewise Columnar Access In SAP HANA | 2016 | SIGMOD | 5.2895336e-05 |
| 7,408 | An Examination of CXL Memory Use Cases for In-Memory Database Management Systems using SAP HANA | 2024 | VLDB | 4.7371479e-05 |
| 8,578 | Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems | 2022 | VLDB | 4.4923477e-05 |
| 9,186 | Enterprise Application-Database Co-Innovation for Hybrid Transactional/Analytical Processing: A Virtual Data Model and Its Query Optimization Needs | 2025 | SIGMOD | 4.3791424e-05 |
| 9,665 | Fingerprints for Compressed Columnar Data Search | 2019 | SIGMOD | 4.3082524e-05 |
| 10,415 | SAP HANA Cloud: Data Management for Modern Enterprise Applications | 2025 | SIGMOD | 4.1945683e-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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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,689 | Compacting Transactional Data in Hybrid OLTP&OLAP Databases | 2012 | VLDB | 6.8396366e-05 |
| 6,666 | Mainlining Databases: Supporting Fast Transactional Workloads on Universal Columnar Data File Formats | 2021 | VLDB | 4.9691571e-05 |
| 1,731 | Fast Updates on Read-Optimized Databases Using Multi-Core CPUs | 2012 | VLDB | 0.0001073454 |
| 21 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00086087497 |
| 3,764 | Read-Optimized Databases, In Depth | 2008 | VLDB | 6.7797554e-05 |
| 1,700 | Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads | 2016 | SIGMOD | 0.00010858865 |
| 710 | Performance Tradeoffs in Read-Optimized Databases | 2006 | VLDB | 0.00017765454 |
| 1,590 | Column-oriented Database Systems | 2009 | VLDB | 0.00011233838 |
| 497 | Column-Stores vs. Row-Stores: How Different Are They Really? | 2008 | SIGMOD | 0.00021716559 |
| 1,053 | A Common Database Approach for OLTP and OLAP Using an In-Memory Column Database | 2009 | SIGMOD | 0.00014429683 |