DataGalaxy logo

DataGalaxy

Freemium
訪問

Shared data context and governance, with portfolio tracking for data and AI initiatives.

DataGalaxyとは?

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.

DataGalaxyでできること

Data inventory and glossary

Catalog organizes assets with definitions, owners, lineage, and trust indicators, while the business glossary standardizes terms.

Metadata and lineage connections

Connect warehouses, BI tools, and other systems, including Snowflake, BigQuery, Power BI, Tableau, and dbt, to map metadata and dependencies.

AI assistance

Embedded copilots and assistants support finding data, creating documentation, and receiving suggestions.

Governance context

Associate ownership, roles, rules, and policies with data assets. Modules and controls vary by plan.

Initiative portfolio

Capture data and AI requests with guided templates and compare initiatives by strategic value, effort, and risk.

Delivery and value tracking

Portfolio links initiatives to delivery milestones, usage, costs, and business outcomes.

利用シーン

“Choose data for a report”

An analyst can check an asset's business definition, owner, and source lineage before using it in a dashboard.

“Review a change before delivery”

An engineer can inspect downstream dependencies before changing a field or pipeline, then coordinate with affected analytics and governance teams.

“Prioritize AI proposals”

A program team can capture proposals in a common template, compare value, effort, and risk, and follow selected initiatives through milestones and outcome tracking.

よくある質問

How do Catalog and Portfolio differ?

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.

What does Catalog Starter include?

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.

What if my system lacks a connector?

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.

クイック情報

Product
Data and AI governance platform
Components
DataGalaxy Catalog and DataGalaxy Portfolio
Users
Data, analytics, governance, and business program teams
Pricing
Quote-based plans for each product
Official site
https://datagalaxy.com

DataGalaxy のトラフィック分析

トラフィックデータは参考情報としてご利用ください。

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