How to Easily Migrate Your Data from NetSuite to Redshift?

Easily move your data from NetSuite to Redshift to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time. Check out our 1-minute demo below to see the seamless integration in action!

Data management and analysis are major operations for every organization. As the scale of data has increased over time, so have the methods to manage and analyze it. Companies spend thousands of dollars to generate useful insights from their in-house data, and managing data has become an essential part of the business process.

One way to manage large amounts of data is to migrate it from a company’s resource planning portal, like NetSuite, to a more suitable environment, such as a cloud data warehouse service provider like Amazon Redshift, where the data can be modeled properly.

This article will guide you on how to migrate your data from NetSuite to Redshift using different methods in a very easy-to-follow way.

A General Overview of NetSuite

Offered by Oracle Corporation, NetSuite is a cloud-based Enterprise Resource Planning (ERP) platform that provides multiple features to businesses of different scales. Some of the features include financial management, customer relationship management, inventory management, and many more.

NetSuite ERP allows you to plan your resources efficiently so that you can manage and monitor all the components of your business with regularly updated data on a single platform.

A General Overview of Amazon Redshift

Amazon Redshift is a cloud-based solution offered by Amazon Web Services (AWS) that provides data warehousing services. It can manage large volumes of data and perform high-performance analytics.

Redshift stores data in a columnar format so that it can be queried better by reading only the specific columns required for the analysis process. With its distributed architecture, Redshift allows parallel data processing, hence providing low latency.

One of the best benefits of using Redshift is that it is easy to integrate with other AWS services like Amazon S3 and Amazon QuickSight. This allows easy retrieval of data and analytics, helping generate useful insights from the data.

What are the Ways to Load your Data from Netsuite to Redshift?

There are two ways to move data from NetSuite to Redshift. 

1. Method 1: Hevo, which automates the entire pipeline once set up. 
2. Method 2: Manually exporting data from NetSuite as a CSV and loading it into Redshift 

The right choice depends on how often your data changes and how much manual effort your team can sustain.

Factor	Hevo (Automated)	Manual CSV Method
Setup time	5-10 minutes	2-4 hours
Technical skill required	Low (no-code)	Medium (AWS, SQL)
Sync frequency	Automatic, as low as 15 mins	Manual, each time
Incremental sync	Yes	No, full export every time
Schema changes handled	Automatically	Manually
Best for	Ongoing, production pipelines	One-time or infrequent migrations

Method 1: Using Hevo to Load Data from NetSuite to Redshift (No-Code)

Before you begin, keep these handy:

• Administrator access to your NetSuite account
• Your Redshift cluster host, port, database name, and credentials
• Token-Based Authentication (TBA) enabled in NetSuite

Step 1: Enable Token-Based Authentication in NetSuite

1. Go to Setup → Company → Enable Features
2. Click the SuiteCloud tab → Manage Authentication
3. Check Token-Based Authentication and click Save

Step 2: Create an Integration Record in NetSuite

1. Go to Setup → Integration → Manage Integrations → New
2. Name it (e.g., Hevo Integration), check Token-Based Authentication, and click Save
3. Copy the Consumer Key and Consumer Secret immediately — they won’t appear again

Step 3: Generate an Access Token

1. Go to Setup → Users/Roles → Access Tokens → New
2. Select your integration record, user, and role
3. Click Save and copy the Token ID and Token Secret immediately

Step 4: Connect NetSuite as Source in Hevo

1. In Hevo, click + Create Pipeline → NetSuite ERP
2. Enter your Account ID (found at Setup → Company → Company Information), Consumer Key, Consumer Secret, Token ID, and Token Secret
3. Click Test & Continue

You can go through the steps from Hevo Data’s official NetSuite ERP documentation for detailed information.

Step 5: Select Objects and Sync Frequency

1. Choose the NetSuite objects to sync (e.g., Transactions, Customers, Items)
2. Set your sync frequency (15 minutes recommended for near real-time analytics)
3. Click Continue

Step 6: Connect Redshift as Destination

1. Select Amazon Redshift as the destination
2. Enter your cluster Host, Port (5439), Database, Username, Password, and target Schema
3. Whitelist Hevo’s IP addresses in your Redshift security group if not already done
4. Click Test & Continue

For more detailed information on the connector, read Hevo’s Amazon Redshift connector documentation.

Step 7: Launch the Pipeline

1. Hevo runs an initial full load, then switches to incremental syncs automatically
2. Review the pipeline summary, enable Auto Mapping, and click Create Pipeline

Method 2: Manually Transferring Data from NetSuite to Redshift Using CSV Export/Import

Step 1: Export Data from NetSuite as CSV

1. Log in to your NetSuite account
2. Go to Setup → Import/Export → CSV Export
3. Select the Record Type you want to export (e.g., Customers, Transactions, Items)
4. Click Next, choose the fields you want to include, and click Export
5. Save the downloaded CSV file to your local machine

Note: Your user account must have the Administrator role to perform CSV exports.

Step 2: Upload the CSV to Amazon S3

1. Log in to the AWS Management Console and open Amazon S3
2. Open your target bucket (or create a new one) and click Upload
3. Click Add Files, select your NetSuite CSV file, and click Upload
4. Once complete, note down the S3 URI of your file (e.g., s3://your-bucket-name/your-file.csv) — you’ll need this in Step 5

Step 3: Create an IAM Role for Redshift

Redshift needs permission to read from your S3 bucket.

1. Open the IAM Console in AWS and click Roles → Create Role
2. Select AWS Service as the trusted entity and choose Redshift as the use case
3. Attach the AmazonS3ReadOnlyAccess policy and click Next
4. Name the role (e.g., RedshiftS3AccessRole) and click Create Role
5. Open the role you just created and copy its ARN (e.g., arn:aws:iam::123456789012:role/RedshiftS3AccessRole)
6. Now attach this role to your Redshift cluster: go to Amazon Redshift → Clusters → your cluster → Properties → Manage IAM Roles, add the role, and click Save

Step 4: Create a Table in Redshift

Before loading data, you need a table in Redshift that matches the structure of your CSV file.

1. Open the Redshift Query Editor (or connect via any SQL client like DBeaver)
2. Run a CREATE TABLE statement that matches your CSV columns. For example, if you exported Customers:

sql

CREATE TABLE netsuite_customers (

    customer_id     VARCHAR(50),

    company_name    VARCHAR(255),

    email           VARCHAR(255),

    phone           VARCHAR(50),

    created_date    DATE

);

Adjust the column names and data types to match your actual CSV headers.

Step 5: Load Data from S3 into Redshift Using COPY

1. In the Redshift Query Editor, run the COPY command with your actual S3 URI and IAM role ARN:

sql

COPY netsuite_customers

FROM ‘s3://your-bucket-name/your-file.csv’

IAM_ROLE ‘arn:aws:iam::123456789012:role/RedshiftS3AccessRole’

FORMAT AS CSV

IGNOREHEADER 1;

2. Replace netsuite_customers, the S3 URI, and the IAM role ARN with your actual values
3. Run the query. Redshift will load the CSV data directly from S3 into your table

Step 6: Verify the Data

Run a quick query to confirm the data loaded correctly:

sql

SELECT * FROM netsuite_customers LIMIT 10;

Check that row counts, column values, and data types look as expected.

Limitations of the Manual Method

• No automation: Every time your NetSuite data updates, you have to repeat this process manually
• Not suitable for large datasets: Exporting and uploading large CSVs is slow and error-prone
• Risk of data drift: Without scheduled syncs, your Redshift data quickly falls out of date with NetSuite

Use Cases of Migrating NetSuite to Redshift

NetSuite is built for managing business operations, not deep analytics. Moving your data to Redshift closes that gap. Here are the most common use cases:

• Financial Reporting: Run custom financial reports and connect to BI tools like Tableau or Looker, without being limited to NetSuite’s native report builder.
• Unified Analytics: Combine NetSuite data with your CRM, marketing, and support data in one place for cross-functional reporting across your entire business.
• Inventory Optimization: Analyze historical inventory trends, forecast stock requirements, and identify slow-moving items at a scale NetSuite’s reporting isn’t built for.
• Revenue Forecasting: Merge NetSuite’s transaction data with CRM pipeline data to build revenue forecasts based on actual closed revenue, not just estimates.

Conclusion

Your NetSuite data is only as useful as your ability to analyze it. Redshift gives you that ability, but getting data there reliably is where most teams lose time. The manual CSV method works, but you’ll be repeating the same export-upload-load process every time your data updates.

Hevo eliminates that entirely. Your NetSuite data flows into Redshift automatically, stays current, and requires zero maintenance once the pipeline is live.

Set up your NetSuite to Redshift pipeline for free →

Want to migrate your NetSuite data elsewhere? Here are a few interesting reads:

• NetSuite Salesforce Integration
• NetSuite to BigQuery
• NetSuite to Snowflake

Frequently Asked Questions