Big Graph Processing Systems (Dagstuhl Seminar 19491)

Authors Angela Bonifati, Alexandru Iosup, Sherif Sakr, Hannes Voigt and all authors of the abstracts in this report

Thumbnail PDF


  • Filesize: 8.35 MB
  • 27 pages

Document Identifiers

Author Details

Angela Bonifati
  • University Claude Bernard - Lyon, FR
Alexandru Iosup
  • VU University Amsterdam, NL
Sherif Sakr
  • University of Tartu, EE
Hannes Voigt
  • Neo4j - Leipzig, DE
and all authors of the abstracts in this report

Cite AsGet BibTex

Angela Bonifati, Alexandru Iosup, Sherif Sakr, and Hannes Voigt. Big Graph Processing Systems (Dagstuhl Seminar 19491). In Dagstuhl Reports, Volume 9, Issue 12, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)


This report documents the program and the outcomes of Dagstuhl Seminar 19491 "Big Graph Processing Systems". We are just beginning to understand the role graph processing could play in our society. Data is not just getting bigger, but, crucially, also more connected. Exploring, describing, predicting, and explaining real- and digital-world phenomena is increasingly relying on abstractions that can express interconnectedness. Graphs are such an abstraction. They can model naturally the complex relationships, interactions, and interdependencies between objects. However, after initial success, graph processing systems are struggling to cope with the new scale, diversity, and other real-world needs. The Dagstuhl Seminar 19491 aims to addresses the question: How could the next decade look like for graph processing systems? To identify the opportunities and challenges of graph processing systems over the next decade, we met in December 2019 with circa 40 high-quality and diverse researchers for the Dagstuhl Seminar on Big Graph Processing Systems. A main strength of this seminar is the combination of the data management and large-scale systems communities. The seminar was successful, and addressed in particular topics around graph processing systems: ecosystems, abstractions and other fundamental theory, and performance.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Architectures
  • Information systems → Data management systems
  • Software and its engineering → Distributed systems organizing principles
  • Abstractions
  • Big Data
  • Big Graph
  • data management
  • Ecosystems
  • graph processing
  • Performance
  • systems
  • Theory


  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    PDF Downloads
Questions / Remarks / Feedback

Feedback for Dagstuhl Publishing

Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail