Data governance with
Snowflake & DataGalaxy

Accelerate your self-service trusted data analytics

Integrate DataGalaxy and Snowflake for enhanced data governance, security, and management. Gain a comprehensive view of your data ecosystem for better decision-making and compliance with unified product excellence.

Unified excellence with Snowflake & DataGalaxy

Trust your full data ecosystem

Ensure high data quality and trust with DataGalaxy – Maintain accurate data lineage and enhance discoverability by curating and governing your entire data estate.

Secure access & permissions

Protect sensitive information with robust security, permission controls, and advanced tagging and classification to ensure compliance.

Accelerate the valorization of your assets

Ensure high data quality and trust with DataGalaxy – Maintain accurate data lineage and enhance discoverability by curating and governing your entire data estate.

Ensure a collaborative environment

Protect sensitive information with robust security, permission controls, and advanced tagging and classification to ensure compliance.


CUSTOMERS DATABASE / PUBLIC / TABLE DETAILS COLUMNS DATA PREVIEW COPY HISTORY Name Type Ordin… Tags EMAIL DOMAIN CRM SEMANTIC_CATEGORY email ADDRESS CITY city domain: COUNTRY country domain: Term Database Public Customers Email Status Validated Owner Lea Gomez Tags CRM Domain: External tags SEMANTIC_CATEGORY: email Details Linked objects Implementation Lineage

Enforce consistent data classification

Automate data classification at scale with DataGalaxy and Snowflake’s two-way tag sync, ensuring regulatory compliance, reducing risks, and accelerating trusted data self-service initiatives.
You can also link objects with the same tags, promoting uniform data governance, enhancing data discoverability, and maintaining consistency across your data assets.

Learn more

Expose and share your Snowflake data estate

Gain a clear understanding of your Snowflake environment with detailed visual representations.
Utilize DataGalaxy’s innovative diagrams to expose and share your Snowflake data estate, empowering teams to understand interactions, enhance collaboration, and make informed decisions.

Learn more
Dataset API Library (Customer dat Customer API Dataset Data Products Library Customer 360 [Da Table Grand Parent Power BI Rep Account management Monthly Superstore Sa Table Consuming Manufacturing Marketing App Client Dashboard 360 Client churn pre Process DataSets Client DataS Anonymization DB Enterprise DWH… Sale Client_ID Us.Field Data Science Team ALGO Client Churn Process DataSets Client Data… ActivFlagMod DB Chem Substance repo Substance Nam Table Grand parent Salesforce Customer_data ActiveFlag Cust_BirtDate Cust_ID Cust_Mail Cust_Name Cust_Phone Data quality Warning DB Oracle Transat Table Redshift wareho App Producing Domains Sales Dashb. Solvency II Reporting S.22.01.04 – Impa

Advanced dual impact analysis

Our dynamic path tracker provides continuous visual coherence, enhancing user experience by allowing for efficient management and tracking of data paths.
Leverage DataGalaxy’s cutting-edge dual-path tracking to swiftly detect root causes and conduct impact analysis, enabling rapid incident remediation.

Learn more


Table dimcustumer Data quality Critical Status Validated Owner Lea Gomez Stewards Marty Sanchez Tags Sales Status Rule keck date C Checked by ast results L Table "dimcustomer" is fresh May 1, 2025 4:56PM Table "dimcustomer" is compl… May 1, 2025 4:56PM Field "emailAdress" has a valid… May 1, 2025 4:56PM Field "BirthDate" has valid date… May 1, 2025 4:56PM Details Quality Linked objects 1 Columns 4 Lineage Last results Data quality Critical

Build trust with data quality metrics

Quickly identify and resolve data quality issues, leverage Snowflake’s Data Metric Functions, and oversee your data health.
Track and manage data quality issues to build full trust in your data by leveraging Snowflake’s Data Metrics Functions, ensuring accurate decision-making and delivering AI-ready data.

Learn more
Recently viewed by you ReportSales General Tags Admin CRM Product Summary The engagement life cycle is the process that describes the stages of interaction between a business and its customers or users, from the initial contact through to long-term relationship management. It typically includes stages like awareness, onboarding, active use, retention, and loyalty. Description The is the journey between a user and a brand. It includes : – discovering the brand – evaluating its value – getting started – regular use – staying satisfied – promoting the brand engagement life cycle complete six key stages AwarenessConsiderationOnboardingEngagementRetentionAdvocacy Overview Lineage Linked objects Term Data Product Marketplace Engagement lifecycle Statut Validated Owner Lea Gomez Stewards Marty Sanchez, Jane Doe

Access all your asset information directly from your browser

Unlock detailed insights and observability into your data assets directly within Snowflake using the Google Chrome and Microsoft Edge DataGalaxy browser extensions.
This tool integrates seamlessly into Snowflake, providing real-time access to crucial information like data ownership, tags, and PII (Personally Identifiable Information) status.

Learn more
Snowflake cortex

Automated DataGalaxy semantic layers powering Snowflake Cortex

Leverage the synergy of DataGalaxy’s semantic layer and Snowflake Cortex to connect technical data with business context, ensuring accurate AI-driven insights and enabling teams to streamline reporting, improve decision-making, and uncover new growth opportunities from their analytics.

Learn more

Loved by our clients

Request a demo

Drive impact. Accelerate decisions. Scale value.