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Alation

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

Collibra

CSV

Databricks

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

Jira

Json Schema

Local File System

Looker

Maria DB

Microsoft Teams

MicroStrategy

MongoDB

Monte Carlo

MySQL

OneLake

Oracle

OTIC

PostGreSQL

Power BI

PowerBI report server

Qlik Sense

Saleforce Tableau CRM

Salesforce

SAP Business Objects

SAP Hana

ServiceNow

Sifflet

Slack

Snowflake

Soda

SQL Server

Starburst

Swagger Open API

Tableau Server

Talend

Talend Cloud

Teradata

Trino

Vertica

XML Schema (XSD)

Recent Posts

Recent Posts

Blog data quality
05 Jun 2025
6 mins read
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
03 Jun 2025
7 mins read
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
30 May 2025
9 mins read
AI

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
28 May 2025
7 mins read
AI

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
22 May 2025
7 mins read
AI

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, […]

Recent Posts

Blog data quality
05 Jun 2025
6 mins read
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
03 Jun 2025
7 mins read
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
30 May 2025
9 mins read
AI

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
28 May 2025
7 mins read
AI

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
22 May 2025
7 mins read
AI

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, […]

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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.

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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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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.

Visit our trust center

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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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Partner (manual entry) with link

Platinum

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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

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

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

Tags

Platinum Gold Silver Meta Meta

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

Alation

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

Collibra

CSV

Databricks

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

Jira

Json Schema

Local File System

Looker

Maria DB

Microsoft Teams

MicroStrategy

MongoDB

Monte Carlo

MySQL

OneLake

Oracle

OTIC

PostGreSQL

Power BI

PowerBI report server

Qlik Sense

Saleforce Tableau CRM

Salesforce

SAP Business Objects

SAP Hana

ServiceNow

Sifflet

Slack

Snowflake

Soda

SQL Server

Starburst

Swagger Open API

Tableau Server

Talend

Talend Cloud

Teradata

Trino

Vertica

XML Schema (XSD)

Posts Grid (2 columns)

All AI Data Catalog Data Culture Data Governance Data Quality Value Governance
press
12 Sep 2024
6 mins read
Press

Synchronize your Snowflake tags with DataGalaxy

Managing and governing data across multiple platforms can be a daunting task, especially when it comes to maintaining consistency and discoverability. Tags are essential for categorizing and finding data efficiently, but when tags are not synchronized between systems, particularly in a widely adopted Snowflake data platform, it can lead to inconsistencies and data governance issues. […]
Blog data gov
10 Sep 2024
6 mins read
Data Governance

Data mesh architecture & data catalog winning data strategy

Data mesh, a modern architectural and organizational concept that decentralizes data management, aims to overcome the limitations of traditional, monolithic data architectures. Keep reading to discover the benefits of utilizing a data mesh architecture with a data catalog to create a true data-driven strategy for all your teams. Data mesh defined Data mesh is an […]
Blog data gov
20 Aug 2024
5 mins read
Data Governance

Data lake vs. data warehouse: What’s the difference?

While both serve as critical data management components, data lakes and warehouses offer distinct approaches to storing, processing, and utilizing data. Understanding the differences between these two systems is crucial for organizations to optimize their data strategies and meet their unique needs. Data lakes & data warehouses defined In data management, two prominent players stand […]
press
16 Aug 2024
4 mins read
Press

Cross-technology automated lineage with DataGalaxy & Snowflake

Understanding the journey of your data across different systems and technologies is essential for effective data management and governance. However, tracking data lineage can be complex and time-consuming, especially when dealing with diverse data sources. DataGalaxy now offers cross-technology automated column-level data lineage in collaboration with the Snowflake cloud data platform, providing a comprehensive view […]
Blog AI gov
14 Aug 2024
5 mins read
AI

Unleashing the potential of AI tools with a 3 step data strategy

Data is not only the foundation of every modern organization, it also forms the foundation upon which AI can elevate your organization’s use cases with personalized experiences. However, constructing a robust data strategy can often stand between organizations becoming more data-driven and missing key opportunities for reaching new audiences and growing over time. Keep reading […]
press
12 Aug 2024
5 mins read
Press

Leveraging Snowflake’s data metrics functions in DataGalaxy

Maintaining high data quality is crucial for making informed business decisions. However, assessing and ensuring data quality across large datasets can be challenging without the right tools. DataGalaxy now supports Snowflake’s data metrics functions to help measure and manage data quality effectively for all Snowflake users. Keep reading to learn more about leveraging Snowflake’s data […]
Blog data culture
29 Jul 2024
5 mins read
Data Culture

Empowering female data leaders: A DataGalaxy fireside chat

In Season 5 of CDO Masterclass, DataGalaxy invited a distinguished panel of female leaders in data management – Kirsten Kerr from Society Insurance and Kimberley Hagerty from Compass.uol – to share their insights and experiences. Together, the panel discussed the challenges women face in the data industry, such as persistent gender biases and salary gaps, […]
Blog data gov
23 Jul 2024
4 mins read
Data Governance

Challenges & future trends in data product development

Data quality and integrity are some of the most common challenges faced during the development of data products. It’s important to ensure that the data is accurate, consistent, and reliable since any issues with these factors can adversely affect the effectiveness of the data product. In fact, data quality is likely to be the most […]
Blog data culture
16 Jul 2024
8 mins read
Data Culture

Choosing the right data governance tools: A comparative analysis

The digital age has brought with it an avalanche of data. While this data holds enormous potential for businesses, harnessing its power necessitates the use of effective data governance tools. These tools not only ensure data quality, consistency, and security but also provide a structure to manage data assets effectively. With numerous tools available in […]
Blog data culture
12 Jul 2024
7 mins read
Data Culture

Gartner’s top 5 data & analytics predictions for 2025

Did you know that Gartner estimates that by 2025, 90% of current analytics content consumers will become content creators enabled by AI? Leading analytics, research, and expert guidance firm, Gartner recently shared their thoughts on the future of the data and analytics industry, including understanding how to work with emerging AI tools while ensuring high-quality […]
Blog data culture
03 Jul 2024
8 mins read
Data Culture

What is DataOps, anyway?

DataOps (or Data Operations) is a modern practice in data management at the crossroads of devops and data science. This practice, which is critical to digital transformation and the growth of data-driven companies, provides better data lifecycle management to optimize and improve data quality.
Blog data gov
28 May 2024
6 mins read
Data Governance

Understanding & mastering data risk

Now more than ever with the popularization of generative AI tools, data risk involves the entire organization. However, risk isn’t necessarily about identifying vulnerabilities, it’s more about the impact of vulnerabilities on the whole organization.

Posts Grid (3 columns)

All AI Data Catalog Data Culture Data Governance Data Quality Value Governance
press
12 Sep 2024
6 mins read
Press

Synchronize your Snowflake tags with DataGalaxy

Managing and governing data across multiple platforms can be a daunting task, especially when it comes to maintaining consistency and discoverability. Tags are essential for categorizing and finding data efficiently, but when tags are not synchronized between systems, particularly in a widely adopted Snowflake data platform, it can lead to inconsistencies and data governance issues. […]
Blog data gov
10 Sep 2024
6 mins read
Data Governance

Data mesh architecture & data catalog winning data strategy

Data mesh, a modern architectural and organizational concept that decentralizes data management, aims to overcome the limitations of traditional, monolithic data architectures. Keep reading to discover the benefits of utilizing a data mesh architecture with a data catalog to create a true data-driven strategy for all your teams. Data mesh defined Data mesh is an […]
Blog data gov
20 Aug 2024
5 mins read
Data Governance

Data lake vs. data warehouse: What’s the difference?

While both serve as critical data management components, data lakes and warehouses offer distinct approaches to storing, processing, and utilizing data. Understanding the differences between these two systems is crucial for organizations to optimize their data strategies and meet their unique needs. Data lakes & data warehouses defined In data management, two prominent players stand […]
press
16 Aug 2024
4 mins read
Press

Cross-technology automated lineage with DataGalaxy & Snowflake

Understanding the journey of your data across different systems and technologies is essential for effective data management and governance. However, tracking data lineage can be complex and time-consuming, especially when dealing with diverse data sources. DataGalaxy now offers cross-technology automated column-level data lineage in collaboration with the Snowflake cloud data platform, providing a comprehensive view […]
Blog AI gov
14 Aug 2024
5 mins read
AI

Unleashing the potential of AI tools with a 3 step data strategy

Data is not only the foundation of every modern organization, it also forms the foundation upon which AI can elevate your organization’s use cases with personalized experiences. However, constructing a robust data strategy can often stand between organizations becoming more data-driven and missing key opportunities for reaching new audiences and growing over time. Keep reading […]
press
12 Aug 2024
5 mins read
Press

Leveraging Snowflake’s data metrics functions in DataGalaxy

Maintaining high data quality is crucial for making informed business decisions. However, assessing and ensuring data quality across large datasets can be challenging without the right tools. DataGalaxy now supports Snowflake’s data metrics functions to help measure and manage data quality effectively for all Snowflake users. Keep reading to learn more about leveraging Snowflake’s data […]
Blog data culture
29 Jul 2024
5 mins read
Data Culture

Empowering female data leaders: A DataGalaxy fireside chat

In Season 5 of CDO Masterclass, DataGalaxy invited a distinguished panel of female leaders in data management – Kirsten Kerr from Society Insurance and Kimberley Hagerty from Compass.uol – to share their insights and experiences. Together, the panel discussed the challenges women face in the data industry, such as persistent gender biases and salary gaps, […]
Blog data gov
23 Jul 2024
4 mins read
Data Governance

Challenges & future trends in data product development

Data quality and integrity are some of the most common challenges faced during the development of data products. It’s important to ensure that the data is accurate, consistent, and reliable since any issues with these factors can adversely affect the effectiveness of the data product. In fact, data quality is likely to be the most […]
Blog data culture
16 Jul 2024
8 mins read
Data Culture

Choosing the right data governance tools: A comparative analysis

The digital age has brought with it an avalanche of data. While this data holds enormous potential for businesses, harnessing its power necessitates the use of effective data governance tools. These tools not only ensure data quality, consistency, and security but also provide a structure to manage data assets effectively. With numerous tools available in […]
Blog data culture
12 Jul 2024
7 mins read
Data Culture

Gartner’s top 5 data & analytics predictions for 2025

Did you know that Gartner estimates that by 2025, 90% of current analytics content consumers will become content creators enabled by AI? Leading analytics, research, and expert guidance firm, Gartner recently shared their thoughts on the future of the data and analytics industry, including understanding how to work with emerging AI tools while ensuring high-quality […]
Blog data culture
03 Jul 2024
8 mins read
Data Culture

What is DataOps, anyway?

DataOps (or Data Operations) is a modern practice in data management at the crossroads of devops and data science. This practice, which is critical to digital transformation and the growth of data-driven companies, provides better data lifecycle management to optimize and improve data quality.
Blog data gov
28 May 2024
6 mins read
Data Governance

Understanding & mastering data risk

Now more than ever with the popularization of generative AI tools, data risk involves the entire organization. However, risk isn’t necessarily about identifying vulnerabilities, it’s more about the impact of vulnerabilities on the whole organization.

Content Tabs (Horizontal)

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TAB 2 – 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, ac pharetra tortor posuere. Aenean ante orci, pharetra nec dignissim et, interdum id urna. Aliquam rhoncus dui quis commodo interdum. Pellentesque nec posuere neque.

TAB 3 – 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, ac pharetra tortor posuere. Aenean ante orci, pharetra nec dignissim et, interdum id urna. Aliquam rhoncus dui quis commodo interdum. Pellentesque nec posuere neque.

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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