DataGalaxy Catalog Knowledge Hub

Get Started

Discover DataGalaxy, learn key concepts, and take your first steps in the platform.

Prepare your governance project

Explore & Use

Navigate the platform day to day: search, dashboard, tasks, objects, and every module overview.

Search

Build & Curate Your Catalog

Manage objects, glossary, dictionary, processing, usages, campaigns, MetaBot, and data quality.

Manage Your Objects

Define and represent data quality

The objective and subjective dimensions of data quality (per DMBOK), and how to represent them in DataGalaxy across the Glossary's functional view and the Dictionary's technical, time-series view.

Manage golden links

What a golden link is in a 360° catalog, who can create one, how it appears in the Implementation tab, lineage, and service panel, and how to set or remove one.

Relationships between catalog objects

The full reference table of logical and physical link types between catalog object types — Glossary, Dictionary, Processing, and Usages — with what each relation looks like in both directions.

Link objects

The four ways to link objects across modules — via the object sheet's tabs, source-imported properties, suggestions, or shortcut attributes — with the exact steps for each relation type.

Create an object

The three ways to manually create an object, the required and optional fields in the creation modal, and how owner, steward, and technology defaults get pre-selected.

Clone objects

Create a copy of a Glossary, Usage, or Dictionary object — including a structure or a field — or clone a data processing flow, and see exactly what gets copied along with it.

Move an object

Change an object's parent from list view or the service panel — available for objects in any module that can have a parent.

Bulk-edit objects

Edit attributes and links across several selected objects at once, merge Glossary objects together, or delete a batch of objects — all from table view.

Recipes & best practices

Model SQL Queries

Model SQL selection and management queries in DataGalaxy while balancing lineage detail and query organization.

[Recipe] Model your glossary

Model your glossary by proximity or by urbanization, and weigh the constraints before you choose.

[Recipe] Build your application catalog

Map the application layer of your information system: describe applications with the Uses module and group them into clusters.

[Recipe] Refining your glossary

A two-step approach to refine a glossary: sequence the classification (flat view, repositories, specific concepts), then manage object life cycle and editing rights.

[Recipe] Compare dictionary & glossary

A short recipe comparing the glossary (business terms and indicators) and the dictionary (tables, files, columns, fields) and how they link in DataGalaxy.

[Recipe] Readability of glossary objects

Tips to keep the glossary readable: limit hierarchy levels, keep 3 to 20 direct children per group, and set naming rules.

[Recipe] Rank and group your data

Organize glossary data with universes and domains to build a clear matrix view.

[Recipe] Organise your glossary

Key object characteristics to respect when structuring a glossary: unique definitions, a single parent and a single path.

[Recipe] Lineage granularity

Choose a lineage granularity that fits your use case, organization maturity, and maintenance capacity.

[Recipe] Document your message broker

A recipe to document a message broker such as Kafka in the dictionary: topics as directories, messages as files, and tracing producers and consumers.

Manage your glossary

Connect & Import Data

Import data manually or via API, use the Desktop connector, and browse the connector reference.

Connector reference

Manual import

AI-Driven Catalog

MetaBot AI features, the DataGalaxy MCP Server, and other AI-powered capabilities.

Blink, a data governance chatbot

MCP Server

How to Install the DataGalaxy MCP Server as a Claude Extension

Install the DataGalaxy MCP Server in Claude Desktop as a one-click .mcpb Desktop Extension — no config file editing required.

Adding DataGalaxy MCP Server to Mistral Vibe

Step-by-step guide to adding the DataGalaxy MCP Server as a custom connector in Mistral Vibe (formerly Le Chat), with OAuth 2.1 (recommended) or Personal Access Token authentication.

Metadata+Data: Using DataGalaxy MCP Server with your Data Storage MCP (Databricks Example)

Combine DataGalaxy's metadata MCP with a data-storage MCP like Databricks in Cursor: find a documented query in the catalog, then run it against live data.

How to Connect the DataGalaxy MCP Server to Microsoft Copilot (Copilot Studio) and Publish to Microsoft Teams

Full walkthrough for connecting the DataGalaxy MCP Server to a Microsoft Copilot Studio agent and publishing it to Teams and Microsoft 365 Copilot.

MCP Client Prompt Template

A ready-to-use system prompt template for any MCP client, updated to match the current DataGalaxy MCP tool set.

Prerequisites: Microsoft Copilot Studio licensing for MCP Server

The Microsoft licensing requirements — maker, tenant, and end-user — needed to connect the DataGalaxy MCP Server to a Copilot Studio agent.

MCP Server Instructions

The system-prompt-style instruction block DataGalaxy uses to steer MCP clients toward the right tool, current with the live tool set.

Use Cases: How the DataGalaxy MCP Server Helps Across Your Organization

16 real-world use cases for the DataGalaxy MCP Server, organized under two pillars: consuming trusted metadata, and enriching the catalog.

How to Add DataGalaxy MCP Server to Cursor

Step-by-step guide to connecting the DataGalaxy MCP Server to Cursor, including a working JSON configuration example.

DataGalaxy MCP Server Tools

Current reference for every tool the DataGalaxy MCP Server exposes — parameters and behavior, pulled directly from the live server.

How to Add a DataGalaxy MCP Server to Claude Desktop

Connect the DataGalaxy MCP Server to Claude Desktop via the mcp-remote proxy, including a working config and troubleshooting steps.

Quick Start with MCP Server

The 8-step path to your first working DataGalaxy MCP Server connection: enable it, get your token and server URL, and configure your client.

How to connect DataGalaxy MCP Server to Onyx

Step-by-step guide to connecting the DataGalaxy MCP Server to Onyx AI as an Action, with API key authentication.

What is MCP Server and How It Works

What an MCP server is, why organizations use one, and how a request flows from an AI client through DataGalaxy's MCP server and back.

Administer

Client space and workspace administration: users, roles, screens, security, multilingual setup.

Client space

Collection title

Workspace

Extend

Public API, browser extension, and integrations with Slack/Teams.

Chrome Extension