Redshift

This page outlines how to use the Redshift integration to create and manage your data warehouse in Cargo.

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it simple and cost-effective to analyze data using standard SQL. Cargo’s native integration with Redshift allows you to use it as your system of record—powering data models, plays, and automated workflows.

How to set up Redshift

Prerequisites

Before connecting Redshift to Cargo, ensure you have:

• An active Amazon Redshift cluster
• Network connectivity between Cargo and your Redshift cluster
• A dedicated schema and user for Cargo
• Proper IAM permissions and database credentials

Connection details

To set up the connection, provide the following details when creating the connector:

Field	Description
Host	Your Redshift endpoint (e.g., cluster-id.region.redshift.amazonaws.com)
Port	Default is 5439
Database	Your database name
Username	The Cargo service user (e.g., cargo_user)
Password	The user’s password

Find your Redshift endpoint in the AWS Console under Redshift → Clusters → Your Cluster → General information.

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Redshift actions

Once connected, you can use Redshift in your workflows with the following actions:

Insert

Insert new records into a Redshift table.

Configuration

Field	Description
Schema	The Redshift schema containing the target table
Table	The table to insert data into
Mappings	Map columns to values using expressions

Use cases

• Lead capture – Insert new leads from form submissions or enrichment workflows
• Event logging – Record workflow events and outcomes
• Data aggregation – Store computed results for reporting

Update

Update existing records in a Redshift table based on a matching column.

Configuration

Field	Description
Schema	The Redshift schema containing the target table
Table	The table to update
Matching Column	The column to match records against
Matching Value	The value to match (supports expressions)
Mappings	Map columns to new values using expressions

Use cases

• Data enrichment – Update records with enriched data from external sources
• Status updates – Mark records as processed or update stages
• Sync external changes – Keep Redshift in sync with CRM or other systems

Upsert

Create new records or update existing ones based on a matching column.

Configuration

Field	Description
Schema	The Redshift schema containing the target table
Table	The table to upsert into
Matching Column	The column to match records against
Matching Value	The value to match (supports expressions)
Mappings	Map columns to values using expressions

Use cases

• Data sync – Keep your warehouse updated regardless of whether records exist
• Idempotent operations – Safely retry operations without creating duplicates
• Master data management – Maintain a single source of truth

Delete

Delete records from a Redshift table based on a matching column.

Configuration

Field	Description
Schema	The Redshift schema containing the target table
Table	The table to delete from
Matching Column	The column to match records against
Matching Value	The value to match (supports expressions)

Use cases

• Data cleanup – Remove outdated or invalid records
• GDPR compliance – Delete personal data on request
• Workflow automation – Remove processed records from staging tables

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Redshift data models

Cargo allows you to create data models on top of your Redshift data that can be used to trigger Plays and power workflows.

Creating Redshift data models

To create a Redshift data model:

1. Navigate to Data Models in Cargo
2. Click Create data model
3. Select Redshift as the source
4. Configure the following fields:

Field	Description
Name	Choose a descriptive name for your model
Slug	Set a unique identifier that cannot be changed once created
Schema	Select the Redshift schema containing your data
Table	Select the table or view to model
ID Column	The column containing unique record identifiers
Title Column	The column to display as the record title
Cursor Column	(Optional) Column for incremental syncing (date or number)

Using Redshift data models

Once created, your Redshift data model can be used to:

• Trigger Plays – Start automated workflows when data changes
• Power enrichment – Use Redshift data to enrich records in workflows
• Create segments – Filter and target specific records from your data

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Network configuration

If you restrict access to your Redshift cluster, add these Cargo IP addresses to your security group or VPC whitelist:

• 3.251.34.134
• 54.220.135.99
• 79.125.105.52

Update via AWS CLI

aws ec2 authorize-security-group-ingress \
    --group-id sg-your-security-group-id \
    --protocol tcp \
    --port 5439 \
    --cidr 3.251.34.134/32

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Security

• All Redshift connections are encrypted using SSL/TLS
• Credentials are securely stored and encrypted at rest
• Cargo uses dedicated user credentials with minimal required permissions
• Cargo never overwrites existing tables—it always creates its own