Time Series databases differ from the traditional SQL databases in that they mainly store couples of timestamp + numeric value lists. Of course, the TSDB (Time Series Database) is expected to store large amounts of this times data.
One time series can visually be represented by a curve. That series of timed values represents any one immutable point of measurement.
Note that each immutable point of measurement is uniquely identified into the TSDB by a tag made of readeable characters. More on this subject here, please go on reading.
The IOT technologies bring a lot of new possibilities and call for more and more TSDB instances. The IOT market contributes to the strong increase in TSDB market.
TSDB has been used by the Utilities industries for deacades. TSDB, also called Historian, in the specific Utilities market can be found as :
New players are emerging such as :
Kairosdb (based on Cassandra)
GridDB (open source)
All these TSDB solutions create a path for IngeniBridge to build the business and operational value on top of them.
The TSDB spreads in two directions.
The vertical direction holds the time depth and the timestamped acquired values. The higher the time frequency of acquisition, the bigger the TSBD.
The wide direction holds every point of measurement (Time Series unique TAG reference). These can be hundreds of thousands and even millions.
All this can become huge...
In this Big Data universe, correlating the times series can easily become a nightmare. IngeniBridge software solution was created to address this crucial concern.