Open Access
| Issue |
Security and Safety
Volume 4, 2025
|
|
|---|---|---|
| Article Number | 2025010 | |
| Number of page(s) | 19 | |
| Section | Digital Finance | |
| DOI | https://doi.org/10.1051/sands/2025010 | |
| Published online | 31 July 2025 | |
- China Academy of Information and Communications Technology. Database Development Research Report 2021. Beijing, 2021 [Google Scholar]
- Li G, Zhou X and Sun J et al. openGauss: An autonomous database system. Proc. VLDB Endow. 2021; 14: 3028–3041. [Google Scholar]
- Pezzini M, Feinberg D and Rayner N et al. Hybrid transaction/analytical processing will foster opportunities for dramatic business innovation. Gartner 2014; 2014: 4–20. [Google Scholar]
- Huang D, Liu Q and Cui Q et al. TiDB: A raft-based HTAP database. Proc VLDB Endow. 13; 2020: 3072–3084. [Google Scholar]
- MySQL Heatwave. Real-time Analytics for MySQL Database Service, 2021. [Google Scholar]
- Larson PÅ, Birka A and Hanson EN et al. Real-time analytical processing with SQL server. VLDB 8; 2015: 1740–1751. [Google Scholar]
- Sikka V, Färber F and Lehner W et al. Efficient transaction processing in SAP HANA database: The end of A column store myth. In: SIGMOD, 2012, 731–742. [Google Scholar]
- Li G and Zhang C. HTAP databases: What is new and what is next. In: Proceedings of the 2022 International Conference on Management of Data (SIGMOD ’22). Association for Computing Machinery, New York, NY, USA, 2022, 2483–2488. [Google Scholar]
- Bitton D, DeWitt DJ and Turbyfill C. Benchmarking database systems–A systematic approach. Madison: University of Wisconsin-Madison, 1983. [Google Scholar]
- Leutenegger ST and Dias DM. A modeling study of the TPC-C benchmark. In: Proceedings of the 1993 ACM International Conference on Management of Data, Washington DC, 1993. [Google Scholar]
- Poess M and Floyd C. New TPC benchmarks for decision support and web commerce. ACM Spec Interest Group Manag Data Record 2000; 29: 6471. [Google Scholar]
- Murphy RC, Wheeler KB and Barrett BW et al. Introducing the graph 500. Cray Users Group 2010; 19: 4574. [Google Scholar]
- Hao Y, Qin X and Chen Y et al. TS-Benchmark: A benchmark for time series databases. In: 37th IEEE International Conference on Data Engineering, Chania, 2021. [Google Scholar]
- Cao P, Gowda B and Lakshmi S et al. From BigBench to TPCx-BB: Standardization of a big data benchmark. In: 8th TPC Technology Conference, New Delhi, 2016, 2444. [Google Scholar]
- Funke F, Kemper A and Krompass S et al. Metrics for measuring the performance of the mixed workload CH-benCHmark. In: Third TPC Technology Conference, Seattle, 2011. [Google Scholar]
- Milkai E, Chronis Y and Gaffney KP et al. How good is my HTAP system? In: Proceedings of the 2022 International Conference on Management of Data (SIGMOD ’22). Association for Computing Machinery, New York, NY, USA, 2022, 1810–1824. [Google Scholar]
- Jiang C, Tian J and Ma P. Databench-T: A transactional database benchmark for financial scenarios. In: 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications, Shenyang, 2021. [Google Scholar]
- Jing Y, Zhang H and Li Z et al. Next-generation database benchmark for financial scenarios. Strategic Study CAE 2022; 24: 121. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.