Description
Leader of the group Database Architectures: Stefan Manegold.
We, the Database Architectures (DA) research group of CWI, are well known as a top data systems research group, active in the broad area of data (management) systems and infrastructure for supporting data science. Our research group has a strong international reputation in academia and industry for pioneering column store technology, fast compression methods, vectorized query execution, on-line query-driven indexing (cracking), adaptive caching, and integration of statistical languages and analysis in database management systems.
We develop, distribute and maintain the MonetDB open-source system, and we have spawned multiple spin-off companies, including Data Distilleries, VectorWise and MonetDB Solutions. Our team also operates a self-built cluster, SciLens, that – unlike many other computer clusters – is bandwidth-optimized and thus better suited as a data-science infrastructure. We pride ourselves on revealing the real problems in our discipline and coming up with revolutionary solutions that are frequently ahead of their time.
Vacancies
No vacancies currently.
News
New CWI spin-off company DuckDB Labs: Solutions for fast database analytics
CWI researchers Hannes Mühleisen and Mark Raasveldt founded the spin-off company DuckDB Labs. The company provides services and development for DuckDB, an open-source database management system aimed at efficient data analytics.
CWI Fellow Martin Kersten receives Royal decoration
Database pioneer Martin Kersten has been awarded a royal decoration today. Kersten was appointed Knight in the Royal Order of the Netherlands Lion, recognizing his merit in pioneering database research.
CWI Lectures on database research
This year’s edition of CWI Lectures revolved around database pioneer and CWI fellow Martin Kersten. Several international speakers discussed recent advances in their database research. Video recordings of the event are now available to view.
Snowflake’s co-founder Marcin Żukowski reflects on his time at CWI
“I knew it had amazing potential”, says Snowflake co-founder Marcin Żukowski, looking back on his time as a PhD researcher at CWI. In his PhD thesis, published in 2009, Żukowski described the blueprint of what would become two key technologies currently used by data storage and analytics provider Snowflake.
Current events
PhD defense Benno Kruit
- 2021-12-08T15:45:00+01:00
- 2021-12-08T16:45:00+01:00
PhD defense Benno Kruit
Start: 2021-12-08 15:45:00+01:00 End: 2021-12-08 16:45:00+01:00
Everyone is invited to attend the public defense of Benno Kruit of his PhD thesis:
Extending Knowledge Bases from Human-readable Tables
Promotor: Peter Boncz
Co-promotor: Jacopo Urbani
Promovendus: Benno Kruit
Datum: Woensdag 08-12-2021
Tijd: 15:45
Locatie: Aula, Vrije Universiteit Amsterdam, De Boelelaan 1105
Livestream: http://www.youtube.com/c/VUBeadlesOffice
Members
Associated Members
Publications
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Holanda, P.T. (2021, September 21). Progressive indexes. SIKS Dissertation Series.
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Gubner, T.K, & Boncz, P.A. (2021). Charting the design space of query execution using VOILA. In Proceedings of the VLDB Endowment (pp. 1067–1097). doi:10.14778/3447689.3447709
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Kruit, B.B, Boncz, P.A, & Urbani, J. (2021). TAKCO: A platform for extracting novel facts from tables. In Companion of the World Wide Web Conference (pp. 705–707). doi:10.1145/3442442.3458611
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Lang, H, Beischl, A, Leis, V, Boncz, P.A, Neumann, T, & Kemper, A. (2020). Tree-Encoded Bitmaps. In Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 937–967). doi:10.1145/3318464.3380588
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Raasveldt, M. (2020, June 9). Integrating analytics with relational databases. SIKS Dissertation Series.
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Ghita, B, Gomes Tomé, D, & Boncz, P.A. (2020). White-box compression: Learning and exploiting compact table representations. In Proceedings of the Conference on Innovative Data Systems Research.
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Kipf, A, Lang, H, Pandey, V.N, Persa, R.A, Anneser, C, Zacharatou, E.T, … Kemper, A. (2020). Adaptive main-memory indexing for high-performance point-polygon joins. In Advances in Database Technology - EDBT (pp. 347–358). doi:10.5441/002/edbt.2020.31
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Kruit, B.B, He, H., H, & Urbani, J. (2020). Tab2Know: Building a Knowledge Base from Tables in Scientific Papers. In Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence. doi:10.1007/978-3-030-62419-4_20
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Gubner, T.K, Gomes Tomé, D, Lang, H, & Boncz, P.A. (2019). Fluid co-processing: GPU Bloom-filters for CPU joins. In Proceedings of the 15th International Workshop on Data Management on New Hardware (pp. 9:1–9:10). doi:10.1145/3329785.3329934
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De Leo, D, & Boncz, P.A. (2019). Fast concurrent reads and updates with PMAs. In Proceedings of the Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) 2019. doi:10.1145/3327964.3328497
Software
MonetDB: high-performance query processing against very large databases
MonetDB is a relational database management system (DBMS) providing high performance on complex queries against large databases.
Current projects with external funding
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RelationalAI-CWI Research Agreement ()
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Actian Research Grant II (ACTIAN II)
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Cross-Industry Predictive Maintenance Optimization Platform (CIMPLO)
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Databricks CWI Research Agreement (Databricks)
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Databricks III
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Lokale Digitale Competentie centra (DCC) (DCC-NWO-I)
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Facebook Research Grant (Facebook)
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Research agreeement CWI - Databricks - vervolg contract (None)
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RelationalAI-CWI Research Grant Agreement (RelationalAI)
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Structure-aware Querying & Information Retrieval on Evolving Large Graphs (SQIREL-GRAPHS)
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Ursa-CWI Research Grant (Ursa)
Related partners
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Actian Corporation
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Databricks
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LIACS Institute
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Neo Technology AB
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OBI4wan B.V.
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RelationalAI
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Spinque
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WizeNoze B.V.
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Facebook
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Ursa Computing Inc.