Projects per year
Organisation profile
Introduction / mission
The Database (DB) group studies core engineering and foundational challenges in scalable and effective management of Big Data.
Highlighted phrase
Getting more out of Big Data through faster and better insights
Organisation profile
Supporting richer, more accurate data analytics with data-intensive systems helps data scientists gain high-value insights for smarter decision-making.
The DB group investigates data management and data-intensive systems, inspired by real-world application and analytics scenarios in close cooperation with public sector and industrial research partners. Expertise within the group includes query language design and foundations, query optimization and evaluation, data analytics, and data integration.
A current research focus in the DB group is on problems in the management of massive graphs, such as social networks, linked open data, financial networks, communication networks, mobility networks, and biological networks. In response to the accelerating growth of graph-structured data collections, the popularity and adoption of graph management systems has increased tremendously in recent years. However, current solutions suffer from poor scalability and efficiency. The DB group is actively developing the fundamental technologies to overcome these limitations in the state of the art.
The DB group impacts the broader community through open-source software development and dissemination of research results. The group is also highly active in industrial R&D collaborations, training and mentoring of early-career scientists, and serving on international efforts such as the LDBC Graph Query Language Standardization Task Force.
Academic and industrial partners include leading research groups in Europe, Asia, and North America. Recent collaborators include Oracle Labs, Neo4j, University of Toronto, National University of Singapore, University of Lyon 1, and TU Dresden. The team has received research grants from the Netherlands Organization for Scientific Research (NWO) and companies such as Oracle Labs USA to support their fundamental research in the field of database systems.
Recent results include:
- G-CORE: A core for future graph query languages. SIGMOD 2018.
- Tink: A temporal graph analytics library for Apache Flink. WWW 2018.
- Landmark indexing for evaluation of label-constrained reachability queries. SIGMOD 2017.
- gMark: schema-driven generation of graphs and queries. IEEE TKDE 2017.
- Clustering-structure representative sampling from graph streams. COMPLEX NETWORKS 2017.
- Query planning for evaluating SPARQL property paths. SIGMOD 2016.
Fingerprint
Collaborations and top research areas from the last five years
Profiles
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A. Ashkey Elizabeth Bince
- Mathematics and Computer Science, Database Group - Doctoral Candidate-TA
Person: OWP : University Teacher / Researcher
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Hildo Bijl
- Mathematics and Computer Science, Database Group - University Lecturer
Person: OWP : University Teacher / Researcher
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Daniele Bonetta
- Mathematics and Computer Science, Database Group - Assistant Professor
Person: UD : Assistant Professor
Projects
- 1 Active
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MATTER - Maintenance Assistant for Timebound Troubleshooting and Event Resolution - RVO referentienummer TKI2212P18
Fletcher, G. H. L. (Project Manager)
1/01/21 → 31/08/27
Project: Research direct
Research output
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Breaking Down the Data-Metadata Barrier for Effective Property Graph Data Management
Sadoughi, S., Yakovets, N. & Fletcher, G. H. L., 10 Mar 2025, Proceedings 28th International Conference on Extending Database Technology ( EDBT 2025 ) Barcelona, Spain, March 25 - March 28. OpenProceedings.org, p. 978-984 7 p. (Advances in Database Technology - EDBT; vol. 28, no. 3).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile39 Downloads (Pure) -
OmniSketch: Streaming Data Analytics with Arbitrary Predicates
Punter, W. R., Papapetrou, O. & Garofalakis, M., 28 Apr 2025, In: SIGMOD Record. 54, 1, p. 28-35 8 p.Research output: Contribution to journal › Article › Academic › peer-review
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A canon is a blunt force instrument: data science, canons, and generative frictions
de Groot, A., Fletcher, G. H. L., van Manen, G., Saxena, A., Serebrenik, A. & Taylor, L. E. M., 3 Sept 2024, Dialogues in Data Power: Shifting Response-abilities in a Datafied World. Jarke, J. & Bates, J. (eds.). Bristol University Press, p. 186-214 29 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
Open AccessFile1 Citation (Scopus)3 Downloads (Pure)
Prizes
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ACM SIGMOD Research Highlight Award
Punter, W. R. (Recipient), Papapetrou, O. (Recipient) & Garofalakis, M. N. (Recipient), 29 Apr 2025
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Paper Award
Punter, W. R. (Recipient), Papapetrou, O. (Recipient) & Garofalakis, M. N. (Recipient), 29 Aug 2024
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Paper Nomination
Taipalus, T. (Recipient), Miedema, D. E. (Recipient) & Aivaloglou, E. (Recipient), 10 Jul 2023
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Press/Media
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Better teaching materials for programming language SQL
10/01/24
1 item of Media coverage
Press/Media: Research
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“Data scientists don’t always ask questions persistently enough”
Collaris, D., Miedema, D. E. & Weerts, H. J. P.
8/11/22 → 9/11/22
2 Media contributions
Press/Media: Public Engagement Activities
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Student theses
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A computational biology framework: a data analysis tool to support biomedical engineers in their research
Beishuizen, T. P. A. (Author), Bosnacki, D. (Supervisor 1), Cheplygina, V. (Supervisor 2), Hilbers, P. A. J. (Supervisor 2), Fletcher, G. (Supervisor 2) & Vanschoren, J. (Supervisor 2), 29 Nov 2018Student thesis: Master
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Activity Recognition Using Deep Learning in Videos under Clinical Setting
Srinivasan, V. (Author), Duivesteijn, W. (Supervisor 1), Papapetrou, O. (Supervisor 2), Zhang, L. (External coach) & Vasu, J. D. (External coach), 28 Jan 2020Student thesis: Master
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Adopting the factorized model of execution in a graph database engine
Wortel, K. Y. (Author), Yakovets, N. (Supervisor 1) & van de Wall, A. A. G. (Supervisor 2), 19 Dec 2022Student thesis: Master
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