What are Time Series Databases?
A Time Series Database (TSDB) is a software tool that works best with time series data, the data arranged in the form of numbered arrays indexed by time. A time series is only a sequence of ordered data that are recorded over time. In this case, the independent axis is the axis of time, and the purpose is generally to make predictions about the future
Time series databases are made with the purpose of efficiently collecting, storing, and querying a variety of time series with related data. They are to be configured for statistics that change at a time — as in the room temperature or the CPU usage of the computer.
These databases are well-suited for watching systems because they can monitor the progress of such changes, which is very significant for monitoring applications. On the other hand, the TSDB may be applied for the monitoring of computer network performance over time and it can be used for tracking parameters like network latency, traffic volume, and error rates.
IoT devices produce multiple sequences of data. As an example, your smart home thermostat might document the temperature every 1 second. This data will be timestamped and will be saved into a TSDB. Then you may have the database and run a query to see how the temperature of your home varies during the day.
How to Choose a Scalable Open Source Time Series Database
In today’s world, we use a lot of devices and systems that generate a ton of data over time. For example, think about the weather reports you see every day, the steps counted by your fitness tracker, or the information about how many people visit a website. All of this data is called time series data because it’s recorded with a timestamp, showing when each piece of information was collected.