Today, data governance is under the spotlight. With over 1,000 AI-related policies now active across 69 countries, businesses are under more pressure than ever to keep track of where their data lives and how it’s used. Microsoft recently added AI-focused governance tools and pay-as-you-go pricing for its Purview suite, signaling how critical data catalogs have become.
That’s where Microsoft Purview Data Catalog comes in. It’s a central place to scan, classify, and manage data across on-prem, cloud, and hybrid setups. By combining features like data lineage, automated discovery, and a shared business glossary, it helps organizations not just find their data, but trust it.
In this blog, we’ll break down what Purview Data Catalog offers, why it matters, and how companies can use it to get control of their data while staying compliant.
What is Microsoft Purview Data Catalog? Microsoft Purview Data Catalog is a cloud service that maps out all your organization’s data. Think of it as a searchable directory for your company’s information assets.
The catalog sits within the larger Microsoft Purview suite, which handles data governance , risk, and compliance. While other Purview tools focus on security and compliance, the Data Catalog specifically helps people discover and understand data.
Its main goals are straightforward. First, it makes data easy to find. Second, it ensures proper governance controls. Third, it helps teams work together more effectively. Finally, it supports compliance requirements across different industries.
Core Features of Microsoft Purview Data Catalog 1. Automated Data Discovery Microsoft Purview Data Catalog continuously scans your data environment without manual work. It connects to Azure services, on-premises databases, file systems, and business applications.
After scanning, the catalog shows detailed information about tables, columns, files, and how they connect. Users can see what data exists and where it lives.
Supported data sources: Cloud databases like Azure SQL and Cosmos DB On-premises systems including SQL Server and Oracle File storage such as Azure Data Lake and SharePoint Business applications like SAP and Salesforce Big data platforms including Hadoop and Spark clusters2. Data Lineage Tracking Data lineage shows how information moves through your systems from start to finish. This helps teams understand data transformations and dependencies between systems.
Lineage tracking helps you: Follow data flow from source to reports Find upstream issues affecting downstream processes Plan system changes with full impact awareness Debug data quality problems faster Document transformation logic Azure Cosmos DB: How To Build Globally Scalable Applications Delve into the world of Azure Cosmos DB—exploring its powerful features, real-world applications, pricing models, and best practices
Learn More
3. Smart Search and Classification The search engine lets users find datasets using everyday business terms. They can search by table names, column names, descriptions, or business vocabulary.
Automatic classification finds sensitive data like credit card numbers, social security numbers, or email addresses. This supports both governance and compliance work.
Search capabilities include: Full-text search across all metadata and descriptions Filtering by data source, classification, or owner Results ranked by usage patterns Saved searches for common queries Browse by data characteristics 4. Business Glossary Microsoft Purview Data Catalog includes a business glossary that creates standard definitions for terms used across your organization. This shared vocabulary prevents confusion and ensures everyone understands data the same way.
Glossary features:
Define business terms with clear descriptions Link terms to relevant datasets and reports Set up relationships between concepts Assign owners and stewards for terms Track changes to definitions over time 5. Security and Access Controls Security features ensure the right people can access sensitive data while enabling discovery for authorized users. Administrators can set detailed permissions based on user roles and data sensitivity.
Security includes:
Common Use Cases for Microsoft Purview Data Catalog 1. Data Analytics Teams Analytics teams spend too much time hunting for data. They ask around, search through folders, and often settle for whatever they find quickly.
Microsoft Purview Data Catalog lets analysts search for datasets using business terms. They can see data samples, quality scores, and who else has used the data successfully .
Analytics benefits:
Find historical data for trend analysis Locate datasets used in successful projects Check data quality before building models See data refresh schedules Connect with subject matter experts 2. Compliance and Risk Teams Compliance officers need to know where sensitive data lives across the company. Regulations like GDPR require this visibility, but most organizations struggle to answer basic questions about their data.
Microsoft Purview Data Catalog automatically finds and tags sensitive information. Compliance teams can run reports showing exactly where this data exists and who can access it.
Compliance applications:
3. Business Intelligence Teams BI teams build reports and dashboards but often don’t know if their data sources are reliable. When source systems change, reports can break without warning.
Microsoft Purview Data Catalog shows data lineage, so BI developers can trace information from source to report. They can see when data was last updated and get alerts about changes.
BI scenarios:
Validate data sources before building dashboardsUnderstand calculation logic from source systems See which reports might be affected by system changes Document data definitions for report users Find opportunities to consolidate similar reports 4. Data Engineering Teams Engineers build and maintain data pipelines but often work without full visibility. They don’t know which downstream systems depend on their work, so changes can break things unexpectedly.
Microsoft Purview Data Catalog maps these dependencies clearly. Before making changes, engineers can see exactly what might be affected.
Engineering applications:
Check downstream impact of pipeline changes Find reusable datasets for new projects Document transformation logic for team members Monitor data freshness across sources Plan system migrations with full dependency maps
Microsoft Purview Data Catalog Integration 1. Azure Ecosystem Integration Microsoft Purview Data Catalog works best with Azure services. It automatically pulls information from Azure resources and maintains real-time connections. Security settings from Azure Active Directory apply automatically.
Complete Azure integrations:
2. Power BI Integration Power BI shows dataset descriptions, lineage tracking, and usage metrics directly in the workspace. Users don’t need to switch between tools to understand their data sources.
Power BI features:
Dataset descriptions in Power BI workspace Lineage tracking from source to report Usage metrics showing popular datasets Data quality indicatorsDirect links to detailed catalog information Microsoft Purview Data Catalog connects to many database systems beyond Microsoft products.
Supported databases:
Oracle with full lineage support MySQL and PostgreSQL databases MongoDB and Cassandra for NoSQL Snowflake with scanning capabilities Amazon RDS and Redshift Google BigQuery Teradata for enterprise data warehousing SAP HANA and S/4HANA IBM DB2 4. Business Application Connectors The platform connects to business applications including Salesforce, SAP systems, and various BI tools.
Business applications supported:
Salesforce for CRM data Microsoft Dataverse SAP ECC and S/4HANA Tableau and Looker Qlik Sense Erwin for data modeling
Getting Started with Microsoft Purview Data Catalog 1. Initial Setup Setting up Microsoft Purview Data Catalog starts with creating a Purview account through the Azure portal. The process needs minimal upfront setup and can be done in under an hour.
Start with a pilot approach. Focus on a few high-value data sources rather than trying to catalog everything right away.
Setup steps: Create Purview account in Azure portal Set up networking and security Configure user roles and permissions Install scan agents for on-premises sources Connect initial data sources 2. Data Source Scanning Begin scanning with your most important data sources. Choose systems that teams use frequently or that contain business-critical information.
Scanning best practices:
Start with 3-5 high-value data sources Schedule scans during off-peak hours Test with development environments first Monitor scan performance Review discovered assets before expanding 3. Building the Business Glossary Creating a business glossary takes time but provides big value. Focus on terms that cause confusion or have multiple definitions across teams.
Glossary development:
Identify frequently used business terms Get definitions from subject matter experts Set up approval workflows for new terms Link terms to relevant datasets Create relationships between concepts
Top 10 Data Governance Tools for Elevating Compliance and Security Discover the leading data governance solutions that streamline compliance management and enhance data security across enterprise environments.
Learn More
Microsoft Purview Data Catalog Limitations and Considerations 1. Cost and Licensing Microsoft Purview Data Catalog uses consumption-based pricing that can become expensive for large organizations. Costs include capacity units for scanning and storage charges for information.
Cost considerations:
Data map storage charges for metadata retention Network egress costs for multi-region deployments Staff time for administration and maintenance Integration development for custom sources
2. Learning Curve The platform assumes familiarity with data governance concepts that may be new to some users. Business users especially may find the interface challenging initially.
Adoption challenges:
Technical interface may intimidate business users Data governance concepts unfamiliar to some teams Requires cultural shift toward self-service data discovery Success depends on active user participation Ongoing maintenance requires dedicated resources
3. Microsoft Ecosystem Dependency While Purview supports various data sources, it works best within Microsoft’s technology stack. Organizations using primarily non-Microsoft tools may find integration more complex.
Dependency considerations:
Optimal performance with Microsoft Azure services Limited features for some non-Microsoft sources Integration complexity increases with diverse technology stacks Vendor lock-in concerns for some organizations May require additional tools for complete data governance
4. Technical Limitations The platform has specific technical constraints that may affect some organizations’ ability to fully leverage its capabilities.
Technical constraints:
Limited customization options for the user interface Scanning performance varies by data source type Some advanced governance features require additional licensing API limitations for custom integrations Regional availability may affect deployment options
Best Practices for Using Microsoft Purview Data Catalog Getting value from Microsoft Purview Data Catalog isn’t just about setting it up. To really make it effective, organizations should follow a few best practices that help with adoption, governance, and long-term success.
1. Start small, then scale up Instead of trying to scan every system from day one, begin with the most critical data sources—like SQL databases, Power BI datasets, or key storage accounts. This phased approach reduces complexity, makes it easier to manage early challenges, and shows quick wins to stakeholders.
2. Build a strong business glossary A catalog is only as useful as the definitions inside it. Create a shared glossary of business terms, metrics, and rules so everyone—from analysts to executives—uses the same language. This avoids confusion and improves trust in reports and dashboards.
3. Define clear roles and responsibilities Data governance works best when people know their part. Assign roles such as data owners, stewards, and consumers. Owners should ensure accuracy, stewards should monitor compliance, and consumers should use cataloged data responsibly. This structure keeps accountability clear and reduces overlap.
4. Automate classification and scanning Leverage Purview’s built-in AI classification models and scheduled scans. This ensures new datasets are automatically discovered, tagged, and labeled without manual effort. It saves time, keeps metadata fresh, and helps maintain compliance with evolving regulations.
5. Encourage adoption across teams For Purview to succeed, it must be used beyond IT. Train analysts, business users, and compliance teams to search and contribute to the catalog. The more people rely on it daily, the more valuable it becomes as a trusted data hub.
6. Monitor usage and improve continuously Use Purview’s insights dashboards to track how often assets are searched, accessed, or flagged. These metrics highlight which datasets are most valuable, which glossaries need updates, and where governance rules should be tightened. Treat it as an ongoing process, not a one-time setup.
Kanerika: Your Ideal Choice for Efficient Implementation of Microsoft Purview Kanerika, a leader in data and AI solutions, is dedicated to improving enterprise security and operational efficiency through customized, high-impact services. During times where AI-driven data threats are increasing, safeguarding sensitive information is more critical than ever. As a certified Microsoft data and AI solutions partner , we harness the power of Microsoft Purview to deliver comprehensive data protection and governance solutions that seamlessly align with your existing workflows.
Our expertise in Purview implementation ensures that your organization’s data is effectively classified, monitored, and secured across all business functions . From identifying potential risks to enforcing compliance policies, we equip your team with the tools needed to manage data confidently. With Kanerika, you gain more than just robust data governance—you achieve a secure, compliant, and future-ready digital ecosystem that drives long-term business success.
Strengthen Data Governance and Compliance with Microsoft Purview! Partner with Kanerika for Expert Purview implementation Services
Book a Meeting
FAQs What is Microsoft Purview data? Microsoft Purview data refers to the metadata, classifications, and lineage information managed within Microsoft’s unified data governance platform. It captures technical metadata from connected sources, applies sensitivity labels, and tracks data movement across your enterprise ecosystem. Purview data includes asset descriptions, ownership details, glossary terms, and compliance classifications that help organizations understand what data exists, where it resides, and how it flows. Kanerika helps enterprises configure and optimize their Microsoft Purview data governance framework—connect with our team for a tailored implementation roadmap.
Does Purview have a data catalog? Yes, Microsoft Purview includes a robust data catalog that serves as a centralized inventory of enterprise data assets. The Purview data catalog enables users to discover, understand, and govern data across on-premises, multi-cloud, and SaaS environments. It provides automated scanning, business glossary integration, and rich search capabilities that let analysts find trusted datasets without IT assistance. The catalog also captures lineage and classifications to support compliance requirements. Kanerika’s data governance specialists can accelerate your Purview data catalog deployment—schedule a discovery call to explore your options.
What is the main role of Microsoft Purview? Microsoft Purview’s main role is providing unified data governance, security, and compliance across your entire data estate. It centralizes visibility into data assets spanning Azure, AWS, on-premises systems, and SaaS applications through automated discovery and classification. Purview enables organizations to map data lineage, enforce sensitivity labels, manage access policies, and maintain regulatory compliance from a single control plane. This holistic approach eliminates governance silos while empowering data stewards with actionable insights. Kanerika delivers end-to-end Purview implementations that align governance with your business objectives—reach out for a consultation.
What problems does Microsoft Purview solve? Microsoft Purview solves critical data governance challenges including scattered metadata, unknown sensitive data locations, compliance blind spots, and poor data discoverability. Organizations struggle when data lives across multiple clouds and systems without centralized visibility. Purview addresses this by automating asset discovery, classifying sensitive information, tracking data lineage, and enforcing governance policies enterprise-wide. It eliminates manual cataloging efforts while reducing compliance risks from unmanaged data sprawl. Teams gain self-service access to trusted, well-documented datasets. Kanerika helps enterprises solve these exact governance challenges with proven Purview deployments—let us assess your current pain points.
What is the difference between Purview data map and unified catalog? The Purview data map is the foundational layer that scans and stores metadata from connected sources, capturing technical details and lineage relationships automatically. The unified catalog builds on the data map by adding business context, search functionality, and collaboration features that enable users to discover and understand assets. Think of the data map as the engine collecting raw metadata while the unified catalog is the interface where stewards enrich assets with glossary terms and users perform discovery. Both components work together for complete governance. Kanerika architects Purview solutions that optimize both layers—contact us for implementation guidance.
What is the difference between Purview and Unity Catalog? Microsoft Purview is a comprehensive enterprise data governance platform supporting multi-cloud and hybrid environments with broad connector coverage. Databricks Unity Catalog is purpose-built for governing data and AI assets within the Databricks Lakehouse ecosystem. Purview excels at organization-wide metadata management, sensitivity labeling, and compliance across diverse platforms. Unity Catalog provides fine-grained access control, lineage, and discovery specifically for Databricks workloads including notebooks and ML models. Many enterprises use both together, leveraging Purview for enterprise governance while Unity Catalog handles Lakehouse-specific needs. Kanerika integrates Purview with Databricks environments seamlessly—explore our unified governance solutions today.
What is the difference between Purview and OneLake Catalog? Microsoft Purview provides enterprise-wide data governance across multi-cloud, on-premises, and SaaS environments with comprehensive classification and compliance capabilities. OneLake Catalog is the native metadata layer within Microsoft Fabric, designed specifically for discovering and managing assets stored in OneLake. Purview offers broader scope with sensitivity labels, data lineage across external systems, and regulatory compliance tools. OneLake Catalog delivers tighter Fabric integration with automatic metadata capture for lakehouses, warehouses, and semantic models. Organizations typically use Purview for enterprise governance while OneLake Catalog handles Fabric-native discovery. Kanerika helps enterprises integrate both for comprehensive governance—book a consultation to optimize your approach.
What is the difference between Azure Data Catalog and Purview? Azure Data Catalog was Microsoft’s original metadata management service with limited scope and manual registration requirements. Microsoft Purview replaced it as a vastly expanded platform offering automated scanning, multi-cloud support, data lineage tracking, sensitivity classifications, and integrated compliance tools. While Azure Data Catalog required users to manually register assets, Purview automatically discovers metadata across 100+ source types. Purview also adds business glossaries, data quality monitoring, and policy management that Azure Data Catalog lacked. Microsoft has retired Azure Data Catalog, recommending migration to Purview. Kanerika facilitates smooth transitions from legacy catalogs to Microsoft Purview—contact us for migration support.
How is Purview Data Catalog different from a traditional database catalog? Traditional database catalogs store technical metadata for a single database system, tracking tables, columns, and relationships within that environment only. Microsoft Purview Data Catalog operates at enterprise scale, aggregating metadata across hundreds of sources including databases, data lakes, cloud services, and SaaS applications. Purview adds business context through glossaries, captures cross-system data lineage, applies sensitivity classifications, and enables self-service discovery. Unlike system-specific catalogs that serve DBAs, Purview empowers analysts, stewards, and compliance teams with unified visibility. This enterprise approach transforms metadata into a governance asset. Kanerika implements Purview catalogs that bridge technical and business metadata—speak with our governance experts.
What is included in a data catalog? A data catalog includes metadata inventories describing data assets, business glossaries defining terminology, data lineage showing how information flows between systems, and classification tags identifying sensitive content. It typically contains technical metadata like schema definitions, data types, and relationships alongside business metadata such as ownership, descriptions, and usage context. Modern catalogs like Microsoft Purview also incorporate search functionality, collaboration features, access policies, and quality metrics. This combination transforms scattered metadata into a governed, searchable knowledge base that enables self-service data discovery. Kanerika builds comprehensive data catalog implementations tailored to your governance requirements—request your free assessment today.
What is a data catalog used for? A data catalog is used to discover, understand, and govern enterprise data assets efficiently. It enables analysts to find relevant datasets through search rather than tribal knowledge, reducing time-to-insight significantly. Data stewards use catalogs to document assets, assign ownership, and maintain business glossaries. Compliance teams leverage classification and lineage features to track sensitive data for regulatory requirements. IT teams benefit from automated metadata collection that eliminates manual documentation. The Microsoft Purview data catalog specifically supports all these use cases across hybrid and multi-cloud environments. Kanerika helps organizations maximize data catalog ROI through strategic implementation—let us show you what’s possible.
What are the data products in Purview? Data products in Microsoft Purview are curated, governed collections of data assets packaged for specific business consumption. They bundle related datasets, documentation, quality metrics, and access policies into discoverable units that consumers can request and use confidently. Data products enable a product-thinking approach to data management where stewards treat data as a service rather than raw resources. Each product includes ownership, SLAs, and clear descriptions that communicate its purpose and reliability. This model accelerates trusted data sharing while maintaining governance standards across the enterprise. Kanerika helps organizations design and implement data product strategies within Purview—explore our data mesh consulting services.
What are the two types of classification in Microsoft Purview? Microsoft Purview supports system classifications and custom classifications for categorizing sensitive data. System classifications are pre-built patterns detecting common sensitive data types like credit card numbers, social security numbers, passport details, and medical records across 100+ patterns. Custom classifications let organizations define proprietary patterns matching internal identifiers, product codes, or industry-specific data unique to their environment. Both types apply automatically during scanning, labeling assets for compliance tracking and access control. This dual approach ensures comprehensive coverage of standard regulations and business-specific requirements. Kanerika configures Purview classification rules aligned with your compliance obligations—discuss your requirements with our team.
Is Microsoft Purview free? Microsoft Purview is not entirely free but offers limited capabilities within certain Microsoft 365 subscriptions. The full Microsoft Purview governance portal operates on consumption-based pricing where you pay for data map capacity, scanning, and classification operations. Some compliance features come bundled with E5 licenses while data governance capabilities require separate Azure consumption charges. Organizations starting small can leverage the free tier with restricted capacity before scaling. Pricing depends on data volume scanned, assets cataloged, and advanced features enabled. Kanerika helps enterprises right-size their Purview deployment for cost efficiency—contact us for a pricing analysis tailored to your data estate.
How expensive is Microsoft Purview? Microsoft Purview costs vary based on data map capacity units, scanning frequency, and features utilized. Capacity units start around $0.25 per hour with additional charges for scanning operations and advanced classifications. A mid-sized deployment typically ranges from $500 to several thousand dollars monthly depending on data volume and governance complexity. Enterprise implementations with extensive multi-cloud scanning and premium compliance features cost more substantially. Microsoft’s consumption model means costs scale with actual usage rather than fixed licensing. Planning proper architecture prevents unexpected expenses from over-scanning. Kanerika optimizes Purview implementations for cost-effectiveness without sacrificing governance coverage—request a ROI analysis for your environment.
How do I get started with Microsoft Purview Data Catalog? Getting started with Microsoft Purview Data Catalog begins with provisioning a Purview account in Azure portal and configuring your data map. Next, register data sources you want to catalog, such as Azure SQL, Data Lake Storage, or on-premises databases. Configure scanning credentials and schedules to automatically discover and classify assets. Define your business glossary terms and assign data stewards to enrich metadata with business context. Finally, enable access policies and train users on search and discovery features. A phased approach starting with critical sources ensures quick wins before enterprise rollout. Kanerika accelerates Purview implementations with proven deployment frameworks—start with our rapid assessment workshop.
What's new in Purview Data Catalog in 2025? Microsoft Purview Data Catalog in 2025 introduces enhanced AI-powered discovery with Copilot integration for natural language asset searches. The unified catalog experience now consolidates governance across Microsoft Fabric, Azure, and multi-cloud environments more seamlessly. Data product management capabilities have matured, enabling proper data mesh implementations with improved marketplace features. Health management dashboards provide better visibility into catalog completeness and governance coverage. Classification accuracy has improved through machine learning updates, and new connectors expand source coverage significantly. These updates strengthen Purview’s position as a comprehensive enterprise data governance platform. Kanerika stays current with latest Purview features—engage us to modernize your governance capabilities.
Is Purview a data quality tool? Microsoft Purview includes data quality capabilities but is not solely a data quality tool. Its primary strength lies in unified data governance encompassing cataloging, classification, lineage, and compliance management. Purview’s data quality features enable profiling, rule-based quality scoring, and quality monitoring across cataloged assets. However, dedicated data quality platforms like Informatica or Talend offer deeper cleansing, matching, and remediation functionality. Purview excels when organizations need integrated governance with embedded quality insights rather than standalone quality management. For most enterprises, combining Purview’s governance with specialized quality tools delivers optimal results. Kanerika architects data quality solutions that complement Purview governance—discuss your quality requirements with us.
What is the difference between data map and data catalog in Purview? The data map in Purview is the backend infrastructure that automatically scans sources, extracts technical metadata, and stores asset information with lineage relationships. It serves as the foundation capturing raw metadata from registered sources. The data catalog is the user-facing layer built on the data map, providing search, discovery, and collaboration capabilities where users find and understand assets. Stewards enrich catalog entries with business descriptions, glossary terms, and ownership while analysts perform discovery. Essentially, the data map collects and stores while the catalog organizes and presents for consumption. Kanerika optimizes both Purview layers for maximum governance value—schedule your architecture review today.
What did Microsoft Purview used to be called? Microsoft Purview was previously called Azure Purview when launched in 2020 as a standalone data governance service. In 2022, Microsoft unified its compliance and governance offerings under the Microsoft Purview brand, combining Azure Purview’s data governance capabilities with Microsoft 365 compliance features. The original Azure Data Catalog, an even earlier predecessor, was effectively succeeded by Azure Purview before the broader rebranding. This consolidation created a single governance platform spanning data estate management and information protection. Understanding this evolution helps when referencing older documentation or migration paths. Kanerika has guided organizations through each Purview evolution—leverage our experience for your governance modernization journey.
What is the difference between data inventory and data catalog? A data inventory is a basic list or spreadsheet documenting what data assets exist, typically maintained manually with minimal detail. A data catalog is an active, searchable platform that automatically discovers assets, captures rich metadata, tracks lineage, and enables collaboration around data understanding. Inventories become outdated quickly and lack context for decision-making. Catalogs like Microsoft Purview continuously update through automated scanning while providing business glossaries, classifications, and quality metrics. The catalog transforms static documentation into dynamic, governed knowledge that supports self-service discovery and compliance. Kanerika helps organizations evolve from manual inventories to automated Purview data catalogs—begin your modernization assessment with us.
Does Purview store data? No, Microsoft Purview does not store your actual source data. It only stores metadata, which includes information about your data assets such as schema definitions, classifications, lineage, and business descriptions. Your data remains in its original location whether that’s Azure SQL, Data Lake, Snowflake, or on-premises systems. Purview scans these sources to extract metadata without moving or copying underlying data. This architecture ensures data sovereignty, reduces storage costs, and maintains existing security boundaries. Organizations retain full control over where sensitive data resides while gaining centralized governance visibility. Kanerika designs Purview architectures that maximize metadata value while respecting data residency requirements—consult with our governance specialists.
