Data Management

The Data Management Lab was founded in 2017 by Prof. Carsten Binnig and is part of the Department of Computer Science at TU Darmstadt in Darmstadt, Germany.
TU Darmstadt is one of the leading technical universities in Germany. Its Computer Science department consistently ranks among the top 5 in Germany. TU Darmstadt offers a unique environment for research in data management due to strong cooperations with other groups like the Machine Learning Lab or Distributed Systems Programming Lab, as well as ample interdisciplinary interaction.
Our lab page lists all team members. Please see our job listings if you are interested in working with us.
Research
We conduct research in several areas of databases and data management in conjunction with artificial intelligence (AI). The groups main focus areas are Systems for AI and AI for Systems.
Teaching
Our lab regularly offers courses, seminars and labs on various data management topics. Furthermore, we offer term projects and Bachelors and Masters thesis projects with different focus areas.
News
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2022/06/20
Two papers accepted on Learned Stream Processing at the 16th ACM International Conference on Distributed and Event-Based Systems (DEBS) 2022
Roman Heinrich and Manisha Luthra will present their work at the conference to be held from 27th June – 30th June in Copenhagen Denmark.
We congratulate them on these acceptances! go
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2022/06/12
We are at ACM SIGMOD/PODS 2022
Members of our group present their work at the conference and the workshops -- catch up on site or online
We are glad to be in Philly -- and brought talks, demos and posters over several topics with us: go
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2022/05/02
Paper on ML explanations accepted to HILDA 2022 workshop at ACM SIGMOD/PODS 2022
Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data
Nadja Geisler will present “Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data” at the HILDA 2022 workshops co-located with the International Conference on Management of Data 2022 in Philadelphia. go
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2022/03/07
Demo Paper on Ad-hoc Structured Text Exploration accepted to ACM SIGMOD/PODS 2022
Our demo paper "Demonstrating ASET: Ad-hoc Structured Exploration of Text Collections" by Benjamin Hättasch and Jan-Micha Bodensohn will be presented at the International Conference on Management of Data 2022 in Philadelphia
In this demo, we present ASET, a novel tool to explore the contents of unstructured data (text) by automatically transforming relevant parts into tabular form. go
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2021/12/15
Two papers on OLTP accepted in the first round of submissions for ACM SIGMOD/PODS 2022 International Conference on Management of Data
Nils Boeschen and Matthias Jasny will present their work at the International Conference on Management of Data in 2022
Both papers propose new systems to accelerate OLTP workloads: “GaccO – A GPU-accelerated OLTP DBMS” uses GPUs to execute transactions of single-node DBMSs, while “P4DB – The Case for In-Network OLTP” offloads transaction execution of distributed DBMSs into programmable switches. go