Organizations today are increasingly looking to combine analytics and AI to accelerate insights and decision-making. Amazon Quick, a unified agentic AI-powered analytics and decision intelligence service, brings together data visualization, natural language interaction, and agent-driven automation in a single, governed experience. With this, business users can explore data, generate insights, and take action without requiring specialized machine learning (ML) expertise.
At the same time, modern data architectures are evolving toward scalable data lakes built on open table formats such as Apache Iceberg, which offer improved performance, cost efficiency, and governance. However, analyzing large-scale data often requires moving it into data warehouses or OLAP systems, introducing latency, added cost, and operational complexity. Although existing query modes—such as Direct Query and SPICE (Super-fast, Parallel, In-memory Calculation Engine) with data warehouses…
