Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Main Memory DBMS

  • Peter Boncz
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_655

Synonyms

In-memory DBMS; MMDBMS

Definition

A main memory database system is a DBMS that primarily relies on main memory for computer data storage. In contrast, conventional database management systems typically employ hard disk based persistent storage.

Key Points

The main advantage of MMDBMS over normal DBMS technology is superior performance, as I/O cost is no more a performance cost factor. With I/O as main optimization focus eliminated, the architecture of main memory database systems typically aims at optimizing CPU cost and CPU cache usage, leading to different data layout strategies (avoiding complex tuple representations) as well as indexing structures (e.g., B-trees with lower-fan-outs with nodes of one or a few CPU cache lines).

While built on top of volatile storage, most MMDB products offer ACID properties, via the following mechanisms: (i) Transaction Logging, which records changes to the database in a journal file and facilitates automatic recovery of an in-memory...

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Recommended Reading

  1. 1.
    Bohannon P, Lieuwen DF, Rastogi R, Silberschatz A, Seshadri S, Sudarshan S. The architecture of the dalí main-memory storage manager. Multimedia Tools Appl. 1997;4(2):115–51.CrossRefGoogle Scholar
  2. 2.
    Boncz PA, Kersten ML. MIL primitives for querying a fragmented world. VLDB J. 1999;8(2):101–19.CrossRefGoogle Scholar
  3. 3.
    DeWitt DJ, Katz RH, Olken F, Shapiro LD, Stonebraker M, Wood DA. Implementation techniques for main memory database systems. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1984. p. 1–8.Google Scholar
  4. 4.
    Hvasshovd S-O, Torbjørnsen Ø, Bratsberg SE, Holager P. The ClustRa telecom database: high availability, high throughput, and real-time response. In: Proceedings of the 21th International Conference on Very Large Data Bases; 1995. p. 469–77.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.CWIAmsterdamThe Netherlands

Section editors and affiliations

  • Anastasia Ailamaki
    • 1
  1. 1.Informatique et CommunicationsEcole Polytechnique Fédérale de LausanneLausanneSwitzerland