Connect NetSuite to Amazon Redshift
Sync NetSuite data to Redshift provisioned clusters or Serverless workgroups via native SuiteQL. No SuiteAnalytics Connect license. IAM authentication ready. 10-minute OAuth setup.
Redshift was sized for your product data. Your finance data is smaller, later, and the one people argue about.
What lands in Amazon Redshift
Provisioned clusters and Serverless workgroups are both just destinations. The connector writes NetSuite into yours on a schedule, with IAM authentication and no intermediate copy of your data.
Authenticate once against NetSuite
Token-based auth over NetSuite’s native REST web services. No ODBC driver on an EC2 box, no SuiteAnalytics Connect licence.
Write straight into Redshift
Provisioned or Serverless, with IAM authentication. Typed columns and auto-detected schemas, loaded incrementally so only changed rows move.
Query it like any other Redshift data
Once the tables are in your cluster they behave like everything else: joins to your other sources, Spectrum, materialized views, whatever your stack already does.
Your data never rests on shared infrastructure: it moves from NetSuite to the cluster you own, and you keep it there.
Typed columns, auto-detected schemas, one row per NetSuite record. Nothing is parked on shared infrastructure on the way there.
What you get that ODBC does not give you
Less to own than an AWS Glue build
A hand-built ingestion job means writing and maintaining SuiteQL pagination, retries, schema drift handling and scheduling. This arrives with all of that done.
IAM, not a password in a config file
Redshift authentication uses IAM; NetSuite credentials sit in Azure Key Vault. Nothing sensitive lives in a connection string on a jump box.
Incremental by default
Only rows changed since the last run are pulled and loaded, which is what keeps a nightly job at minutes rather than hours as history grows.
Amazon Redshift questions
Can't find what you need? Book a call and we will walk through it together.
Yes. Acterys writes to both provisioned Redshift clusters (RA3, DC2) and Redshift Serverless workgroups. Use Serverless for variable workloads, RA3 for predictable production analytics.