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Database Systems and Information Management


Prof. Dr. Volker Markl


Technische Universität Berlin
Einsteinufer 17, 10587 Berlin

Big Data, Data Streaming, Distributed Data


The Distinguished Research Group led by Prof. Dr. Volker Markl addresses the human and technical latencies prevalent in the data analysis process. This entails simplifying the specification of data analysis programs via the automatic distribution, parallelization and hardware adaptation of data processing operations to reduce the human latency and thereby increase programmer productivity. This includes:

  • devising intelligent data processing algorithms,
  • exploiting novel advances in computer architecture (processing, network, storage),
  • building efficient data management, data science, and machine learning technologies as well as systems, to reduce the technical latency and thereby increase execution efficiency and throughput.

April 29, 2024

BIFOLD papers accepted at the CVPR and ESWC 2024

The BIFOLD research project "Unified Processing Model for Distributed Stream Reasoning" released two preprints on Open Distributed Systems, which will be presented at the CVPR 2024 and ESWC 2024 conferences.

Orji Joseph / unsplash
April 22, 2024

“POLAR” lowers the adoption barrier for adaptive query processing in database systems

A preprint by BIFOLD researchers titled "POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance" is set to be presented at the VLDB conference in 2024. The database engineering paper introduces a technique for reordering joins that is adaptive, with a focus on non-invasive integration and low overhead. 

March 25, 2024

EDBT conference 2024

The EDBT conference 2024 took place from March 25 to 28. BIFOLD researchers presented three papers at this Core-A conference on databases: "Benchmarking Stream Join Algorithms on GPUs: A Framework and its Application to the State of the Art", "Bridging the Gap: Complex Event Processing on Stream Processing Engines", and “Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings”. 

Lennart Behme Bifold researcher

Lennart Behme

Doctoral Researcher

Haralampos Gavriilidis

Doctoral Researcher

Kajetan Maliszewski Bifold researcher

Kajetan Jeremi Maliszewski

Doctoral Researcher

Adrian Michalke

Doctoral Researcher

Dwi Nugroho Bifold Researcher

Dwi Nugroho

Doctoral Researcher

Rudi Poepsel Lemaitre

Doctoral Researcher

Nils Schubert

Doctoral Researcher

Taha Tekdogan

Doctoral Researcher

Kindly take note that only researchers who have received funding from BIFOLD have their individual profiles displayed on