SynopSys: Large Graph Analytics in the SAP HANA Database Through Summarization Michael Rudolf1 Marcus Paradies1 Christof Bornhövd2 Wolfgang Lehner3 1SAP AG 2SAP Labs, LLC 3Database Technology Group Walldorf, Germany Palo Alto, CA 94304, USA TU Dresden, Germany
[email protected] [email protected] [email protected] ABSTRACT “Cell Phones “Computers & & Accessories” Graph-structured data is ubiquitous and with the advent of social Accessories” 4 networking platforms has recently seen a significant increase in 6 popularity amongst researchers. However, also many business appli- part of part of “Freddy” cations deal with this kind of data and can therefore benefit greatly 10 “Mike” from graph processing functionality offered directly by the underly- 8 5 “Phones” “Tablets” 7 ing database. This paper summarizes the current state of graph data in rates 4/5 processing capabilities in the SAP HANA database and describes our efforts to enable large graph analytics in the context of our research in 11 “Steve” rates 5/5 white 3 “Apple in project SynopSys. With powerful graph pattern matching support at iPhone 4” 16 GB the core, we envision OLAP-like evaluation functionality exposed to rates 5/5 the user in the form of easy-to-apply graph summarization templates. black rates 3/5 black 64 GB 1 32 GB 2 By combining them, the user is able to produce concise summaries 9 of large graph-structured datasets. We also point out open questions “Apple iPad “Apple and challenges that we plan to tackle in the future developments on MC707LL/A” “Carl” iPhone 5” our way towards large graph analytics.