Tracing data are, by definition, high-cardinality data. For a time series database, cardinality can become a problem for data with unbounded values such as user IDs, IP addresses, and container IDs.

InfluxDB 3.0 delivers unlimited cardinality and high throughput with 10x the ingestion performance for continuous ingest, transformation, and analysis of billions of time series data points per second ...

The InfluxDB 3.0 release is supposed to solve this need, introducing support for unlimited cardinality, meaning it can process columnar data with an unlimited number of values.

According to the vendor, the rebuilt InfluxDB 3.0 core delivers high performance, including unlimited cardinality, high-speed ingest, real-time querying, and superior data compression through native ...

Science Tech Culture database Large Hadron Collider needed a new database system to sustain its petabyte-hungry experiments CERN's CMS detector was suffering from high cardinality issues ...

InfluxDB Clustered is an open source, distributed time-series database alternative to InfluxDB Enterprise that has been built on the company’s next-generation time-series engine that supports ...