Apache Wayang is an API-first system designed to fully support cross-platform data processing. It enables users to run data analytics over multiple data processing platforms without changing the native code, enables platform agnostic apps.
Infinimesh is a multi-tenant and hyper-scale Internet of Things platform that connects IoT devices fast and securely with minimal TCO. It exposes MQTT and an API with both high-level (e.g., device shadow) and low-level (sending messages) concepts.
Apache Spark is an open-source distributed processing system used for big data workloads. It utilizes in-memory caching and optimized query execution for fast analytic queries against data of any size.
Apache Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. It can process unbounded and bounded data streams.
Apache Hadoop is an open-source software framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models, uniting multiple data tools.
Apache Impala is an open-source, native analytic database for Apache Hadoop. It provides low latency and high concurrency for BI/analytic queries on Hadoop, which is not delivered by batch frameworks such as Apache Hive.
TensorFlow is a platform for machine learning, TTF is made for federated TensorFlow. It supports distributed training, immediate model iteration and easy debugging with Keras, and much more.