SAP HANA--The Evolution of an In-Memory DBMS from Pure OLAP Processing Towards Mixed Workloads
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
The journey of SAP HANA started as an in-memory appliance for complex, analytical applications. The success of the system quickly motivated SAP to broaden the scope from the OLAP workloads the system was initially architected for to also handle transactional workloads, in particular to support its Business Suite flagship product. In this paper, we highlight some of the core design changes to evolve an in-memory column store system towards handling OLTP workloads. We also discuss the challenges of running mixed workloads with low-latency OLTP queries and complex analytical queries in the context of the same database management system and give an outlook on the future database interaction patterns of modern business applications we see emerging currently.
Details
Original language | English |
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Title of host publication | Datenbanksysteme fur Business, Technologie und Web, BTW 2017 |
Editors | Bernhard Mitschang, Daniela Nicklas, Frank Leymann, Harald Schoning, Melanie Herschel, Jens Teubner, Theo Harder |
Publisher | Gesellschaft fur Informatik (GI) |
Pages | 545-563 |
Number of pages | 19 |
ISBN (electronic) | 978-3-88579-659-6 |
Publication status | Published - 2017 |
Peer-reviewed | Yes |
Publication series
Series | GI-Edition : lecture notes in informatics. Proceedings |
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Volume | 265 |
ISSN | 1617-5468 |
Conference
Title | DBIS - Database Systems for Business, Technology and Web, BTW 2017, 17th Symposium of the GI Department "Databases and Information Systems" |
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Duration | 6 - 10 March 2017 |
City | Stuttgart |
Country | Germany |
External IDs
ORCID | /0000-0001-8107-2775/work/142253514 |
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