Tiger Lake: A New Architecture for Real-Time Analytical Systems and Agents

Tiger Lake is a new architecture designed to unify real-time and historical data processing by integrating Postgres with the lakehouse, thus eliminating the need for complex pipelines and orchestration frameworks. Currently in public beta, Tiger Lake enables continuous, bidirectional data flow, supporting real-time applications, dashboards, and agentic systems by using open standards such as Apache Iceberg and Amazon S3 for storage. This architecture facilitates a seamless data loop where operational and analytical data coexist, allowing for dynamic, real-time data enrichment and serving. Companies like Speedcast, Lumia Health, and Pfeifer & Langen are adopting Tiger Lake to power their real-time analytical systems, benefiting from a simplified, resilient data plane that supports high-throughput ingestion and efficient data querying. The system is positioned as the foundation for intelligent workloads, offering scalability and continuous updates without the need for replatforming.

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