Automate Data Cataloging with Quest
Quest Data Catalog software delivers the automated metadata management data teams need to tackle data management tasks that reduce data and AI risk and keep data pipelines trusted and reliable.
Auto-harvest and catalog metadata from structured, semi-structured and unstructured sources. Use AI-powered stewardship to classify data and build business glossaries faster. Leverage data lineage, impact analysis and integrated data quality to keep every asset trusted and ready to use.
FAQ
Quest auto-harvests and curates metadata from structured, semi-structured and unstructured sources across your hybrid data estate into your data catalog, giving you a single enterprise catalog for landscape visibility.
With AI-powered classification and sensitive data detection, you can identify and govern every type of data consistently, reducing risk no matter where it lives or how it's structured.
Quest offers more than 100 data connectors you can use to gain full visibility into your data landscape, integrating with widely used platforms and cloud ecosystems including Microsoft Azure, Databricks, Snowflake, AWS and Google Cloud.
Leveraging our proven, Quest-built library of connectors, you can centralize metadata management, automate lineage and accelerate delivery of trusted, AI-ready data products. Learn More
The QuestAI Stewardship Assistant helps you onboard new data sources up to 10x faster, automatically classifying data and building business glossaries so catalogs stay well-defined and well-organized.
Chat-based QuestAI context assistants also provide quick answers to data catalog, data lineage, business glossary, data ownership and data marketplace questions, giving stewards and business users a faster way to understand and act on their data.
Data lineage traces how data moves and transforms as it flows from source systems through to reporting layers, giving you an end-to-end, column-level view of your data pipelines.
Impact analysis builds on that lineage to instantly show the upstream and downstream effects of a proposed change to an attribute or table, so you can plan changes with confidence before you act.
Quest Data Intelligence integrates with data models, mappings and naming standards from erwin Data Modeler or Quest Data Modeler, part of the Quest Trusted Data Management Platform.
The data catalog’s drag-and-drop approach to source-to-target mapping eliminates spreadsheets and the errors that come with them, while built-in version management and change control keep mapping documentation current and auditable.
Yes. As data catalog software, Quest Data Catalog is part of Quest Data Intelligence and the Quest Trusted Data Management Platform, uniting data modeling, cataloging, data quality, data governance, data marketplace and automated data product factory capabilities in one integrated solution.
That means the metadata you catalog here fuels lineage, quality scoring, governance policies and marketplace discovery everywhere else in the platform, with no duplicate effort required.