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Amazon

Amazon Athena

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Amazon S3

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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.


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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


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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?

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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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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

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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

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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

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 gov

Organizing your data with a data catalog in 3 easy steps

In this digital era, businesses and organizations are inundated with a deluge of data from various sources. With the exponential growth in data, the challenge is no longer just about collection but about understanding, organizing, and efficiently using that data. This is where data catalogs come into play.
press

DataGalaxy & Snowflake: Securing data management success

It’s no secret that Snowflake has quickly become one of the data industry’s most prized tools. Its ability to not only organize data but also to provide computing technology and cloud services makes it a powerful platform for any modern organization.
Blog AI gov

Utilizing generative AI for data & analytics

Generative AI, capable of creating new, realistic data, is set to revolutionize data analytics by enhancing analysis, uncovering patterns, and driving innovation in many industries.
Blog data gov

Diagramming tools for data catalog success

Navigating a data landscape teeming with diverse data assets is no small feat. As organizations amass larger and increasingly complex datasets, managing and making sense of this information often becomes a daunting task.
Blog data gov

Data governance for new EU AI Act compliance

Artificial intelligence is reshaping the way businesses across industries work, interact, and innovate. From automating routine, time-consuming tasks and forecasting future trends to analyzing large volumes of data and delivering valuable insights at scale, AI has the potential to release new levels of efficiency, productivity, and innovation.
Blog data gov

A complete guide to GDPR compliance

Behind the acronym of GDPR lies a regulation that has become essential in the age of all-digitality. The GDPR is the legal framework surrounding the sensitive issue of protecting the personal data of European citizens.
Blog data gov

Strategies for data product development & iteration

Unlocking the full potential of data products requires a meticulous blend of traditional methodologies and innovative strategies. Agile methodologies, such as Scrum and Kanban, stand as pillars in this process, advocating for incremental progress and continuous adaptation.
Blog data culture

Data mesh vs. data fabric: 5 vital differences

In the ever-evolving landscape of data management, two terms have gained significant attention: Data mesh and data fabric. While these concepts share common goals related to data integration and accessibility, they have distinct approaches and applications.
Blog data gov

5 crucial considerations for creating a data governance blueprint

What’s your data governance plan for Q1 & Q2 of 2024? The start of the new year brings a sense of renewal and a compelling opportunity for Chief Data Officers, Data Governance Managers, and other data leaders to refresh their current strategies and even begin some new tactics. With fresh budgets, a rejuvenated workforce, and the collective drive to begin the year on a decisive note, now is the time to act.
Blog data gov

Mastering enterprise data management in 5 easy steps

In today’s digital age, data stands as the lifeblood of organizations. Navigating the complexities of the business landscape requires more than just accumulating data; it mandates mastering enterprise data management. With data emerging from varied sources and in diverse formats, the challenge is twofold: Managing the sheer volume and ensuring its quality, integration, and security.
Blog data gov

Building a robust data governance framework: Best practices

The ability of an organization to manage and utilize its data effectively can set it apart from its competitors. The foundation of this capability rests on a robust data governance framework. Such a framework ensures that data is consistent, trustworthy, and used effectively across the organization. While most recognize its importance, building and implementing an effective data governance framework can be challenging.

Posts Grid (3 columns)

Blog data gov

Organizing your data with a data catalog in 3 easy steps

In this digital era, businesses and organizations are inundated with a deluge of data from various sources. With the exponential growth in data, the challenge is no longer just about collection but about understanding, organizing, and efficiently using that data. This is where data catalogs come into play.
press

DataGalaxy & Snowflake: Securing data management success

It’s no secret that Snowflake has quickly become one of the data industry’s most prized tools. Its ability to not only organize data but also to provide computing technology and cloud services makes it a powerful platform for any modern organization.
Blog AI gov

Utilizing generative AI for data & analytics

Generative AI, capable of creating new, realistic data, is set to revolutionize data analytics by enhancing analysis, uncovering patterns, and driving innovation in many industries.
Blog data gov

Diagramming tools for data catalog success

Navigating a data landscape teeming with diverse data assets is no small feat. As organizations amass larger and increasingly complex datasets, managing and making sense of this information often becomes a daunting task.
Blog data gov

Data governance for new EU AI Act compliance

Artificial intelligence is reshaping the way businesses across industries work, interact, and innovate. From automating routine, time-consuming tasks and forecasting future trends to analyzing large volumes of data and delivering valuable insights at scale, AI has the potential to release new levels of efficiency, productivity, and innovation.
Blog data gov

A complete guide to GDPR compliance

Behind the acronym of GDPR lies a regulation that has become essential in the age of all-digitality. The GDPR is the legal framework surrounding the sensitive issue of protecting the personal data of European citizens.
Blog data gov

Strategies for data product development & iteration

Unlocking the full potential of data products requires a meticulous blend of traditional methodologies and innovative strategies. Agile methodologies, such as Scrum and Kanban, stand as pillars in this process, advocating for incremental progress and continuous adaptation.
Blog data culture

Data mesh vs. data fabric: 5 vital differences

In the ever-evolving landscape of data management, two terms have gained significant attention: Data mesh and data fabric. While these concepts share common goals related to data integration and accessibility, they have distinct approaches and applications.
Blog data gov

5 crucial considerations for creating a data governance blueprint

What’s your data governance plan for Q1 & Q2 of 2024? The start of the new year brings a sense of renewal and a compelling opportunity for Chief Data Officers, Data Governance Managers, and other data leaders to refresh their current strategies and even begin some new tactics. With fresh budgets, a rejuvenated workforce, and the collective drive to begin the year on a decisive note, now is the time to act.
Blog data gov

Mastering enterprise data management in 5 easy steps

In today’s digital age, data stands as the lifeblood of organizations. Navigating the complexities of the business landscape requires more than just accumulating data; it mandates mastering enterprise data management. With data emerging from varied sources and in diverse formats, the challenge is twofold: Managing the sheer volume and ensuring its quality, integration, and security.
Blog data gov

Building a robust data governance framework: Best practices

The ability of an organization to manage and utilize its data effectively can set it apart from its competitors. The foundation of this capability rests on a robust data governance framework. Such a framework ensures that data is consistent, trustworthy, and used effectively across the organization. While most recognize its importance, building and implementing an effective data governance framework can be challenging.

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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