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Prof. Dr. Tilmann Rabl


University of Potsdam

August-Bebel-Str. 88, D-14482 Potsdam

Prof. Dr. Tilmann Rabl


Fellow | BIFOLD

Professor | Hasso Plattner Institute, University of Potsdam

Tilmann Rabl holds the chair for Data Enineering Systems at the Hasso Plattner Institute and is Professor at the Digital Engineering Faculty of the University of Potsdam. He is also cofounder and scientific director of the startup bankmark. Tilmann Rabl received his PhD at the University of Passau in 2011. He spent 4 years at the University of Toronto as a postdoc in the Middleware Systems Research Group (MSRG). From 2015 to 2019, he was senior researcher and visiting professor at the Database Systems and Information Management (DIMA) group at Technische Universität Berlin and Vice Director of the Intelligent Analytics for Massive Data (IAM) Group at the German Research Center for Artificial Intelligence (DFKI).

2019 BTW Winner Data Science Challenge
2019 EDBT Best Paper Award
2017 EDBT Best Demo Award
2015 Weconomy Award
2015 IBM CAS Research 2015 Fellowship (Canada)
2014 IBM CAS Research 2014 Fellowship (Canada)
2014 IKT Innovativ Gründerpreis
2013 MITACS Elevate Postdoctoral Fellowship Award (Canada)
2013 IBM CAS Research 2013 Fellowship (Canada)
2013 EXIST Start-Up Award
2013 Runner-Up for Best Industry Paper Award, ICPE ’13
2012 SPEC Distinguished Dissertation Award – Honorable Mention
2012 Best DEBS Challenge Award – Public Voting, DEBS ’12
2011 Technical Contribution Award, TPC

  • Data Engineering
  • Big Data
  • Stream Processing
  • Databases
  • Benchmarking

  • ACM
  • GI

Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl

Rethinking Stateful Stream Processing with RDMA

June 11, 2022

Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

Triton Join: Efficiently Scaling the Operator State on GPUs with Fast Interconnects

June 11, 2022

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Zoi Kaoudi, Tilmann Rabl, Volker Markl

Materialization and Reuse Optimizations for Production Data Science Pipelines

June 11, 2022

Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds?

June 01, 2022

Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaž Kosar, Alexander Krause, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pınar Tözün, Wojciech Ulatowski, Yuanyuan Wang, Izajasz Wrosz, Aleš Zamuda, Ce Zhang, Xiao Xiang Zhu

DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines

January 09, 2022

BIFOLD Update| Aug 06, 2020

An overview of the current state of research in BIFOLD

Since the official announcement of the Berlin Institute for the Foundations of Learning and Data in January 2020, BIFOLD researchers achieved a wide array of advancements in the domains of Machine Learning and Big Data Management as well as in a variety of application areas by developing new Systems and creating impactfull publications. The following summary provides an overview of recent research activities and successes.

Data Management| Jul 01, 2020

TU Berlin master’s student wins 2nd place at the SIGMOD 2020 Student Research Competition

TU Berlin’s student Hendrik Makait reached the 2nd place at the ACM SIGMOD 2020 Student Research Competition at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data with his paper “Rethinking Message Brokers on RDMA and NVM”. This is a joint work with the Data Engineering Systems Group at the Hasso Plattner Institute in Potsdam led by Prof. Rabl.

Data Management| May 22, 2020

BIFOLD researchers receive SIGMOD 2020 best paper award

Database systems researchers at TU Berlin, HPI and DFKI were highly successful this year. Four of their papers were accepted at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data. And, in particular, one of the paper’s received the 2020 ACM SIGMOD Best Paper Award. The paper entitled “Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects,” by Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl (now at HPI), and Volker Markl explores the use of GPUs to accelerate database query processing.

Data Management| Apr 14, 2020

Three papers presented at EDBT 2020

Researchers in TU Berlin’s Database Systems and Information Management (DIMA) Group and DFKI’s Intelligent Analytics for Massive Data (IAM) Group presented three systems papers at EDBT 2020, the 23rd International Conference on Extending Database Technology, held from March 30 to April 2. Originally planned to take place in Copenhagen, Denmark, this year’s EDBT conference was held online instead.

Data Management| Mar 24, 2020

Four papers authored by TU Berlin and DFKI researchers have been accepted at SIGMOD 2020

Data management systems researchers in the Database Systems and Information Management (DIMA) Group at TU Berlin and the Intelligent Analytics for Massive Data (IAM) Group at DFKI (the German Research Institute for Artificial Intelligence) were informed that their papers have been accepted at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data.