TDB
Tensor-centric execution for SQL, subgraph, and graph analytics over GPU and heterogeneous runtimes.
TDB is a unified GPU- and NPU-oriented query engine direction for SQL queries, subgraph queries, and graph analytic workloads built on top of tensor-computation runtimes such as PyTorch.
By relying on a highly optimized, cross-platform tensor runtime backend, it aims to make database-style workloads run naturally on heterogeneous hardware rather than treating accelerators as an afterthought.
The broader research question is how to close the gap between traditional database operators and accelerator-native execution so the same system can support relational processing, vector operations, and graph workloads without building separate engines for each.