Data infrastructure is a huge investment for industrial enterprises and not one that can be “ripped and replaced” on a whim. As your business grows, it’s likely that new sites will be brought online that use different platforms or protocols, making it difficult to obtain company-wide data — different systems, different data structures, even different units of measurement can all be serious challenges for operations teams. For that reason, it’s important that your data centralization solution support a wide variety of data sources.
Unlike other time-series databases, TDengine is purpose-built for industrial scenarios and include built-in connectors for systems commonly used in plants today. Say goodbye to hacked-together solutions and manual export of data — TDengine can ingest real-time and historical data from modern industrial protocols, data collectors, traditional historians, and more. In addition, TDengine can easily import and parse CSV files with advanced ETL options just like other data sources.
Industrial Data Protocols
TDengine can ingest and store data from multiple MQTT 3.1, 3.11, and 5.0 sources, including popular brokers like HiveMQ and Mosquitto. A major advantage of using TDengine as a unified platform for MQTT data is that ETL can be performed on the platform side for multiple brokers and sites. To learn more, see MQTT in TDengine.
TDengine is compatible with OPC UA and OPC DA servers such as Matrikon. OPC can facilitate more integrated and efficient industrial operations and help build scalable, flexible, and secure automation systems. To learn more, see OPC in TDengine.
Data Collectors and Event Stores
TDengine can synchronize data from one or more Kafka topics in real time or in batches. To learn more, see Kafka Data Source.
TDengine can ingest data being collected by Telegraf. Telegraf is an open-source metrics collection utility that can record operations information without having to write scripts. To learn more, see Telegraf.
Traditional Data Historians
TDengine provides a powerful extension of PI System that brings your data into a modern, open ecosystem without having to rip and replace your existing PI deployments. To learn more, see TDengine for PI System.
Building on the solid foundation of Wonderware Historian, TDengine overcomes performance limitations by centralizing data into a unified high-performance platform and integrates with an open ecosystem of components while allowing you to retain your current Wonderware setup. To learn more, see TDengine for Wonderware Historian.