At the end of the ["Time series databases" section of "Introduction to time series"]({{<relref"timeseries.md#time-series-databases">}}), the concept of _labels_, also called _tags_, is introduced:
In [Introduction to time series]({{<relref"timeseries.md#time-series-databases">}}), the concept of _labels_, also called _tags_, is introduced:
> Another feature of a TSDB is the ability to filter measurements using _tags_. Each data point is labeled with a tag that adds context information, such as where the measurement was taken. ...
> Another feature of a TSDB is the ability to filter measurements using _tags_. Each data point is labeled with a tag that adds context information, such as where the measurement was taken.
With time series data, the data often contain more than a single series, and is a set of multiple time series. Many Grafana data sources support this type of data.
With time series data, the data often contain more than a single series, and is a set of multiple time series. Many Grafana data sources support this type of data.