EconPapers    
Economics at your fingertips  
 

SanssouciDB: Blueprint for an In-Memory Enterprise Database System

Hasso Plattner and Alexander Zeier
Additional contact information
Hasso Plattner: Hasso Plattner Institute
Alexander Zeier: Massachusetts Institute of Technology

Chapter Chapter 3 in In-Memory Data Management, 2012, pp 29-36 from Springer

Abstract: Abstract This chapter provides an overview of how we plan to realize our vision of making real-time information about a business available in real time. We show how using an in-memory database, designed specifically for enterprise applications, provides significant performance advantages over general purpose disk-based DBMSs. Throughout the chapter we describe the technologies we use and why these are the best choices for our particular purposes.

Keywords: SanssouciDB; Enterprise Application; Parallel Query Processing Algorithms; Differential Storage; Special Single Instruction Multiple Data (SIMD) (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-29575-1_3

Ordering information: This item can be ordered from
http://www.springer.com/9783642295751

DOI: 10.1007/978-3-642-29575-1_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-642-29575-1_3