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Amazon Redshift.

Amazon Redshift

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Trusted by leading companies to sync data securely at scale

NBA.
GameStop.
Spotify.
Ramp.
Retool.
Cars.com.
PetSmart.

Get data out of Amazon Redshift. Fast.

You've spent time getting data into Amazon Redshift, modeling it for analytics, and paying to store it. Why do that again with a traditional CDP? With Hightouch, you can activate your Amazon Redshift data in less than 5 minutes. You no longer have to worry about storing your data with a 3rd party, complex CDP implementations, or having multiple data silos.

Read our Amazon Redshift documentation

What methods can I use to model my Amazon Redshift data?

  • dbt model selector

    Semi-opaque, open dropdown with three example dbt model names such as 'dbt.model.name.1'.

    Sync directly with your dbt models saved in a git repository.

  • Looker

    Semi-opaque open dropdown with three example Look names such as 'Look 1'.

    Query using Looks. Hightouch turns your look into SQL and will pull from your source.

  • SQL editor

    SQL editor.

    Create and Edit SQL from your browser. Hightouch supports SQL native to Amazon Redshift.

  • Sigma model

    Semi-opaque open dropdown with three example workbook names such as 'Workbook 1'.

    Hightouch converts your Sigma workbook element into a SQL query that runs directly on Amazon Redshift.

  • Table selector

    Semi-opaque open dropdown with three example table names such as 'schema.table.name.1'.

    Select available tables and sheets from Amazon Redshift and sync using existing views without having to write SQL.

  • Customer Studio

    Visual query builder reading 'All rows that...' with a button labeled 'select a property'.

    For less technical users, pass traits and audiences from Amazon Redshift using our visual segmentation builder.

All 200+ Amazon Redshift integrations

Amazon Redshift to Acoustic
Chaotic graph of interconnected nodes representing data warehouses, data, and business tools.

Before Hightouch

  • Inconsistent and inaccurate data
  • Laborious and expensive
  • Brittle and inflexible
Clean and easily readable graph of data moving from a warehouse node, to Hightouch, to business tools.

After Hightouch

  • Consistent and accurate
  • Observable and governed
  • Scalable and flexible

Activate your data in less than 5 minutes