TSBS exam effects exhibit that TDengine presents major rewards around InfluxDB and TimescaleDB in information ingestion, compression, and query general performance.

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High Overall performance: TDengine is the sole time-sequence database to unravel the substantial cardinality concern to support billions of data collection points though out performing other time-series databases for knowledge ingestion, querying and info compression.

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Data writes can only be executed around the master, but queries could be executed on the two the master and slave at the same time. When the learn node fails, the system mechanically selects a whole new master node and proceeds to supply solutions and makes sure higher availability.

Partitioning: As well as sharding the information, TDengine also divides time sequence info stored inside a vnode according to time periods. The data of each time frame has to be saved alongside one another, and the info of different time durations won't overlap. The time period is usually at some point or numerous times, and that is defined by the consumer. Dividing time collection data by time frame has numerous strengths. When querying details, the file to get searched can be instantly Positioned in accordance with the time period, thereby speeding up the question.

TDengine has obtained precisely the same or greater overall performance than other relational and NoSQL knowledge processing devices.

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Facts collectors attain metrics and send them for your database. This post introduces the 5 most effective collectors for time sequence knowledge.

Caching: TDengine constantly saves the final details position in cache, so Redis just isn't needed for time-series facts processing.

TDengine presents plentiful creating instruments for consumers to establish on TDengine. Adhere to the one-way links below to more info locate your desired connectors and applicable documentation.

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