TimescaleDB in 100 Seconds

The video introduces TimescaleDB, a database built on Postgres, optimized for time-based workloads. It explains how TimescaleDB uses hypertables to improve data ingestion and query performance, making it ideal for applications handling large volumes of time-stamped data. The video also covers setting up TimescaleDB locally or on the cloud, and provides a practical example of its application. Advanced features like vector database capabilities are discussed, highlighting TimescaleDB's versatility and speed.

How does Timescale DB maintain full SQL support while optimizing for time series data?

What is the significance of combining Timescale DB with open source tools like PGAI and PG vector scale?