Postgres has evolved into a versatile database over the last two decades. However, today's applications often require handling high-performance workloads and real-time analytics. TimescaleDB shines in this area by empowering developers to address both their relational and real-time analytics needs within the trusted Postgres platform. The hybrid row-columnar storage engine, hypercore, allows TimescaleDB to automatically handle high-speed ingestion of new data and efficient querying of large datasets while maintaining flexibility and performance for real-time workloads. Key capabilities of hypercore include chunk micro-partitions, SIMD vectorization, skip indexes, and compression.