In a recent post on SIGARCH about Near Data Computing from a Database Systems Perspective written by Spyros Blanas, our work on resilient data storage and query processing is mentioned as an highlight and important future topic.


We are happy to announce that our paper “Beyond Straightforward Vectorization of Lightweight Data Compression Algorithms for Larger Vector Sizes” written by Johannes Pietrzyk, Annett Ungethüm, Dirk Habich and Wolfgang Lehner has been accepted at the GvDB-Workshop. Johannes Pietrzyk is currently writing his diploma thesis at our chair and summarized already some results for the GvDB-workshop.


Die Klausureinsicht zur Datenbankprüfung (Wiederholungsklausur im WS 17/18) wird am 11. April um 11:00 Uhr im Raum APB 3043 stattfinden.

Demo@SIGMOD 2018

We are happy to announce that our demo „Energy-Utility Function-Based Resource Control for In-Memory Database Systems LIVE“ has been accepted at SIGMOD 2018. This is a joint demo with the operating system group of Prof. Härtig.


We are happy to announce that our paper “Conflict Detection-based Run-Length Encoding — AVX512-CD Instruction Set in Action” written by Annett Ungethüm, Johannes Pietrzyk, Patrick Damme, Dirk Habich, and Wolfgang Lehner has been accepted at the joint ICDE workshop of HardBD and Active.

Database Systems meet Deep Learning

Im kommenden Sommersemester 2018 bieten wir ein Praktikum (Komplex-, Forschungs-, bzw. Masterpraktikum) zu einem neuen Ansatz an, der die Gebiete Datenbanksysteme und Deep Learning verbinden soll. Eine Beschreibung dazu findet ihr hier. Bei Interesse bitte bei Dirk Habich bzw. Claudio Hartmann melden.

DB-SyA Komplex- bzw. Forschungspraktikum im SS2018

Im kommenden Sommersemester bieten wir wieder ein spannendes SyA-Komplex- bzw. Forschungspraktikum an. Eine Beschreibung findet ihr hier: DB-SyA Praktikum.

Paper@DAS 2018

We are happy to announce that our paper “Table Recognitions in Spreadsheets via a Graph Representation” written by: Elvis Koci, Maik Thiele, Oscar Romero and Wolfgang Lehner has been accepted as full paper at DAS 2018.