Um estudo sobre bancos de dados séries temporais

Abstract

With the increasing popularity of IoT (Internet of Things) platforms, there has also been an increase in the utilization of sensors, consequently leading to a higher volume of data produced by these sensors. Due to the large amount of data generated within specific time intervals (e.g., each second), relational databases may not be the best choice for storing this time series data, necessitating the adoption of NoSQL solutions. Even with these NoSQL database solutions, it has become necessary to create specific databases for storing this time series data. This work presents a study on time series databases. It explains the basic concepts of time series, the main characteristics and challenges of time series databases, and the primary applications and benefits of this type of system. It also explores some of the most popular and widely used time series databases today, such as InfluxDB and TimeScaleDB. Finally, the work proposes directions for future research in this area, which still presents many opportunities and challenges for the development of innovative and efficient solutions.