Accesses Amazon’s Athena service to run queries on S3 datasets.

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How does it work?

The AmazonAthenaConnector uses your Amazon AWS account credentials to access the Athena service, either via a previously defined FME web connection, or by setting up a new FME web connection in the transformer.


AWS charges for the following:

  • The amount of data scanned. All data is scanned for every query, unless the underlying data supports columnar storage.
  • The storage of the source data in S3.
  • The storage of the results of each query in S3, which is not cleaned up by FME.

More information on pricing:

The Amazon Athena reader will not typically be an efficient way to retrieve entire datasets from S3 as it is intended for retrieving subsets of datasets.


Input Ports

Output Ports


Editing Transformer Parameters

Using a set of menu options, transformer parameters can be assigned by referencing other elements in the workspace. More advanced functions, such as an advanced editor and an arithmetic editor, are also available in some transformers. To access a menu of these options, click beside the applicable parameter. For more information, see Transformer Parameter Menu Options.

Defining Values

There are several ways to define a value for use in a Transformer. The simplest is to simply type in a value or string, which can include functions of various types such as attribute references, math and string functions, and workspace parameters. There are a number of tools and shortcuts that can assist in constructing values, generally available from the drop-down context menu adjacent to the value field.

Dialog Options - Tables

Transformers with table-style parameters have additional tools for populating and manipulating values.


Processing Behavior


Feature Holding



Amazon Web Services account




Released FME 2019.2

FME Community

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Examples may contain information licensed under the Open Government Licence – Vancouver and/or the Open Government Licence – Canada.