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.
(June, 2017) Retrieved from:
https://aws.amazon.com/athena/.
| SIN | Product Number | GSA Price/Unit Includes IFF | Unit | Price Description | Product Description |
|---|---|---|---|---|---|
| 518210C | B6WHE3FUNCDQVVX4 | 4.9500000000 | Terabytes | Data scanned per query in Terabytes | US East (N. Virginia) Location OnDemand Athena Queries |
| 518210C | E24RR3GXPVGYBMFP | 4.9500000000 | Terabytes | Data scanned per query in Terabytes | US East (Ohio) Location OnDemand Athena Queries |
| 518210C | BE4MTCX7QUSVD6PE | 6.6825000000 | Terabytes | USD6.6825.0 per Terabytes for DataScannedInTB in US West (N. California) | US West (N. California) Location OnDemand Athena Queries |
| 518210C | WDJ89D3QKGNDVVCY | 4.9500000000 | Terabytes | Data scanned per query in Terabytes | US West (Oregon) Location OnDemand Athena Queries |