You can connect with virtually any data source whether structured, unstructured or streaming. With our pluggable connector architecture, you can plug in real time, near real time and windowed sources easily. From IoT devices to chat logs, from sensors to server logs wide range of sources can be ingested easily and made available to the analysis engine.
You can develop massively parallel Complex Event Processing (CEP) pipelines easily. Range of different analytics options are available from statistical methods to the newest deep learning algorithms. You can easily utilize different deep learning frameworks such as Tensorflow, Caffee, Thorch, Theano and MXNet.
Every component is built on industry standard battle tested proven technologies. Integrated with Hadoop and related product family around it, Hattusa platform is ready to scale as big as you it to be. The industry standard technologies ensure that your data is never locked in a proprietary platform and easy to integrate your custom solutions around the Hattusa Framework.
Built on distributed technologies and big data platforms, real time and near real time analytics computations can scale up and down depending on the needs of the problems. Time series analysis, non-quantitative data analysis, clustering and grouping analysis, image processing and many other statistical and deep learning algorithms can be pipelined and executed easily in a very scalable platform.