Peter Boncz holds appointments as tenured researcher at CWI as well as an Endowed Professorship of Large-Scale Analytical Data Management at the Faculty of Sciences of VU University Amsterdam. His academic background is in core database architecture, with the architecture of MonetDB the main topic of his PhD thesis. This work focused on architecture-conscious database research, which studies the interaction between computer architecture and data management techniques. His specific contributions are in cache-conscious join methods, query and transaction processing in columnar database systems, and vectorized query execution. In recent years he has also worked on (distributed) XML database systems, forensic data analysis, scalable RDF data management, and graph database benchmarking. He has a strong track record in bridging the gap between academia and commercial application, receiving the Dutch ICT Regie Award 2006 for his role in the CWI spin-off company Data Distilleries. In 2008 he founded a new CWI spin-off company called VectorWise, dedicated to state-of-the art business intelligence technology. He is also the co-recipient of the 2009 VLDB 10 Years Best Paper Award, and in 2013 received the Humboldt Research Award for his research achievements.
2006 ICT Regie Award
2009 VLDB Ten Year Best Paper Award
2013 Humboldt Research Award
F. Nagel, P. Boncz, S. Viglas; Recycling in Pipelined Query Evaluation. IEEE International Conference on Data Engineering (ICDE 2013).
B. Raducanu, P. Boncz, M. Zukowski; Micro Adaptivity in Vectorwise. ACM International Conference on Management of Data (SIGMOD 2013).
M. Switakowski, P. Boncz, M. Zukowski; From Cooperative Scans to Predictive Buffer Management. International Conference on Very Large Data Bases (VLDB 2012).
P. Minh Duc, P. Boncz, O. Erling; S3G2: a Scalable Structure-correlated Social Graph Generator. TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC 2012).
M. Zukowski, P. Boncz; Vectorwise: Beyond Column Stores. IEEE Data Engineering Bulletin, 35, p.21–27 (DEBULL 2012).
Y. Zhang, N. Tang, P. Boncz; Projective Distribution of XQuery with Updates. IEEE Transactions on Knowledge and Data Engineering, 22, p.1059–1076 (ICDE 2010).
S. Héman, M. Zukowski, N. Nes, L. Sidirourgos, P. Boncz; Positional update handling in column stores. ACM International Conference on Management of Data (SIGMOD 2010).
R. Abdel Kader, P. Boncz, S. Manegold, M. van Keulen; ROX: Run-time optimization of XQueries. ACM International Conference on Management of Data (SIGMOD 2009).
P. Boncz, M. Kersten, S. Manegold; Breaking the memory wall in MonetDB, Communications of the ACM, 51, p.77–85 (CACM 2009).
R. Cornacchia, S. Héman, M. Zukowski, A. de Vries, P. Boncz; Flexible and efficient IR using array databases. VLDB Journal, 17, p.151–168 (VLDBJ 2009).
M. Zukowski, S. Héman, N. Nes, P. Boncz; Cooperative Scans: Dynamic Bandwidth Sharing in a DBMS. International Conference on Very Large Data Bases (VLDB 2009).
Y. Zhang, P. Boncz; XRPC: Interoperable and Efficient Distributed XQuery. International Conference on Very Large Data Bases (VLDB 2009).
P. Boncz, T. Grust, M. van Keulen, S. Manegold, J. Rittinger, J. Teubner;
MonetDB/XQuery: A fast XQuery processor powered by a relational engine. ACM International Conference on Management of Data (SIGMOD 2006).
W. Alink, R. Bhoedjang, A. de Vries, P. Boncz; XIRAF - XML-based indexing and querying for digital forensics. Digital Investigation, 3, p.50–58 (DI 2006).
M. Zukowski, S. Héman, N. Nes, P. Boncz; Super-Scalar RAM-CPU Cache Compression. IEEE International Conference on Data Engineering (ICDE 2006).
P. Boncz, M. Zukowski, N. Nes; MonetDB/X100: Hyper-Pipelining Query Execution. International Conference on Innovative Database Research (CIDR 2005).
S. Manegold, P. Boncz, N. Nes, M. Kersten. Cache-Conscious Radix-Decluster Projections. International Conference on Very Large Data Bases (VLDB 2004).
P. Boncz; Monet: a next-generation database kernel for query-intensive applications. PhD Thesis, University of Amsterdam, 2002.
S. Manegold, P. Boncz, M. Kersten; Generic Database Cost Models for Hierarchical Memory Systems. International Conference on Very Large Data Bases (VLDB 2002).
P. Boncz, S. Manegold, M. Kersten; Database architecture optimized for the new bottleneck: Memory access. International Conference on Very Large Data Bases (VLDB 1999).
P. Boncz, M. Kersten; MIL primitives for querying a fragmented world. VLDB Journal, 8, p.101–119 (VLDBJ 1999).