Big news! We've just rolled out Amazon Redshift support in GX. This is huge for anyone working with serious data volumes who wants quality checks without the headaches.
Why Amazon Redshift matters for data teams
Redshift handles large-scale analytics well. Its columnar storage, compression, and parallel processing help run complex queries on huge datasets quickly. It works smoothly with AWS services like S3, Glue, and SageMaker, making it easier to build complete data workflows. It's cost-effective, scales as needed, and includes strong security features.
Benefits of running GX validations directly in Redshift
With GX's Redshift support, you can now:
Validate data where it lives: run Expectations directly against your Redshift tables without extracting or moving data.
Leverage Redshift's performance: take advantage of Redshift's query optimization and parallel processing for efficient validation of massive datasets.
Integrate with existing workflows: easily incorporate data quality checks into your existing Redshift-based data pipelines.
Getting started
You can start validating Redshift data today in GX Cloud. Just follow this guide to get set up in a few steps.
Need more details? Check out our docs
This integration represents GX’s commitment to meeting data teams where they work. By supporting Redshift, one of the most widely adopted data warehouse solutions, we're enabling more organizations to implement data quality practices across their data ecosystem.
Get started with GX Cloud and take control of your data quality now.
