Amazon Athena
| Developer(s) | Amazon.com |
|---|---|
| Initial release | November 30, 2016[1] |
| Engine | |
| Operating system | Cross-platform |
| Available in | English |
| License | Proprietary |
| Website | aws |
Search Amazon Athena on Amazon.
Amazon Athena is an ETL-like cloud service launched in November 2016 which allows server-less[2] querying of AWS S3 content[3] using Presto with ANSI SQL support.[1][4]
Amazon Athena supports many data formats, such as CSV, TSV, and JSON and also supports open source columnar formats such as Snappy and compressed data formats such as Zlib, LZO, and gzip.[5][6]
The release of the Athena product can be seen as filling a gap in the AWS cloud offering, especially in relation to Google BigQuery which was released in 2011[7]. While BigQuery and Athena leverage different underlying technologies (Dremel[8] and Presto[9]), they are positioned in a similar capacity as serverless analytic services. It was not until the release of Athena that AWS had a comparable product offering to Google.
References[edit]
- ↑ 1.0 1.1 "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.
- ↑ "Artificial Intelligence and Hybrid Cloud Are High On Amazon's Agenda". Forbes.com. 30 November 2016. Retrieved 18 July 2018.
- ↑ "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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