NebulaStream supports the execution of thousands of queries over millions of sensors.
NebulaStream detects and reacts to changes in the underlying topology without impacting query processing.
NebulaStream supports rich workloads beyond classical stream processing (e.g., geo-spatial analytics, complex-event processing, and machine learning).
NebulaStream compiles queries into highly efficient code, which increases hardware utilization and reduces energy consumption significantly.
NebulaStream supports rich stateful operations that take event ordering into account and provide different levels of guarantee.
NebulaStream supports a wide range of devices including different varying (e.g., ARM, x86) and accelerators (e.g., GPUs, TPUs).
We offer a variety of research positions, for PostDocs, PhD Students, Student Assistants and Bachelor/Master theses.
Topics include all aspects of the IoT: query compilation, query optimization, query processing, query languages, distributed data processing, complex-event processing, machine learning, signal processing, sensor networks, fog computing, temporal-spatial query processing, transactional data processing, modern hardware and many more.
Database Systems and Information Management (DIMA) Group Technische Universität Berlin
Sek. E-N 7, Room E-N 728
+49 30 314 23555 nebulastream(at)dima.tu-berlin.de