Databricks
Build a centralized, collaborative inventory of data assets enriched with ownership, definitions, lineage, and trust indicators.
Build trust & context
through a collaborative catalog
Break the silos and discover data 10x faster with an easy-to-use metadata foundation
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78%
of organizations do not have full confidence in their data assets.
Dataversity
82%
of data users say finding the right data is their biggest challenge at work.
IDC
DataGalaxy Catalog
By automatically mapping metadata, lineage, and ownership, the Catalog becomes the central semantic layer that keeps information consistent, connected, and always up to date.
This foundation helps people and AI work with the same trusted definitions, understand context and impact, and deliver faster, better decisions across the business.
Activate context, trust, collaboration, and engagement
across your data ecosystem
A single source of truth
to solve your critical data issues
Data
governance
Regulatory compliance
AI-ready
data
Impact analysis
Data
discoverability
Trace data from source to consumption and give teams clear visibility on transformations, dependencies, and impact analysis to build trust at every step.
Access trusted metadata directly from the tools you use every day and enrich your workflows with instant context, definitions, and ownership insights.
Apply roles, rules, and policies directly on data assets to ensure quality, compliance, and accountability without slowing teams down.
Expose certified, documented data products in a business-friendly Marketplace so teams can explore, understand, and request what they need, with full governance in place.
Connects your whole stack for fast, trusted activation
Explore our connectors
Snowflake
Hubspot
Power BI
dbt
Who’s using DataGalaxy?
(Spoiler alert: pretty much everyone!)
Governance teams
Document, organize, and maintain trusted knowledge. They ensure consistent definitions, ownership, and policies to keep data reliable and compliant across domains.
Business users
Easily discover and understand the data you rely on. Gain the context and confidence needed to make informed decisions without technical friction.
Data/AI teams
Access a clear view of assets, sources, and dependencies to speed up delivery, improve data quality, and collaborate effectively with business counterparts.
CDOs
Oversee the organization’s data landscape, ensure governance adoption, and provide teams with trusted knowledge and context to make better decisions.
Engineering teams
Build and maintain reliable data pipelines with full visibility into lineage, dependencies, and changes. Simplify troubleshooting, ensure smooth data delivery, and collaborate easily.
Analysts
Find, understand, and trust the data behind every dashboard. Quickly access definitions, lineage, and context to analyze confidently and deliver insights that align with business objectives.
Trusted by analysts, loved by users
Why teams stay for more than the lineage
Up and running in weeks
90% of our customers deploy a first use case in less than 2 months.
Integrated diagramming
Built-in Visual Knowledge Studio to visually map lineage, processes, and business flows: no external modeling tools required.
Speak data in every language
Your content is available in multiple languages to support global teams.
Your always-on AI data steward
AI Copilot and assistants embedded to power fast search, effortless documentation, and smart suggestions that guide teams toward the right information and actions at the right moment.
Built for everyone, not just data teams
Unlike many catalogs that stay IT-only, DataGalaxy is designed for intuitive use by non-technical teams, which drives adoption across the enterprise.
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Manage data assets from C-level strategy to AI adoption
FAQ
- What is a data catalog?
-
A data catalog is an organized inventory of data assets that helps users find, understand, and trust data. It includes metadata, lineage, and business context to break down silos, boost collaboration, and support faster, smarter decisions.
- Do I need a data catalog?
-
If your teams are struggling to find data, understand its meaning, or trust its source — then yes. A data catalog helps you centralize, document, and connect data assets across your ecosystem. It’s the foundation of any data-driven organization.
👉 Want to go deeper? Check out:
https://www.datagalaxy.com/en/blog/what-is-a-data-catalog/ - How does a data catalog work?
-
It connects to your data sources and tools, ingests metadata automatically, and creates a centralized, searchable inventory of your assets. Advanced catalogs like DataGalaxy also provide lineage, collaboration, and governance capabilities.
👉 Want to go deeper? Check out:
https://www.datagalaxy.com/en/blog/utilizing-the-semantic-layer/ - How is a data catalog different from a data glossary?
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A business glossary defines terms and ensures shared understanding. A data catalog documents the technical assets (tables, fields, reports) and connects them to the glossary. Both are essential — and should be linked.
👉 Want to go deeper? Check out:
https://www.datagalaxy.com/en/blog/data-catalog-vs-glossary-dictionary - How long does it take to implement a data catalog?
-
Implementation time varies by organization size and complexity, but modern data catalogs like DataGalaxy can be operational in weeks — not months. Out-of-the-box connectors, guided onboarding, and automated metadata ingestion reduce ramp-up time dramatically.
- How does a data catalog integrate with my existing tools?
-
Modern catalogs integrate with your full data ecosystem — from Snowflake to Power BI. DataGalaxy includes prebuilt connectors, APIs, and automation tools that make syncing metadata seamless and scalable.
👉 See supported integrations