Amazon Athena Agent
Run serverless queries across your S3 data lake with zero infrastructure management.
What it does
The Athena agent turns your S3 data lake into a conversational interface. Ask questions about data stored in Parquet, CSV, JSON, or ORC formats without provisioning any infrastructure. The agent handles partition pruning, format optimization, and cost-efficient query planning so your team gets answers from petabytes of data at a fraction of the cost.
Why a supervised agent — not a raw connector?
Key Capabilities
How It Works
Connect
Link your AWS account and specify S3 buckets and Glue catalogs. The agent maps your data lake.
Configure
Set query result locations, scan limits, and define which databases are accessible.
Ask
Users ask data questions from the Personal Assistant. The agent writes partition-aware queries and estimates cost before running.
Improve
Learns your table structures, common access patterns, and optimizes for scan reduction over time.
Use Cases
Analysts exploring raw event data in S3 without ETL pipelines
Security teams querying CloudTrail and VPC flow logs
Product teams analyzing clickstream data at scale
Cost-conscious teams needing ad-hoc queries without a running cluster
Invoked from your Personal AI Assistant
Users never interact with this agent directly. They ask a question through their Personal AI Assistant, and xpander routes it to the Amazon Athena agent automatically. The specialized agent handles execution within its constrained surface — validated, auditable, and isolated from every other system. One question in, structured answer out.