A data catalog for Amazon Redshift helps organize, manage, and search metadata across data stored in Redshift clusters.
Data Catalog for Amazon Redshift serves as a centralized inventory of tables, schemas, and datasets, allowing users to find and use the right data efficiently. Redshift integrates with AWS Glue Data Catalog, enabling metadata management at scale and supporting up-to-date, trustworthy insights for cloud-based analytics teams.
A data catalog is crucial for teams using Redshift because it streamlines data discovery, governance, and collaboration. It enables faster access to high-quality datasets, improves visibility into data lineage, and reduces duplication across teams.
With a catalog in place, analysts, engineers, and business users can trust that they’re working with the most current and reliable data, helping them move from analysis to action faster while maintaining compliance and consistency across workflows.
Amazon Redshift works with AWS Glue Data Catalog to manage metadata centrally. Glue scans and indexes data stored in Redshift and other sources, creating a unified catalog accessible through Redshift Query Editor, SQL commands, or integrated tools.
This catalog maintains table definitions, schema versions, and partitioning information, enabling Redshift users to run efficient queries, apply consistent data definitions, and enforce governance policies—without manually managing metadata.
Here are a few benefits of using Data Catalog for Amazon Redshift:
Managing data catalogs in Redshift often presents challenges related to scalability and governance:
Whether you’re scaling analytics or improving governance, a data catalog helps Redshift users gain control and clarity over their data. It enables seamless metadata management, automates discovery, and supports secure, compliant workflows. Teams can eliminate guesswork by knowing exactly where their data comes from and how to use it effectively.
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