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Amazon

Amazon Athena

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Amazon S3

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OneLake

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OTIC

PostGreSQL

PowerBI report server

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Saleforce Tableau CRM

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SAP Business Objects

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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


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.

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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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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)

Business Intelligence

Data lineage: A step-by-step guide

Have you ever asked yourself, “Where did all this come from?” after dealing with copious amounts of data? You’ve discovered the importance of data lineage. In this article, we explore the importance of data lineage, how to perform it manually, and the best strategies to secure management approval for its implementation in your company.
Business Intelligence

Data lineage vs. data traceability: Unraveling key differences

Data lineage and data traceability are two essential components in data management, with each playing a pivotal role in offering valuable insights and improving data quality. Data lineage maps the journey of data from its origin, usage, and transformations, while data traceability or business lineage serves a slightly distinct purpose.
Business Intelligence

Unleashing the power of data warehouses for business outcomes

A data warehouse, also known as an enterprise data warehouse (EDW), is a digital data storage system that plays a pivotal role in business decision-making. By continuously collecting vast amounts of data from various sources, data warehouses empower companies to utilize Business Intelligence (BI) tools, generate insightful reports, and ensure regulatory compliance, ultimately leading to data-driven decisions. This article delves into the intricacies of data warehouses, their benefits, and how they differ from databases and data lakes.
Business Intelligence

Building vs. buying your data catalog

Does your company need a data catalog? Data catalogs have become essential for improving data quality, access, and insights for businesses of all sizes. Data catalogs provide a comprehensive view of a company’s data assets. Modern catalogs identify where data comes from, who produces it, and how and where it flows through an entire organization.
Business Intelligence

A complete history of the data catalog

Today’s data catalog is an advanced tool for organizing and managing an organization’s data assets. This data governance tool typically includes various features and capabilities that help users locate and understand data. These tools include a search engine, metadata tags, data lineage tracking, and collaboration tools. It may also have other features, such as data governance tools and integrations with other data management systems.
Blog metadata

Key benefits of automated data lineage

Data lineage tracks and manages data history as it moves through an organization. It visualizes the data lifecycle, including its transformations and uses, from acquisition to disposal. Data lineage is also a crucial component of data governance. Organizations handling protected or sensitive data, such as financial institutions, healthcare organizations, and technology companies, must be able to demonstrate compliance with regulations such as GDPR and SOX.
Blog data gov

Data governance best practices in banking & finance

The banking industry is entrusted with vast amounts of sensitive and confidential data, ranging from users’ personal information to their financial transactions. The responsible use of this information presents an opportunity to improve services and make informed decisions. However, it also poses significant risks if not properly managed. That’s why data governance best practices are critical for banks and financial institutions to ensure the security, compliance, and efficiency of their operations.
Catalogue de données

Data mesh vs. data fabric: Choosing the right data architecture

For businesses looking to build the best data architecture, the choice between a data mesh and a data fabric can be a challenging one. These two approaches, while similar in their goal of organizing data, have some key differences. In this article, we will explore the concept of data mesh and data fabric, their differences, and their benefits.
Blog data gov

Navigating ESG compliance in an AI-first world

Climate change has been a mainstream topic for the last decade and more. It continues gaining popularity among global citizens as we witness adverse events related to global warming, melting glaciers, lost habitats, animal extinction, food shortage, and life expectancy. As more scientific evidence becomes public, it warrants a change in global strategy among various governments and organizations. The impact of Greenhouse Gas (GHG) emissions could be inevitable if not mitigated in time.
Blog data gov

Data Analysts’ role in corporate data governance strategy

Data governance plans are essential for businesses to extract value from data, improve data quality, drive better decision-making practices, and increase operational efficiency. As the facilitators of organizational data governance plans, Data Analysts play a key role in the design and application of personalized plans that work best for their company. Discover Data Analysts’ key responsibilities and skills that make them an essential cog in an organization’s data and metadata management strategy.

Posts Grid (3 columns)

Business Intelligence

Data lineage: A step-by-step guide

Have you ever asked yourself, “Where did all this come from?” after dealing with copious amounts of data? You’ve discovered the importance of data lineage. In this article, we explore the importance of data lineage, how to perform it manually, and the best strategies to secure management approval for its implementation in your company.
Business Intelligence

Data lineage vs. data traceability: Unraveling key differences

Data lineage and data traceability are two essential components in data management, with each playing a pivotal role in offering valuable insights and improving data quality. Data lineage maps the journey of data from its origin, usage, and transformations, while data traceability or business lineage serves a slightly distinct purpose.
Business Intelligence

Unleashing the power of data warehouses for business outcomes

A data warehouse, also known as an enterprise data warehouse (EDW), is a digital data storage system that plays a pivotal role in business decision-making. By continuously collecting vast amounts of data from various sources, data warehouses empower companies to utilize Business Intelligence (BI) tools, generate insightful reports, and ensure regulatory compliance, ultimately leading to data-driven decisions. This article delves into the intricacies of data warehouses, their benefits, and how they differ from databases and data lakes.
Business Intelligence

Building vs. buying your data catalog

Does your company need a data catalog? Data catalogs have become essential for improving data quality, access, and insights for businesses of all sizes. Data catalogs provide a comprehensive view of a company’s data assets. Modern catalogs identify where data comes from, who produces it, and how and where it flows through an entire organization.
Business Intelligence

A complete history of the data catalog

Today’s data catalog is an advanced tool for organizing and managing an organization’s data assets. This data governance tool typically includes various features and capabilities that help users locate and understand data. These tools include a search engine, metadata tags, data lineage tracking, and collaboration tools. It may also have other features, such as data governance tools and integrations with other data management systems.
Blog metadata

Key benefits of automated data lineage

Data lineage tracks and manages data history as it moves through an organization. It visualizes the data lifecycle, including its transformations and uses, from acquisition to disposal. Data lineage is also a crucial component of data governance. Organizations handling protected or sensitive data, such as financial institutions, healthcare organizations, and technology companies, must be able to demonstrate compliance with regulations such as GDPR and SOX.
Blog data gov

Data governance best practices in banking & finance

The banking industry is entrusted with vast amounts of sensitive and confidential data, ranging from users’ personal information to their financial transactions. The responsible use of this information presents an opportunity to improve services and make informed decisions. However, it also poses significant risks if not properly managed. That’s why data governance best practices are critical for banks and financial institutions to ensure the security, compliance, and efficiency of their operations.
Catalogue de données

Data mesh vs. data fabric: Choosing the right data architecture

For businesses looking to build the best data architecture, the choice between a data mesh and a data fabric can be a challenging one. These two approaches, while similar in their goal of organizing data, have some key differences. In this article, we will explore the concept of data mesh and data fabric, their differences, and their benefits.
Blog data gov

Navigating ESG compliance in an AI-first world

Climate change has been a mainstream topic for the last decade and more. It continues gaining popularity among global citizens as we witness adverse events related to global warming, melting glaciers, lost habitats, animal extinction, food shortage, and life expectancy. As more scientific evidence becomes public, it warrants a change in global strategy among various governments and organizations. The impact of Greenhouse Gas (GHG) emissions could be inevitable if not mitigated in time.
Blog data gov

Data Analysts’ role in corporate data governance strategy

Data governance plans are essential for businesses to extract value from data, improve data quality, drive better decision-making practices, and increase operational efficiency. As the facilitators of organizational data governance plans, Data Analysts play a key role in the design and application of personalized plans that work best for their company. Discover Data Analysts’ key responsibilities and skills that make them an essential cog in an organization’s data and metadata management strategy.

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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