What is IBM Watson Knowledge Catalog?

IBM Watson® Knowledge Catalog is a unified data catalog that can help your data users quickly find, curate, categorize and share data, analytical models and their relationships with other members of your organization. It serves as a single source of truth for data engineers, data stewards, data scientists and business analysts to shop for data they can trust. With active policy management, it helps your organization protect and govern data, so it’s ready for AI at scale.

→ See why IBM Watson Knowledge Catalog is a leader in The Forrester Wave: Machine Learning Data Catalogs

Introducing the Watson Knowledge Catalog Standard Plan

Shop for data

Discover more relevant assets quicker with intelligent recommendations powered by Watson and by peers across the organization.

Catalog data

Curate and shape analytical assets, including structured and unstructured data, machine-learning models and notebooks.

Govern data

Protect data misuse and confidently share assets with automated, dynamic masking of sensitive data elements and govern with active policy management.

Understand data

Automatically profile and classify structured and unstructured data, helping users understand data assets and their lineage.

Power data science

Seamless integration with Watson Studio helps data scientists and knowledge workers to quickly drive productive use of their data in a suite of powerful data science, AI, machine-learning and deep-learning tools to build, train and deploy models.

Prepare data

Interactively discover, cleanse and prepare your data with a built-in data refinery. Understand data quality, data lineage and distribution through data-profile visualizations, built-in charts and statistics.

Connect data

Connect your projects and catalogs to assets stored in popular IBM and third-party data sources.

Take a closer look at IBM Watson Knowledge Catalog

Try Watson Knowledge Catalog

Take advantage of machine learning and AI to analyze your data. Catalog your data to make it easy to find.