{"componentChunkName":"component---src-templates-markdown-template-jsx","path":"/guides/data-warehouse/composable-audiences/connections/redshift/","result":{"data":{"pageMetadata":{"title":"Amazon Redshift","path":"/guides/data-warehouse/composable-audiences/connections/redshift/","sourceCode":null,"metadataParent":{"title":"Connections","path":"/guides/data-warehouse/composable-audiences/connections/","sourceCode":null,"hasVersionPicker":null,"metadataChildren":[{"title":"Connections Overview","path":"/guides/data-warehouse/composable-audiences/connections/overview/","order":1,"label":null},{"title":"Google BigQuery","path":"/guides/data-warehouse/composable-audiences/connections/bigquery/","order":2,"label":null},{"title":"Databricks","path":"/guides/data-warehouse/composable-audiences/connections/databricks/","order":3,"label":null},{"title":"Amazon Redshift","path":"/guides/data-warehouse/composable-audiences/connections/redshift/","order":4,"label":null},{"title":"Snowflake","path":"/guides/data-warehouse/composable-audiences/connections/snowflake/","order":5,"label":null}],"metadataParent":{"title":"Composable Audiences","path":"/guides/data-warehouse/composable-audiences/","metadataChildren":[{"title":"Warehouse Setup Overview","path":"/guides/data-warehouse/composable-audiences/overview/","order":0.5,"label":null},{"title":"Connections","path":"/guides/data-warehouse/composable-audiences/connections/","order":1,"label":null},{"title":"Data Models","path":"/guides/data-warehouse/composable-audiences/data-models/","order":2,"label":null}],"metadataParent":{"title":"Data Warehouse","path":"/guides/data-warehouse/","metadataChildren":[{"title":"Composable Audiences","path":"/guides/data-warehouse/composable-audiences/","order":1,"label":null},{"title":"Warehouse Sync","path":"/guides/data-warehouse/warehouse-sync/","order":4,"label":null}],"metadataParent":{"title":"Guides","path":"/guides/","metadataChildren":[{"title":"Platform Overview","path":"/guides/platform-overview/","order":0.5,"label":null},{"title":"Getting Started","path":"/guides/getting-started/","order":1,"label":null},{"title":"mParticle Agent","path":"/guides/mparticle-agent/","order":1.5,"label":null},{"title":"Oversight","path":"/guides/oversight/","order":2,"label":null},{"title":"Data Platform","path":"/guides/data-platform/","order":3,"label":null},{"title":"Data Warehouse","path":"/guides/data-warehouse/","order":4,"label":null},{"title":"Customer 360","path":"/guides/customer-360/","order":5,"label":null},{"title":"Analytics","path":"/guides/analytics/","order":6,"label":null},{"title":"Audiences","path":"/guides/audiences/","order":7,"label":null},{"title":"Settings","path":"/guides/settings/","order":8,"label":null},{"title":"Troubleshooting mParticle","path":"/guides/troubleshooting/","order":10,"label":null},{"title":"Default Service Limits","path":"/guides/default-service-limits/","order":11,"label":null},{"title":"Glossary","path":"/guides/glossary/","order":12,"label":null}],"metadataParent":null}}}}},"markdownRemark":{"html":"

This guide explains how to connect your Amazon Redshift cluster to mParticle for Composable Audiences. The setup process is interactive: as you enter values in the mParticle UI form, the SQL snippets on the right-hand side will update. You’ll copy those snippets and run them in Redshift to configure the necessary resources.

\n

What you’ll need:

\n\n

What you’ll accomplish:
\nA configured connection that allows mParticle to securely query your Redshift data for building and managing Composable Audiences.

\n

\n \n \n \n \n \n \n \n Step 1: Begin creating the connection in mParticle

\n
    \n
  1. In the mParticle UI, go to Data Warehouse > Connections.
    2. \n
  2. Click + Add Connection and select Amazon Redshift.
    3. \n
  3. \n

    Enter the required fields:

    \n\n
    4. \n
\n

As you enter these values, the SQL snippets on the right-hand side of the mParticle UI will update, replacing the placeholders with the values you provide allowing you to easily copy and paste them into the AWS console for the steps in the next section.

\n

\n \n \n \n \n \n \n \n Step 2: Apply the generated SQL snippets in Redshift

\n

Follow the instructions displayed in the mParticle UI. For each step, copy the SQL provided in the UI and run it in your Redshift SQL client or AWS Console.

\n

\n \n \n \n \n \n \n \n 1. Create a new user and password for mParticle

\n
    \n
  1. In the AWS Console, navigate to your Redshift cluster details.
    2. \n
  2. \n

    Run the SQL snippet provided in the mParticle UI to create a dedicated Redshift user for mParticle.

    \n\n
    3. \n
\n

\n \n \n \n \n \n \n \n 2. Create a new IAM policy

\n
    \n
  1. In the Identity and Access Management (IAM) dashboard, select Policies from the left-hand navigation and click Create policy.
    2. \n
  2. In the policy editor, switch to JSON and paste the permissions provided in the mParticle UI.
    3. \n
  3. Click Next, give the policy a meaningful name (for example, mparticle_redshift_assume_role_policy), and click Create policy.
    4. \n
\n

\n \n \n \n \n \n \n \n 3. Create a new IAM role

\n
    \n
  1. In the IAM dashboard, go to Roles and click Create role.
    2. \n
  2. Under Trusted entity type, select AWS service.
    3. \n
  3. From the list of use cases, choose Redshift – Customizable.
    4. \n
  4. Continue to the permissions step, click Refresh, and select the policy you just created.
    5. \n
  5. In the final step, give the role a meaningful name (for example, mparticle_redshift_role) and click Create role.
    6. \n
\n

\n \n \n \n \n \n \n \n 4. Associate your IAM role with Redshift

\n

Your steps will differ depending on whether you use provisioned Redshift or Redshift Serverless.

\n

\n \n \n \n \n \n \n \n Amazon Redshift (Provisioned)

\n
    \n
  1. In the AWS Console, open your Redshift cluster details.
    2. \n
  2. Select the Properties tab, scroll to Associated IAM roles, and click Associate IAM roles.
    3. \n
  3. Select the role you created (for example, mparticle_redshift_role) and click Associate IAM roles.
    4. \n
\n

\n \n \n \n \n \n \n \n Amazon Redshift Serverless

\n
    \n
  1. In the AWS Console, open your Redshift namespace configuration.
    2. \n
  2. Select the Security & Encryption tab and click Manage IAM roles.
    3. \n
  3. Select the role you created (for example, mparticle_redshift_role) and click Associate IAM roles.
    4. \n
  4. Click Save changes.
    5. \n
\n

\n \n \n \n \n \n \n \n 5. Grant write access to the MPARTICLE schema

\n

Audiences require a dedicated schema named MPARTICLE to store temporary data and intermediate results. Copy the SQL snippet provided in the mParticle UI, paste it into your Redshift worksheet, replace the placeholders with the role name you created in the previous step, and click Run.

\n

This step ensures the mParticle user or IAM role has full data manipulation access (SELECT, INSERT, UPDATE, DELETE) within the MPARTICLE schema.

\n

\n \n \n \n \n \n \n \n Step 3: Complete the connection in mParticle

\n
    \n
  1. Return to the mParticle UI.
    2. \n
  2. Confirm the values you entered.
    3. \n
  3. Click Create Connection.
    4. \n
\n","frontmatter":{"title":"Amazon Redshift","order":4,"seoTitle":null,"seoDescription":null},"parent":{"__typename":"File","modifiedTime":"October 12, 2026"}}},"pageContext":{"slug":"/guides/data-warehouse/composable-audiences/connections/redshift/"}},"staticQueryHashes":["2950460867"]}