TimescaleDB, an open-source database extension for PostgreSQL, enhances time series data management while maintaining compatibility with the PostgreSQL ecosystem, allowing users to utilize functions like JSON indexes and relational tables. The integration of TimescaleDB with Grafana through the PostgreSQL query builder simplifies time series data exploration by offering a user-friendly visual query editor, which improves accessibility for users with varying SQL proficiency levels. Despite SQL's traditional limitations in scaling for time series data, TimescaleDB addresses these challenges by implementing a unique abstraction layer that partitions data into chunks based on time intervals, optimizing performance and enabling efficient data handling within memory. This approach allows TimescaleDB to support both relational and time series databases seamlessly, offering improved performance without significant degradation in data insertion rates. The enduring popularity of SQL, as evidenced by its widespread use among developers and business analysts, underscores the practical benefits of integrating SQL into time series monitoring systems, despite the traditional scaling concerns associated with SQL databases.