For Data Scientists

With TinyChain, data scientists can easily analyze live replicas of a production database, eliminating the need to copy entire tables and databases out of the platform which tracks and enforces ownership of the data. This also eliminates the need to maintain a separate platform (e.g. TensorFlow Serving) in order to serve models. TinyChain also allows the construction of stateful models, like a recurrent neural network (RNN) with a per-user state in memory, or a model which updates a database when it encounters an unexpected input.