NebulaStream is a general purpose, end-to-end data management system for the IoT. It provides an out-of-the-box experience with rich data processing functionalities and a high ease-of-use.
NebulaStream is a joint research project being undertaken in the IoT-Lab at the Berlin Institute for the Foundations of Learning and Data
(BIFOLD).
The first contributors to NebulaStream are researchers from the
DIMA group at TU Berlin and the
DFKI IAM group.
We provide containers and prebuilt-binaries of NebulaStream. For an easy start, follow our tutorial.
TutorialWe invite you to contribute to NebulaStream. If you have further questions, please contact us.
Request Access Contact us on SlackNebulaStream 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, 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 architectures (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
Sekr. E-N 7, Room E-N 728
Einsteinufer 17
10587 Berlin
Germany
+49 30 314 23555
nebulastream(at)dima.tu-berlin.de