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SQL-based interfaces optimized for querying time-stamped datasets.
Distinguishing note: Focuses on SQL support for time-series, distinct from proprietary query languages.
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TDengine is a distributed time-series database designed for the high-speed ingestion, compression, and retrieval of timestamped metrics and sensor data. It functions as a SQL-compatible analytics engine, allowing users to perform complex operations on massive volumes of time-ordered information using standard relational syntax. The platform is built to serve as a backend foundation for industrial IoT environments, managing real-time data streams and device metadata through a cluster-based architecture. The system distinguishes itself through a distributed sharding architecture that uses consi
Supports querying time-series data using standard SQL syntax to perform analysis and retrieve metrics.