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Amazon

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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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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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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)

Catalogue de données

7 important data catalog features you should know

In today’s data-centric business environment, a data catalog plays an integral role in helping organizations manage their data assets effectively. Essentially, a data catalog serves as a centralized inventory for data that enables easy data discovery, understanding, and management. Packed with useful data catalog features, it holds the key to unlocking the potential of your organization’s data. In this article, we’ll dive into seven crucial features you should consider when evaluating a data catalog.
Blog data gov

Understanding the importance of data governance for businesses

Data governance is the process of managing the availability, usability, integrity and security of the data in enterprise systems. Simply put data governance is an organizational framework that sets out how businesses manage, maintain, and utilize their data. It focuses on data quality, consistency, and accessibility, aiming to ensure that every piece of information is trustworthy and valuable. With the volume of business data growing exponentially each day, the importance of data governance has become increasingly more pronounced. It acts as the backbone of efficient decision-making, helping companies transform raw data into actionable insights.
Blog data gov

The Data Engineer’s role in data governance

With much focus on data analysis and insights, it can be easy to overlook the infrastructure that supports it. Yet, without a well-structured infrastructure, data lacks a functional foundation. Focused on creating and maintaining architectures, Data Engineers also support data modeling, warehousing, and transformation: essentially, they work with everything necessary to ensure that data is ready for analysis.
Blog data gov

Everything you need to create data management frameworks for business success

In an era where data drives almost every aspect of business operations, understanding how to manage it becomes paramount. Data management frameworks create a cohesive set of standards, policies, and procedures that ensure data is handled efficiently and effectively throughout its lifecycle. A well-constructed framework not only ensures the quality and integrity of data but also facilitates its usability across various business functionalities.
Blog data gov

Retail data governance: Best practices

Exceptional customer experiences are a hallmark of successful retailers – It can help ensure stores provide curated recommendations, deliver unique shopping experiences, and protect and secure personal data.
Business Intelligence

Data governance vs. information governance: Key differences

While “data governance” and “information governance” are often used interchangeably, they represent different, but overlapping, concepts in the realm of data management. It’s important to understand the distinction between these two terms to implement effective strategies in your organization, as both these practices have unique goals, processes, and values that they bring to any organization.
Blog metadata

Reference data management 101: Definition & benefits

In today’s world, data is the driving force behind successful businesses. Efficient data management, particularly reference data management, is key to making informed decisions and driving growth. This article aims to demystify the concept of reference data management for those interested in exploring data knowledge options, discussing its definition, benefits, and why it’s an essential part of successful business operations.
Business Intelligence

Business Intelligence Manager roles: Current & future

Business Intelligence has evolved significantly over the past few decades. From its roots as a collection of reporting tools, Business Intelligence has evolved into a term to describe sophisticated analytics platforms. As organizations increasingly rely on data to drive keen decision-making, the need for skilled professionals to manage these systems has exploded.

Posts Grid (3 columns)

Catalogue de données

7 important data catalog features you should know

In today’s data-centric business environment, a data catalog plays an integral role in helping organizations manage their data assets effectively. Essentially, a data catalog serves as a centralized inventory for data that enables easy data discovery, understanding, and management. Packed with useful data catalog features, it holds the key to unlocking the potential of your organization’s data. In this article, we’ll dive into seven crucial features you should consider when evaluating a data catalog.
Blog data gov

Understanding the importance of data governance for businesses

Data governance is the process of managing the availability, usability, integrity and security of the data in enterprise systems. Simply put data governance is an organizational framework that sets out how businesses manage, maintain, and utilize their data. It focuses on data quality, consistency, and accessibility, aiming to ensure that every piece of information is trustworthy and valuable. With the volume of business data growing exponentially each day, the importance of data governance has become increasingly more pronounced. It acts as the backbone of efficient decision-making, helping companies transform raw data into actionable insights.
Blog data gov

The Data Engineer’s role in data governance

With much focus on data analysis and insights, it can be easy to overlook the infrastructure that supports it. Yet, without a well-structured infrastructure, data lacks a functional foundation. Focused on creating and maintaining architectures, Data Engineers also support data modeling, warehousing, and transformation: essentially, they work with everything necessary to ensure that data is ready for analysis.
Blog data gov

Everything you need to create data management frameworks for business success

In an era where data drives almost every aspect of business operations, understanding how to manage it becomes paramount. Data management frameworks create a cohesive set of standards, policies, and procedures that ensure data is handled efficiently and effectively throughout its lifecycle. A well-constructed framework not only ensures the quality and integrity of data but also facilitates its usability across various business functionalities.
Blog data gov

Retail data governance: Best practices

Exceptional customer experiences are a hallmark of successful retailers – It can help ensure stores provide curated recommendations, deliver unique shopping experiences, and protect and secure personal data.
Business Intelligence

Data governance vs. information governance: Key differences

While “data governance” and “information governance” are often used interchangeably, they represent different, but overlapping, concepts in the realm of data management. It’s important to understand the distinction between these two terms to implement effective strategies in your organization, as both these practices have unique goals, processes, and values that they bring to any organization.
Blog metadata

Reference data management 101: Definition & benefits

In today’s world, data is the driving force behind successful businesses. Efficient data management, particularly reference data management, is key to making informed decisions and driving growth. This article aims to demystify the concept of reference data management for those interested in exploring data knowledge options, discussing its definition, benefits, and why it’s an essential part of successful business operations.
Business Intelligence

Business Intelligence Manager roles: Current & future

Business Intelligence has evolved significantly over the past few decades. From its roots as a collection of reporting tools, Business Intelligence has evolved into a term to describe sophisticated analytics platforms. As organizations increasingly rely on data to drive keen decision-making, the need for skilled professionals to manage these systems has exploded.

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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