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.





PhD Students in the areas of Big Data Management and Analysis Architectures and Data Science Engineering Technologies

Three fully funded PhD positions are available to work under the direction of prof. Stefan Manegold on big data management technology with a particular focus on hardware-conscious data structures and algorithms in distributed and cloud environments as well as the integration of data mining and machine learning into large-scale data management systems.


CWI Database Architecture researchers awarded with best paper runner up award at SSDBM

CWI Database Architecture researchers awarded with best paper runner up award at SSDBM

Researchers of CWI's Database Architecture group have been awarded with a best paper runner up award at 29th International Conference on Scientific and Statistical Database Management (SSDBM 2017) in Chicago. The researchers received the award for their paper 'Multi Hypothesis CSV-parsing' by authors Till Döhmen, Hannes Mühleisen and Peter Boncz.

CWI Database Architecture researchers awarded with best paper runner up award at SSDBM - Read More…

Making a tedious search a breeze: parallel query execution in multi-core systems

Making a tedious search a breeze: parallel query execution in multi-core systems

When you request information from a huge database, you might want to grab a cup of coffee and sit back, because your request may take a while. How can we optimize searches for information, specifically in a multi-core processing unit? The answer may lie in parallel queries, which run simultaneously on different processors.

Making a tedious search a breeze: parallel query execution in multi-core systems - Read More…

Current events

CIDR 2020

  • 2020-01-12T00:00:00+01:00
  • 2020-01-15T23:59:59+01:00
January 12 Sunday

Start: 2020-01-12 00:00:00+01:00 End: 2020-01-15 23:59:59+01:00

General information

The Conference on Innovative Data Systems Research (CIDR) is a systems-oriented conference, complementary in its mission to the mainstream database conferences like SIGMOD and VLDB, emphasizing the systems architecture perspective. CIDR was run every two years starting 2003, becoming the premier conference for practical data systems work. From 2020 on, the conference is organized every year, alternating between Amsterdam (even years) and the USA (odd years). The Amsterdam venue of the conference is the Mövenpick hotel on the waterfront of the Amsterdam city center.

CIDR will retain its characteristics, such as single-track keynote, paper and demo presentations by senior authors as well as evening sessions, including gong show, and plenty of time for interaction. CIDR gathers researchers and practitioners from both academia and industry to discuss the latest innovative and visionary ideas in the field. Papers are invited on novel approaches to data systems architecture and usage.

CIDR mainly encourages papers about innovative and risky data management system architecture ideas, systems-building experience and insight, resourceful experimental studies, provocative position statements. CIDR especially values innovation, experience-based insight, and vision. Authors are encouraged to submit their best systems work and are limited to submit at most two papers.


Conference Organization

General Chair

  • Anastasia Ailamaki, EPFL
  • Michael Stonebraker, MIT

Local Arrangement Chair

  • Stefan Manegold CWI

Program Committee Chairs

  • Peter Boncz, CWI
  • Jignesh Patel, University of Wisconsin-Madison
  • Thomas Neumann, TU Munich

Gong Show Organizer

  • Andy Pavlo, CMU

Website Chair

  • Ziawasch Abedjan, TU Berlin



Associated Members



Current projects with external funding

  • RelationalAI-CWI Research Agreement ()
  • Actian Research Grant II (ACTIAN II)
  • Cross-Industry Predictive Maintenance Optimization Platform (CIMPLO)
  • Data Mining on High Volume Simulation Output (DAMIOSO)
  • Research agreeement CWI - Databricks - vervolg contract (None)
  • Process mining for multi-objective online control (PROMIMOOC)
  • Structure-aware Querying & Information Retrieval on Evolving Large Graphs (SQIREL-GRAPHS)

Related partners

  • Actian Corporation
  • BMW Munich
  • Databricks
  • LIACS Institute
  • MonetDB B.V.
  • Neo Technology AB
  • OBI4wan B.V.
  • RelationalAI
  • Spinque
  • Tata Steel
  • WizeNoze B.V.