The Berlin Big Data Center (BBDC) is a Competence Centre funded by the German Federal Ministry of Education and Research lead by Technische Universität Berlin. During Phase 1 of the BBDC the consortium consisting of the Fritz Haber Institute of the Max Planck Society, the Beuth University of Applied Sciences Berlin and the German Research Center for Artificial Intelligence (DFKI) and the Konrad-Zuse-Centre for Information Technology (ZIB) developed scalable technology, which enable the deep analysis of Big Data

The BBDC strived to fuse the academic disciplines of machine learning and data management into scalable data analysis. The goal was to develop a declarative, highly-scalable open source system, which enables the specification, automatic optimization, parallelization and hardware adaptation as well as the fault-tolerant and efficient execution of different data analysis methods (e.g from machine learning, linear algebra, statistics, probability theory, computational linguistics and signal processing). This technology was validated in the three representative application domains materials science, healthcare and information market places. Furthermore, the BBDC supported innovation in companies and start-ups by means of knowledge and technology transfer.

In 2018 BBDC entered Phase 2. In January 2020, BBDC merged with the Berlin Center for Machine Learning (BZML) to form the Berlin Institute for the Foundations of Learning and Data (BIFOLD).