Data inventory and glossary
Catalog organizes assets with definitions, owners, lineage, and trust indicators, while the business glossary standardizes terms.
Shared data context and governance, with portfolio tracking for data and AI initiatives.
DataGalaxy connects organizational data knowledge with governance and the business value of data and AI initiatives. The platform brings together two products: Catalog documents assets, business meaning, ownership, and lineage; Portfolio organizes initiatives, priorities, delivery, and outcomes.
Data and business teams can use shared context to understand information before using it, while program leaders compare initiatives and track progress. Metadata connectors link the platform to existing warehouses, BI tools, and other systems. Embedded AI assistance supports search, documentation, and suggestions.
Catalog organizes assets with definitions, owners, lineage, and trust indicators, while the business glossary standardizes terms.
Connect warehouses, BI tools, and other systems, including Snowflake, BigQuery, Power BI, Tableau, and dbt, to map metadata and dependencies.
Embedded copilots and assistants support finding data, creating documentation, and receiving suggestions.
Associate ownership, roles, rules, and policies with data assets. Modules and controls vary by plan.
Capture data and AI requests with guided templates and compare initiatives by strategic value, effort, and risk.
Portfolio links initiatives to delivery milestones, usage, costs, and business outcomes.
An analyst can check an asset's business definition, owner, and source lineage before using it in a dashboard.
An engineer can inspect downstream dependencies before changing a field or pipeline, then coordinate with affected analytics and governance teams.
A program team can capture proposals in a common template, compare value, effort, and risk, and follow selected initiatives through milestones and outcome tracking.
Catalog focuses on data knowledge, discovery, and governance. Portfolio focuses on data and AI initiatives, priorities, progress, and business value. They have separate plan options.
The quote-based Starter plan includes one production instance, SSO, at least five editors, two workspaces, five core connectors, unlimited readers, and AI-powered assistance. Portfolio uses its own Start and Scale plans.
Use the open API for a custom integration, work with DataGalaxy on an integration, or use file imports and exports as an interim approach. Complex workflows may need IT support.
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