Successful In-Memory Database Usage - A Structured Analysis

被引:0
|
作者
Scheffler, Alexa [1 ]
Otyepka, Sarah [1 ]
机构
[1] Univ Augsburg, Augsburg, Germany
来源
关键词
In-Memory Databases; Benefits; Real-Time Business Intelligence;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In-memory databases (IMDB) are a raising technology and have the potential to mark the end of computing performance bottlenecks. Our literature review did reveal that to date, no study analyzes the resulting benefits of IMDB usage and little is known about cause and effect of IMDB usage and its economic effects. This paper provides a structured analysis of experiences gained with IMDB usage. Surprisingly, our study showed that the promoted vision of IMDB as enabler for an integrated OLAP/OLTP infrastructure has not been put into practice yet. Currently, IMDB is mainly used for response time improvement in the field of analytical data processing. Furthermore, we observed that IMDB is predominantly used to improve existing business processes, instead of establishing new business models. The findings of our study may serve as basis for the development of hypotheses, validation and advancement of the theory of disruptive innovation and further empirical quantitative studies.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Oracle Database In-Memory: A Dual Format In-Memory Database
    Lahiri, Tirthankar
    Chavan, Shasank
    Colgan, Maria
    Das, Dinesh
    Ganesh, Amit
    Gleeson, Mike
    Hase, Sanket
    Holloway, Allison
    Kamp, Jesse
    Lee, Teck-Hua
    Loaiza, Juan
    Macnaughton, Neil
    Marwah, Vineet
    Mukherjee, Niloy
    Mullick, Atrayee
    Muthulingam, Sujatha
    Raja, Vivekanandhan
    Roth, Marty
    Soylemez, Ekrem
    Zait, Mohamed
    [J]. 2015 IEEE 31ST INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2015, : 1253 - 1258
  • [2] Benchmarking in-memory database
    Cheqing Jin
    Yangxin Kong
    Qiangqiang Kang
    Weining Qian
    Aoying Zhou
    [J]. Frontiers of Computer Science, 2016, 10 : 1067 - 1081
  • [3] Benchmarking in-memory database
    Cheqing JIN
    Yangxin KONG
    Qiangqiang KANG
    Weining QIAN
    Aoying ZHOU
    [J]. Frontiers of Computer Science., 2016, 10 (06) - 1081
  • [4] Benchmarking in-memory database
    Jin, Cheqing
    Kong, Yangxin
    Kang, Qiangqiang
    Qian, Weining
    Zhou, Aoying
    [J]. FRONTIERS OF COMPUTER SCIENCE, 2016, 10 (06) : 1067 - 1081
  • [5] In-Memory Database Query
    Giannopoulos, Iason
    Singh, Abhairaj
    Le Gallo, Manuel
    Jonnalagadda, Vara Prasad
    Hamdioui, Said
    Sebastian, Abu
    [J]. ADVANCED INTELLIGENT SYSTEMS, 2020, 2 (12)
  • [6] In-memory parallelism for database workloads
    Trancoso, P
    [J]. EURO-PAR 2002 PARALLEL PROCESSING, PROCEEDINGS, 2002, 2400 : 532 - 542
  • [7] Consistent Snapshot Algorithms for In-Memory Database Systems: Experiments and Analysis
    Li, Liang
    Wang, Guoren
    Wu, Gang
    Yuan, Ye
    [J]. 2018 IEEE 34TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2018, : 1284 - 1287
  • [8] Replicated Layout for In-Memory Database Systems
    Sudhir, Sivaprasad
    Cafarella, Michael
    Madden, Samuel
    [J]. PROCEEDINGS OF THE VLDB ENDOWMENT, 2021, 15 (04): : 984 - 997
  • [9] Elastic Pipelining in an In-Memory Database Cluster
    Wang, Li
    Zhou, Minqi
    Zhang, Zhenjie
    Yang, Yin
    Zhou, Aoying
    Bitton, Dina
    [J]. SIGMOD'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2016, : 1279 - 1294
  • [10] In-memory database acceleration on FPGAs: a survey
    Jian Fang
    Yvo T. B. Mulder
    Jan Hidders
    Jinho Lee
    H. Peter Hofstee
    [J]. The VLDB Journal, 2020, 29 : 33 - 59