TimescaleDB is a time-series database built on top of Postgres, designed to manage all types of time-series data and improve insert rates by 20x over vanilla Postgres. It offers flexible timestamp options, including microsecond or nanosecond granularity, and supports various use cases such as aggregating "day" aggregates across different time zones. TimescaleDB also provides optimized performance for chunk creation, supports updates and upserts, and has a community-driven Slack channel for users to ask questions and share knowledge. By leveraging Postgres as a general data platform, TimescaleDB aims to simplify time-series data management and analytics without sacrificing scalability or referential integrity.