TDengine is a next generation data historian purpose-built for Industry 4.0 and Industrial IoT. It enables real-time data ingestion, storage, analysis, and distribution of petabytes per day, generated by billions of sensors and data collectors. With TDengine making big data affordable and accessible, digital transformation has never been easier. TDengine Cloud delivers all features of TDengine as an enterprise-ready, fully managed cloud service. This comprehensive data platform allows you to focus on solving business needs by freeing them from operations and maintenance, and reducing system complexity and operational costs by providing features such as time series DB, caching, stream processing and data subscription in one integrated platform.

TDengine Cloud is very developer friendly and supports connectors in Python, Java, Go, Rust and Node.js. Combined with a RESTful API, developers are free to develop in their language of choice. With SQL support as well as support for schema-less data ingestion, TDengine Cloud is adaptable to the needs of all developers.

For Industry 4.0 use cases, TDengine provides a connector to stream and backfill data from Aveva PI system or other data historians; interfaces for OPC-UA, OPC-DA, MQTT broker, and Kafka; and a data replication interface to replicate data between instances of TDengine, with only a simple configuration.

TDengine Cloud also provides additional functions specifically for time series analysis, like time weighted average, rate of change, cumulative sum, moving average, interpolation, session windows, state windows, event windows and many more. In addition, TDengine can be integrated with many advanced analytics and visualization tools like Power BI and Grafana.

TDengine Cloud is available in AWS public cloud in several regions. TDengine Cloud uses a straightforward, fixed cost pricing model, based on compute and storage sizes.