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Recognized in the Gartner® Value Management Hype Cycle™ Report

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Amazon

Amazon Athena

Amazon Glue

Amazon Redshift

Amazon S3

Apache Atlas

AS400

Azure Data Lake Gen 1 & 2

Azure HDInsight

Azure SQL

Azure Synapse

Bigeye

Cognos

CSV

DB2

dbt

Denodo

Derby

DynamoDB

Elastic Search

Exadata

Excel

Google Big Query

Google Big Table

Google Cloud Storage

Hive

Hubspot

Informatica

Integration Services (SSIS)

JDBC

Json Schema

Local File System

Maria DB

Microsoft Teams

MicroStrategy

MongoDB

Monte Carlo

MySQL

OneLake

Oracle

OTIC

PostGreSQL

PowerBI report server

Qlik Sense

Saleforce Tableau CRM

Salesforce

SAP Business Objects

SAP Hana

Sifflet

Slack

Soda

SQL Server

Starburst

Swagger Open API

Tableau Server

Talend

Talend Cloud

Teradata

Trino

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XML Schema (XSD)


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Trusted by analysts and loved by users

Recognized by Gartner® Magic Quadrant™ for D&A Governance

Honored for our leadership in shaping trusted data practices, driving innovation, and empowering organizations with clarity, confidence, and excellence.

Fan favorite on G2 with highest ease of use and user adoption

Celebrated by users for unmatched simplicity and seamless adoption, empowering teams to unlock value faster with intuitive, user-friendly solutions.


Content Cards

Everything you need to get started

Centralized, living initiative portfolio

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Scoring (value, effort, risk)

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ROI & delivery tracking

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Scenario simulation tools

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Custom views by team or domain

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80%

of governance efforts fail without impact visibility

62%

of CEOs lead data-driven transformation initiatives

25%

of organizations now prioritize cataloging in their data strategies


Content Cards

Secure by Design. Scalable by Nature.

At DataGalaxy, enterprise-grade security isn’t an option—it’s built in. Our Trust Center demonstrates transparent, independently validated practices, exceeding industry expectations without sacrificing usability. When you choose DataGalaxy, you’re choosing confidence at scale.

Verified compliance

SOC 2 certification and accessible audit documentation build trust with your auditors and customers.

Policy-driven governance

Centrally managed policies—enforced automatically—ensure alignment with GDPR, HIPAA, FISMA, BCBS 239, Solvency II, CPRA, and more.

Built for the enterprise

You get high-end security capabilities with seamless user experience and collaboration.


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Table of Contents Menu + Table of Contents

What is data catalog?

Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Duis placerat arcu quis nibh pellentesque, scelerisque tempus elit pulvinar. Cras rutrum enim at mi interdum, at consectetur nisi laoreet. Duis eget efficitur odio. Nam fringilla faucibus lorem, laoreet ornare neque scelerisque vitae. Fusce condimentum sapien nisi, quis commodo urna tempus at. Donec nec metus enim.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nulla semper tristique risus, at hendrerit mi iaculis a. Phasellus quis euismod nisi. Donec egestas volutpat risus id tristique. Morbi bibendum risus ut luctus blandit. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus.

Maecenas sollicitudin congue velit, a venenatis sapien lobortis quis. Mauris ultrices quis est feugiat auctor. Etiam sagittis nunc nec ex viverra lacinia. Nunc laoreet dictum diam, sed blandit neque posuere ut.

Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Duis placerat arcu quis nibh pellentesque, scelerisque tempus elit pulvinar. Cras rutrum enim at mi interdum, at consectetur nisi laoreet. Duis eget efficitur odio. Nam fringilla faucibus lorem, laoreet ornare neque scelerisque vitae. Fusce condimentum sapien nisi, quis commodo urna tempus at. Donec nec metus enim.

What is metadata?

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Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Maecenas sollicitudin congue velit, a venenatis sapien lobortis quis. Mauris ultrices quis est feugiat auctor. Etiam sagittis nunc nec ex viverra lacinia. Nunc laoreet dictum diam, sed blandit neque posuere ut.

Kash Mehdi

VP Growth
DataGalaxy

LinkedIn Profile
As Vice President of Growth at DataGalaxy, Kash is an experienced and passionate leader working with the industry’s first and fastest-growing data knowledge governance catalog. Over the past decade, he has helped teams make sense of data within their fragmented IT architecture settings to unlock their full potential.

Kash Mehdi

VP Growth
DataGalaxy

LinkedIn Profile
As Vice President of Growth at DataGalaxy, Kash is an experienced and passionate leader working with the industry’s first and fastest-growing data knowledge governance catalog. Over the past decade, he has helped teams make sense of data within their fragmented IT architecture settings to unlock their full potential.

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Partners with FIlter

Partners without Filter


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Partner (manual entry) with link

Partner (manual entry) without link

Gold

Partner from PostType


Feature

Insurance

Turn your catalog into a governance engine

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Explore Data and AI Governance
Insurance

Turn your catalog into a governance engine

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Explore Data and AI Governance
Insurance

Turn your catalog into a governance engine

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Explore Data and AI Governance
Insurance

Turn your catalog into a governance engine

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.

Explore Data and AI Governance
Insurance

Turn your catalog into a governance engine

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.

Explore Data and AI Governance
Insurance

Turn your catalog into a governance engine

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.

Explore Data and AI Governance
Insurance

Turn your catalog into a governance engine

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.

Explore Data and AI Governance
Insurance

Turn your catalog into a governance engine

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique.

Explore Data and AI Governance
Insurance

Turn your catalog into a governance engine

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Explore Data and AI Governance

Turn your catalog into
a governance engine

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Explore Data and AI Governance

Turn your catalog into
a governance engine

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Explore Data and AI Governance
Insurance

Data governance built for insurance

Why top brands choose DataGalaxy’s SaaS-native platform for enhanced governance and cataloging efforts. Explore the distinct methodologies of DataGalaxy and Alation when it comes to metadata management, and gain a clear overview of the business implications of each.

Explore Data and AI Governance

Quote (Card)

3.5
“Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi est leo, blandit sit amet orci sed, fermentum varius mauris. Phasellus fringilla orci sed ipsum luctus Quisque tempus diam aliquam Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi est leo, blandit sit amet orci sed, fermentum varius mauris. Phasellus fringilla orci sed ipsum luctus Quisque tempus diam aliquam Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi est leo, blandit sit amet orci sed, fermentum varius mauris. Phasellus fringilla orci sed ipsum luctus Quisque tempus diam aliquam”
Jane Doe
Amazing great manager

Customer Stories (Quote)

Customer stories

“DataGalaxy enables us to track data changes, ensure quality and regulatory compliance, and gain clear visibility into our cloud data. Its ease of use, powerful features, and dedicated support have elevated our data management journey.”
Georges Boutros, Data Project Manager at Arte

VS Features (a.k.a. VS Reviews)

product

DataGalaxy Alation
Connect to lagecy datastack Yes Yes
Connect to modern data stack Yes No
Multilingual Business Glossary Yes No
Governance responsibility & workflows Yes No
Exploratory Data Lineage Yes Yes
Modern user interface Yes No
Diagramming tool Yes No
Connect to lagecy datastack
DataGalaxy
Yes
Alation
Yes
Connect to modern data stack
DataGalaxy
Yes
Alation
No
Multilingual Business Glossary
DataGalaxy
Yes
Alation
No
Governance responsibility & workflows
DataGalaxy
Yes
Alation
No
Exploratory Data Lineage
DataGalaxy
Yes
Alation
Yes
Modern user interface
DataGalaxy
Yes
Alation
No
Diagramming tool
DataGalaxy
Yes
Alation
No

service

DataGalaxy Alation
Connect to lagecy datastack Yes Yes
Connect to modern data stack Yes No
Multilingual Business Glossary Yes No
Governance responsibility & workflows Yes No
Exploratory Data Lineage Yes Yes
Modern user interface Yes No
Diagramming tool Yes No
Connect to lagecy datastack
DataGalaxy
Yes
Alation
Yes
Connect to modern data stack
DataGalaxy
Yes
Alation
No
Multilingual Business Glossary
DataGalaxy
Yes
Alation
No
Governance responsibility & workflows
DataGalaxy
Yes
Alation
No
Exploratory Data Lineage
DataGalaxy
Yes
Alation
Yes
Modern user interface
DataGalaxy
Yes
Alation
No
Diagramming tool
DataGalaxy
Yes
Alation
No

Speaker (Card)


Connector Grid

Amazon

Amazon Athena

Amazon Glue

Amazon Redshift

Amazon S3

Apache Atlas

AS400

Azure Data Lake Gen 1 & 2

Azure HDInsight

Azure SQL

Azure Synapse

Bigeye

Cognos

CSV

DB2

dbt

Denodo

Derby

DynamoDB

Elastic Search

Exadata

Excel

Google Big Query

Google Big Table

Google Cloud Storage

Hive

Hubspot

Informatica

Integration Services (SSIS)

JDBC

Json Schema

Local File System

Maria DB

Microsoft Teams

MicroStrategy

MongoDB

Monte Carlo

MySQL

OneLake

Oracle

OTIC

PostGreSQL

PowerBI report server

Qlik Sense

Saleforce Tableau CRM

Salesforce

SAP Business Objects

SAP Hana

Sifflet

Slack

Soda

SQL Server

Starburst

Swagger Open API

Tableau Server

Talend

Talend Cloud

Teradata

Trino

Vertica

XML Schema (XSD)


Posts Grid (2 columns)

Blog data quality

Top 3 data management strategies for working with AI tools (2025)

AI is changing data management. Have you adjusted your strategy to keep up? To maximize the efficacy of AI-powered tools, you need a data management strategy that focuses on more than pipelines and storage. It needs to position AI readiness and automation at the center of your design. What is a data management strategy? Data […]
Blog data culture

Why companies are switching from Atlan to DataGalaxy

With so many data management and governance tools on the market, two platforms consistently rise to the top: Atlan and DataGalaxy.  In this article, we’ll discuss why more and more organizations are making the switch from Atlan to Datagalaxy, including sharing what the two platforms offer, and which is truly the more powerful, business-first data […]
Blog AI gov

7 key considerations when building an AI governance framework

With great power comes even greater risk. AI is being adopted at a blistering scale and pace. However, the unintended downside is that it’s moving faster than policy, tooling, or training can keep up. It’s time for a dedicated AI governance framework. One that’s squarely rooted in your business realities, expands with your ambitions, and […]
Blog AI gov

AI risk management: How to monitor & control AI systems

What’s the difference between AI outcomes you can explain and those you can’t? Risk.  From skewed insights to biased outputs, AI is a business liability when left unchecked. So, what does it take to keep AI on track? Rigorous monitoring and hands-on control. Let’s talk AI risk management: How to scrutinize AI in production, where […]
Blog AI gov

Building an AI governance framework: 3 real-world examples

AI is no longer a futuristic concept—it’s embedded in how modern organizations operate, make decisions, and deliver value.  Without the right checks in place, AI can introduce real risks, including bias, lack of transparency, and regulatory non-compliance.  Keep reading to learn more about AI governance – the strategic layer that ensures AI isn’t just powerful, […]
Blog data culture

Data governance & observability: 3 steps to combined value

Did you know that data governance and data observability are interdependent? While data governance establishes the rules and standards for data management, data observability ensures those rules are followed in real-time. Understanding how data governance and observability work together is key to creating a feedback loop that reinforces data trust and AI readiness. Data governance […]
Blog data culture

Value governance: Ensuring data-driven business value

To make a difference, businesses must go a step further. They must govern the value derived from data. This concept, known as value governance, is emerging as a pivotal framework for organizations seeking to align data, analytics, and AI investments directly with business outcomes. In this article, we’ll explain what value governance really means, how […]
Business Intelligence

How DataGalaxy Portfolio connects to ServiceNow to align governance strategy with operational execution

Many enterprises rely on ServiceNow to manage workflows across IT, risk, compliance, and operations. It is the engine behind tickets, approvals, controls, and enterprise processes. But when it comes to structuring enterprise data governance, ServiceNow was never designed to define domains, align ownership, or connect data initiatives to business value. It executes processes. It does […]
Blog AI gov

Data readiness: The real foundation for AI & data governance

Artificial intelligence is changing everything — from how we serve customers to how we make business decisions. But let’s be clear: AI doesn’t magically work on its own. Behind every smart model or automation is something far less glamorous, but absolutely essential: Data readiness. If your data isn’t accurate, accessible, and understood, even the most […]
Blog data quality

5 reasons why data governance must connect to a data quality tool

When it comes to data governance and data quality, many companies assume that an all-in-one solution is ideal. After all, having an integrated data quality tool within your data governance platform sounds convenient, right? In reality, choosing a flexible data governance solution  – One that can connect seamlessly to in-house or best-in-class data quality providers  […]

Posts Grid (3 columns)

Blog data quality

Top 3 data management strategies for working with AI tools (2025)

AI is changing data management. Have you adjusted your strategy to keep up? To maximize the efficacy of AI-powered tools, you need a data management strategy that focuses on more than pipelines and storage. It needs to position AI readiness and automation at the center of your design. What is a data management strategy? Data […]
Blog data culture

Why companies are switching from Atlan to DataGalaxy

With so many data management and governance tools on the market, two platforms consistently rise to the top: Atlan and DataGalaxy.  In this article, we’ll discuss why more and more organizations are making the switch from Atlan to Datagalaxy, including sharing what the two platforms offer, and which is truly the more powerful, business-first data […]
Blog AI gov

7 key considerations when building an AI governance framework

With great power comes even greater risk. AI is being adopted at a blistering scale and pace. However, the unintended downside is that it’s moving faster than policy, tooling, or training can keep up. It’s time for a dedicated AI governance framework. One that’s squarely rooted in your business realities, expands with your ambitions, and […]
Blog AI gov

AI risk management: How to monitor & control AI systems

What’s the difference between AI outcomes you can explain and those you can’t? Risk.  From skewed insights to biased outputs, AI is a business liability when left unchecked. So, what does it take to keep AI on track? Rigorous monitoring and hands-on control. Let’s talk AI risk management: How to scrutinize AI in production, where […]
Blog AI gov

Building an AI governance framework: 3 real-world examples

AI is no longer a futuristic concept—it’s embedded in how modern organizations operate, make decisions, and deliver value.  Without the right checks in place, AI can introduce real risks, including bias, lack of transparency, and regulatory non-compliance.  Keep reading to learn more about AI governance – the strategic layer that ensures AI isn’t just powerful, […]
Blog data culture

Data governance & observability: 3 steps to combined value

Did you know that data governance and data observability are interdependent? While data governance establishes the rules and standards for data management, data observability ensures those rules are followed in real-time. Understanding how data governance and observability work together is key to creating a feedback loop that reinforces data trust and AI readiness. Data governance […]
Blog data culture

Value governance: Ensuring data-driven business value

To make a difference, businesses must go a step further. They must govern the value derived from data. This concept, known as value governance, is emerging as a pivotal framework for organizations seeking to align data, analytics, and AI investments directly with business outcomes. In this article, we’ll explain what value governance really means, how […]
Business Intelligence

How DataGalaxy Portfolio connects to ServiceNow to align governance strategy with operational execution

Many enterprises rely on ServiceNow to manage workflows across IT, risk, compliance, and operations. It is the engine behind tickets, approvals, controls, and enterprise processes. But when it comes to structuring enterprise data governance, ServiceNow was never designed to define domains, align ownership, or connect data initiatives to business value. It executes processes. It does […]
Blog AI gov

Data readiness: The real foundation for AI & data governance

Artificial intelligence is changing everything — from how we serve customers to how we make business decisions. But let’s be clear: AI doesn’t magically work on its own. Behind every smart model or automation is something far less glamorous, but absolutely essential: Data readiness. If your data isn’t accurate, accessible, and understood, even the most […]
Blog data quality

5 reasons why data governance must connect to a data quality tool

When it comes to data governance and data quality, many companies assume that an all-in-one solution is ideal. After all, having an integrated data quality tool within your data governance platform sounds convenient, right? In reality, choosing a flexible data governance solution  – One that can connect seamlessly to in-house or best-in-class data quality providers  […]

Content Tabs (Horizontal)


Content Tabs (Vertical)

Capture ideas from across the organization, evaluate opportunities, and turn them into aligned, value-driven data and AI initiatives.

Capture ideas from across the organization, evaluate opportunities, and turn them into aligned, value-driven data and AI initiatives.

Capture ideas from across the organization, evaluate opportunities, and turn them into aligned, value-driven data and AI initiatives.

Capture ideas from across the organization, evaluate opportunities, and turn them into aligned, value-driven data and AI initiatives.

Capture ideas from across the organization, evaluate opportunities, and turn them into aligned, value-driven data and AI initiatives.


Questions we hear a lot about Data Catalog

Can a data catalog scale with my team as we grow?

Absolutely. A robust catalog supports multi-domain growth, role-based access, and metadata from an expanding tech stack. DataGalaxy is designed to grow with your needs — across teams, geographies, and governance maturity.

Can DataGalaxy adapt to my organization’s data landscape?

Yes. DataGalaxy is built to support hybrid, multi-cloud, and evolving ecosystems. Whether you’re wrangling spreadsheets, Snowflake, or SaaS tools, the platform connects and documents everything — while staying flexible enough to reflect your teams’ real-life workflows, business terms, and governance needs.

Can I bring my metadata and lineage from my current tool?

Yes. We support metadata ingestion via:
👉 – API connectors
👉 – Excel/CSV imports
👉 – Direct integrations (where possible)
👉 Our team helps you map your current model into DataGalaxy’s semantic layer so you don’t lose context or traceability.
? Book a migration assessment

Can I build my own data catalog?

You could, but you shouldn’t. Custom solutions are hard to scale, difficult to maintain, and lack governance features. Off-the-shelf platforms like DataGalaxy are purpose-built, continuously updated, and ready for enterprise complexity.

Can I compare DataGalaxy to other data catalog tools?

Yes. We provide detailed comparisons vs. Alation, Collibra, Atlan, and others — or you can request a personalized assessment.

Can I connect data products to business domains or KPIs?

Yes. Every product can be linked to business objectives, glossary terms, and value indicators — so you can align delivery with impact

Can I deploy this in our own environment?

Yes. You can choose SaaS or self-hosted deployment, with full support for hybrid or private cloud architectures.


Request a demo


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