Installing and Configuring TimescaleDB for Storing Audit Data

TimescaleDB is a time-series database that is built on top of PostgreSQL. It is designed to handle large amounts of time-series data and provide fast querying and aggregation capabilities. It is an open-source project and can be used on various platforms such as Linux, Windows and MacOS. One of the key features of TimescaleDB is its ability to scale horizontally. This means that as data grows, you can add more machines to the cluster, rather than upgrading a single machine, to maintain fast query performance. This is achieved by using a technique called “time-series partitioning” where the data is automatically partitioned based on the time interval. Another beneficial feature of TimescaleDB is its ability to handle large amount of data, it can handle Billion of rows, this is possible thanks to its hybrid storage engine, where the database uses disk-based storage for historical data, and RAM-based storage for recent data. This enables fast queries on recent data while still being able

TimescaleDB is a time-series database that is built on top of PostgreSQL. It is designed to handle large amounts of time-series data and provide fast querying and aggregation capabilities. It is an open-source project and can be used on various platforms such as Linux, Windows and MacOS. One of the key features of TimescaleDB is its ability to scale horizontally. This means that as data grows, you can add more machines to the cluster, rather than upgrading a single machine, to maintain fast query performance. This is achieved by using a technique called “time-series partitioning” where the dat