TigerData has introduced Tiger Lake, an architectural layer that integrates the operational speed of Postgres with the analytical capabilities of lakehouses. This innovation allows for continuous, bidirectional data movement between operational databases and scalable cloud storage systems, eliminating the need for data duplication and complex pipelines. Tiger Lake enables real-time replication of Postgres tables into the lakehouse and synchronization of processed results back into Postgres. It is built into Tiger Postgres and enhanced by TimescaleDB, making it suitable for high-ingest, time-series data management. Tiger Lake is based on open standards, such as Apache Iceberg, allowing flexibility without vendor lock-in. It is currently in public beta, enabling users to stream data between Postgres and Iceberg-backed S3 storage, with future updates planned for enhanced querying and synchronization capabilities.