Graphalytics is a big data benchmark for graph-processing platforms.


For general users:
For technical users:

Code on GitHub:

Main repository:


  1. Alexandru Iosup, “Course about large-scale graph processing”, BEST Spring Course 2016, Delft, the Netherlands, April 2016.
  2. Alexandru Iosup, Ana Lucia Varbanescu, Mihai Capotă, Tim Hegeman, Arnau Prat-Pérez, Josep Larriba-Pay, and Peter Boncz, “Benchmarking Platforms for Large-Scale Graph Processing and RDF Data Management: the LDBC Approach” Benchmarking Platforms for Large-Scale Graph Processing and RDF Data Management: the LDBC Approach, Tutorial material, PDF format, Tutorial at SC15, Austin, TX, 2015.
  3. Ana Lucia Varbanescu, Alexandru Iosup, and Mihai Capotă, “Platform Selection and Performance Engineering for Graph Processing on Parallel and Distributed Platforms”, Tutorial at ICPE 2015, Austin, TX, 2015.

Talks/Presentations (selected):

  1. Talk on Graphalytics at Ninth TUC Meeting, SAP Headquarters in Walldorf Germany, February 9+10 2017. SAP, Walldorf, Germany. February 2017.
  2. Keynote on LDBC Graphalytics: from benchmarking to performance engineering of large-scale graph-processing systems In PELGA'16, Euro-Par Workshops, Grenoble, France. August 2016.
  3. Talk on LDBC Graphalytics: benchmarking large-scale graph-processing systems In In Graph-TA, Barcelona, Spain. March 2016.


  1. Alexandru Iosup, Tim Hegeman, Wing Lung Ngai, Stijn Heldens, Arnau Prat-Pérez, Thomas Manhardt, Hassan Chafi, Mihai Capota, Narayanan Sundaram, Michael J. Anderson, Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Peter A. Boncz: LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms. PVLDB 9(13): 1317-1328 (2016)
  2. Yong Guo, Ana Lucia Varbanescu, Dick H. J. Epema, Alexandru Iosup: Design and Experimental Evaluation of Distributed Heterogeneous Graph-Processing Systems. CCGrid 2016: 203-212
  3. Mihai Capotă, Tim Hegeman, Alexandru Iosup, Arnau Prat-Pérez, Orri Erling, and Peter Boncz, “Graphalytics: A Big Data Benchmark for Graph-Processing Platforms”, in International Workshop on Graph Data Management Experiences and Systems (GRADES), 2015. (accepted)
  4. A. Iosup, A. L. Varbanescu, M. Capotă, T. Hegeman, Y. Guo, W. L. Ngai, and M. Verstraaten, “Towards Benchmarking IaaS and PaaS Clouds for Graph Analytics”, in Workshop on Big Data Benchmarking (WBDB), 2014.
  5. Y. Guo, M. Biczak, A. L. Varbanescu, A. Iosup, C. Martella, and T. L. Willke, “How Well Do Graph-Processing Platforms Perform? An Empirical Performance Evaluation and Analysis”, in IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2014, pp. 395–404. doi:10.1109/IPDPS.2014.49
  6. Y. Guo, A. L. Varbanescu, A. Iosup, C. Martella, and T. L. Willke, “Benchmarking graph-processing platforms”, in ACM/SPEC International Conference on Performance Engineering (ICPE), 2014, pp. 289–292. doi:10.1145/2568088.2576761

Sponsors and Participants:

TU Delft, the Netherlands
Oracle Labs, SF, CA, USA
Intel Labs, Portland, OR, USA
UPC Barcelona, Spain
University of Amsterdam, the Netherlands
CWI Amsterdam, the Netherlands
Delft Data Science, the Netherlands
CWI Amsterdam, the Netherlands
CWI Amsterdam, the Netherlands

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