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Outdated release! Latest docs are Release 8.7: Configure for AWS



The Trifacta® platform can be hosted within Amazon and supports integrations with multiple services from Amazon Web Services, including combinations of services for hybrid deployments. This section provides an overview of the integration options, as well as links to related configuration topics.

For an overview of AWS deployment scenarios, see Supported Deployment Scenarios for AWS.

Database Installation

The following database scenarios are supported.

Database HostDescription
Cluster node

By default, the Trifacta databases are installed on PostgreSQL instances in the Trifacta node or another accessible node in the enterprise environment. For more information, see Set up the Databases.

Amazon RDS

For Amazon-based installations, you can install the Trifacta databases are installed on PostgreSQL instances on Amazon RDS. For more information, see Install Databases on Amazon RDS.

Base AWS Configuration

The following configuration topics apply to AWS in general.

You can apply this change through the Admin Settings Page (recommended) or

. For more information, see Platform Configuration Methods.

Base Storage Layer

NOTE: The base storage layer must be set during initial configuration and cannot be modified after it is set.

S3: Most of these integrations require use of S3 as the base storage layer, which means that data uploads, default location of writing results, and sample generation all occur on S3. When base storage layer is set to S3, the Trifacta platform can:

  • read and write to S3
  • read and write to Redshift
  • connect to an EMR cluster

HDFS: In on-premises installations, it is possible to use S3 as a read-only option for a Hadoop-based cluster when the base storage layer is HDFS. You can configure the platform to read from and write to S3 buckets during job execution and sampling. For more information, see Enable S3 Access.

For more information on setting the base storage layer, see Set Base Storage Layer.

For more information, see Storage Deployment Options.

AWS Mode

When connecting to AWS, the platform supports the following authentication methods:

"aws.mode": "system",

Access to AWS resources is managed through a single account. This account is specified based on the credential provider method.

  • The instance credential provider method ignores this setting.

See below.

"aws.mode": "user",

AWS key and secret must be specified for individual users.

NOTE: The credential provider must be set to default. See below.

Credential Provider

The Trifacta platform supports the following methods of providing credentialed access to AWS and S3 resources.

This method uses the provided AWS Key and Secret values to access resources.

When you are running the Trifacta platform on an EC2 instance, you can leverage your enterprise IAM roles to manage permissions on the instance for the Trifacta platform

Default credential provider

Whether the AWS access mode is set to system or user, the default credential provider for AWS and S3 resources is the Trifacta platform

"aws.mode": "system",

A single AWS Key and Secret is inserted into platform configuration. This account is used to access all resources and must have the appropriate permissions to do so.


"aws.s3.key": "<your_key_value>",
"aws.s3.secret": "<your_key_value>",
"aws.mode": "user",
Each user must specify an AWS Key and Secret into the account user profile to access resources.For more information on configuring individual user accounts, see Configure Your Access to S3.

If you are using this method and integrating with an EMR cluster: 

  • Copying the custom credential JAR file must be added as a bootstrap action to the EMR cluster definition. See Configure for EMR.
  • As an alternative to copying the JAR file, you can use the EMR EC2 instance-based roles to govern access. In this case, you must set the following parameter:

    "aws.emr.forceInstanceRole": true,

     For more information, see Configure for EC2 Role-Based Authentication.

Instance credential provider

When the platform is running on an EC2 instance, you can manage permissions through pre-defined IAM roles. 

NOTE: If the Trifacta platform is connected to an EMR cluster, you can force authentication to the EMR cluster to use the specified IAM instance role. See Configure for EMR.

For more information, see Configure for EC2 Role-Based Authentication.

AWS Storage

S3 Sources

To integrate with S3, additional configuration is required. See Enable S3 Sources.

Redshift Connections

You can create connections to one or more Redshift databases, from which you can read database sources and to which you can write job results. Samples are still generated on S3.

NOTE: Relational connections require installation of an encryption key file on the Trifacta node. For more information, see Create Encryption Key File.

For more information, see Create Redshift Connections.

AWS Clusters

Trifacta Wrangler Enterprise can integrate with one instance of either of the following. 

NOTE: If Trifacta Wrangler Enterprise is installed through the Amazon Marketplace, only the EMR integration is supported


When Trifacta Wrangler Enterprise in installed through AWS, you can integrate with an EMR cluster for Spark-based job execution. For more information, see Configure for EMR.


If you have installed Trifacta Wrangler Enterprise on-premises or directly into an EC2 instance, you can integrate with a Hadoop cluster for Spark-based job execution. See Configure for Hadoop.

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