Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets.
Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning.
Start querying instantly
Pay per query
Open, powerful, standard
Fast, really fast
Movable Ink uses Amazon Athena to query seven years’ worth of historical data and get results in moments, with the flexibility to explore data for deeper insights.
Atlassian built a self-service data lake using Amazon Athena and other AWS Analytics services.
Upsolver is a data lake ETL service. It provides a visual, SQL-based interface for creating real-time tables in Athena with little engineering overhead and according to performance best practices. Upsolver's ETL also enables updates/deletes to tables in Athena for common CDC and compliance use cases.