Amazon Athena
| Developer(s) | Amazon.com |
|---|---|
| Initial release | November 30, 2016[1] |
| Engine | |
| Operating system | Cross-platform |
| Available in | English |
| License | Proprietary |
| Website | aws |
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Amazon Athena is an ETL-like cloud service launched in November 2016 which allows serverless querying of AWS S3 content[2] using Presto with ANSI SQL support.[3]
Amazon Athena supports various data formats, such as CSV, TSV, and JSON, as well as open source columnar formats like Snappy and compressed formats like Zlib, LZO, and gzip.[4][5]
The release of Athena can be seen as filling a gap in the AWS cloud offering, particularly in relation to Google BigQuery, which was released in 2011.[6] While BigQuery and Athena leverage different underlying technologies (Dremel[7] and Presto[8]), they serve a similar purpose as serverless analytic services. It was not until Athena's release that AWS had a comparable product offering.
References
- ↑ "Introducing Amazon Athena: a pay-as-you-go interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL". Amazon Web Services, Inc.
- ↑ "What is Amazon Athena, an overview taken from re:Invent 2016". cloudacademy.com. 6 December 2016.
- ↑ "Amazon Athena". Amazon Web Services. Retrieved 7 March 2017.
- ↑ Houser, Matt (January 8, 2018). "Amazon Athena vs. Redshift - Skeddly". blog.skeddly.com.
- ↑ "Amazon Athena FAQs – Amazon Web Services (AWS)". Amazon Web Services, Inc.
- ↑ "Google opens BigQuery for cloud analytics". Retrieved 2018-01-22.
- ↑ Melnik, Sergey; Gubarev, Andrey; Long, Jing Jing; Romer, Geoffrey; Shivakumar, Shiva; Tolton, Matt; Vassilakis, Theo (2010). "Dremel: Interactive Analysis of Web-Scale Datasets".
- ↑ "Presto | Overview". prestodb.io. Retrieved 2018-01-22.
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