InfluxDB uses particular terms to describe the various components of time-series data, and the techniques used to categorize this data to make InfluxDB unique.
InfluxDB organizes data by database, time series, and point of events. The database is quite similar to other traditional databases such as MySQL, Oracle, and PostgreSQL. It is an organized collection of time-series data and retention policies. The point of events are similar to SQL rows.
The following table is a simple example of a table called tickers in a SQL database with the unindexed columns (close, high, low, open, and volume) and the indexed columns (ticker, company, and time):
The same data is shown in InfluxDB as follows:
By comparing ...
