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Databases that allow data storage without enforcing a rigid schema at the time of ingestion.
Distinguishing note: Focuses on the storage model, distinct from schema-agnostic ingestion pipelines.
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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
Records information without defining a rigid structure beforehand to maintain flexibility.