Load and Transform Data in Amazon Redshift in a Scalable, Fast, and Economical Way

Orchestrate data transformations in your Amazon Redshift data warehouse with Astro, the modern data orchestration platform powered by Apache Airflow®. Astro’s AWS provider offers an easy Amazon Redshift integration that helps you build pipelines faster, run at scale with confidence, and make sense of your entire data ecosystem, without vendor boundaries. With Astro’s integrated development tools, you can build ELT pipelines with just SQL, eliminating boilerplate Python code and make orchestrating Redshift queries more accessible for all data practitioners.

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About Amazon Redshift

AWS Redshift is widely used to store large quantities of data by organizations across industries. Benefit from having all your data readily accessible to Astro in a central place that integrates seamlessly with other [AWS tools](/partners/amazon-web-services/). By combining Redshift with Astro you get a home for your data that is scalable, well-structured, and offers powerful resources to run complex queries at record speed.

Use Case

Implementing modern ELT patterns that leverage the power of Redshift's compute resources is a common use case for data orchestration. With Astro, running your transformations in Redshift is more cost-effective with readily available async support, and easier to implement with [the Astro SDK](https://github.com/astronomer/astro-sdk) for next-generation DAG-authoring. You'll have an operational understanding of your data warehouse integrated with your entire data platform.