Analyze petabyte-scale data where it lives with ease and flexibility
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.
How it works
Amazon Athena is a serverless, interactive analytics service built on open-source frameworks, supporting open-table and file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. Analyze data or build applications from an Amazon Simple Storage Service (S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python. Athena is built on open-source Trino and Presto engines and Apache Spark frameworks, with no provisioning or configuration effort required.
Run queries on S3, on premises, or on other clouds
Submit a single SQL query to analyze data in relational, nonrelational, object, and custom data sources running on S3, on premises or in multicloud environments.
Prepare data for ML models
Use ML models in SQL queries or Python to simplify complex tasks, such as anomaly detection, customer cohort analysis, and sales predictions.
Build distributed big data reconciliation engines
Deploy a reconciliation tool with an engine built for the cloud to validate vast amounts of data effectively at scale.
Perform multicloud analytics
Query Azure Synapse Analytics data and visualize the results with Amazon QuickSight.
How to get started
Access a data-querying tutorial
Learn how to start querying data with Athena.
Get your Athena questions answered
Read more about how to use Athena.
Check out what’s new with Athena
Explore the latest features and what’s next for the service.