Homepage of Peter Boncz

Senior researcher at the Database Architectures research group of CWI and professor at the Vrije Universiteit Amsterdam in the special chair of Large-Scale Analytical Data Management (about my research). Architect of the database systems MonetDB, VectorWise (aka Actian Vector) and VectorH (VectorWise-on-Hadoop). Have been involved in 5 spin-off companies in the area of data management.

View Peter Boncz's profile on LinkedIn
has my online CV

Hiring: I tend to have PhD and post-doc positions open for cutting-edge research in the topics outlined below. Approach me (email boncz at cwi dot nl) to apply.


For Amsterdam Data Science I have been developing new education in Big Data technologies, teaching the architectural principles of frameworks like Spark, and how to use such systems to analyze large datasets on clusters in the cloud (together with Hannes Muehleisen): Prior to this, I used to teach the Databases bachelor course at VU, and even earlier the Database II course at UvA.

Publications [dblp] [scholar] [ResearchGate]





Projects handled as the PI, from the project/resource perspective: Work on data systems: Current research interests:


Post-Docs: PhD Students: MSc Students: Many of these student's I co-advised. In the case of Marcin and Menzo, this involved Martin Kersten. For the other students, it varies (check the thesis contents).

Other Students:

Organizational Activities in the Research Community

Scientific Governance: Journal Editorships: PC memberships of Major database conferences: other PC memberships: Additionally, I have served as referee for journal publications: I serve as secretary to Data Science Platform Netherlands (DSPN), representing my employer CWI there. DSPN was launched in 2016 as part of the ICT Research Platform Netherlands (IPN) to give a voice to the Data Science initiatives of the Dutch ICT research organizations.

I am the co-founder of the Linked Data Benchmark Council (LDBC), a UK company limited by guarantee, a non-profit organization dedicated to establishing benchmarks, benchmark practices and benchmark results for graph data management software. Its members are companies involved in the creating of graph data management systems (e.g. Oracle, neo4j, Tigergraph, Ontotext, Openlink). Since 2018, LDBC also became active, beyond benchmarking, in studying and proposing query and schema languages for property graph systems. Since its inception I have been either the chairman or vice-chairman of the board of directors of LDBC, of which I am a personal member.