AWS Redshift

AWS Redshift Integration

Data warehouse: clusters, snapshots, SQL execution via Data API

Data & Analytics 17 actions AWS access key (Signature v4)

Start automating AWS Redshift

What you can automate with AWS Redshift

Drag any of these 17 actions into a process — no code, no API wrangling.

Batch Execute SQL

Execute multiple SQL statements

Create Cluster

Create a new Redshift cluster

Create Snapshot

Create a cluster snapshot

Delete Cluster

Delete a Redshift cluster

Delete Snapshot

Delete a cluster snapshot

Describe Clusters

List Redshift clusters

Describe Snapshots

List cluster snapshots

Describe Statement

Get status of a SQL statement

Execute SQL

Execute a SQL statement via the Data API

Get Statement Result

Get results of a completed SQL statement

List Statements

List recent SQL statements

Modify Cluster

Modify cluster settings

Pause Cluster

Pause a cluster

Reboot Cluster

Reboot a cluster

Resize Cluster

Resize a cluster

Restore from Snapshot

Restore a cluster from a snapshot

Resume Cluster

Resume a paused cluster

How the AWS Redshift connection works

1. Authenticate

AWS Redshift uses aWS access key (Signature v4). Save the connection once and reuse it across every process.

2. Build the process

Drop AWS Redshift steps onto the process map alongside desktop, browser, Excel and email steps.

3. Run it attended or unattended

Trigger on a schedule, an email, or a file landing in a folder. Credentials stay encrypted and every run is audited.

Because AWS Redshift has an API, Automize talks to it directly in the cloud — no bot needed on a desktop. Where a system has no API, an Automize bot drives its interface instead.

Other Data & Analytics connectors

Automate AWS Redshift in 7 days

We build one working AWS Redshift automation in your business inside a week, at a fixed price.