Get streamlined, near-instant startup of SQL or Apache Spark analytics workloads with a serverless experience.
Build interactive, advanced analytics applications using data on-premises, in your data lake, or in cloud stores.
Gain flexibility with support for choice of language, open-data formats, open-source frameworks, and BI and machine learning (ML) tool integration.
Simple and predictable pricing – pay based on the queries you run or compute used.
With Amazon Athena in the next generation of Amazon SageMaker, you can simplify SQL-driven anlysis using an intuitive query editor--providing a unified environment to write, execute, and visualize queries. You can collaborate in real time by securely sharing results and workflows across your organization, accelerating time-to-insight.