COMPARISON GUIDE
Microsoft Purview vs OvalEdge
Two strong choices for data catalogue and governance. Here's how Microsoft Purview and OvalEdge compare on coverage, lineage, data quality, pricing and adoption, and how to choose.
Microsoft Purview and OvalEdge both help people find data, understand what it means and decide whether to trust it. They come from different places. Purview is Microsoft's family of governance, security and compliance tools, built into Azure, Microsoft 365 and Fabric. OvalEdge is an independent data catalogue and governance platform designed to work across many technologies.
For most organisations, the decision comes down to how much of your data lives in Microsoft, how far your lineage needs to reach, and how you'd like to pay.
We're an OvalEdge partner, and we also work with Microsoft Purview in our Microsoft data projects. We've aimed to keep this guide balanced, and we'll tell you when Purview is the better fit.
Side-by-Side Comparison
| Feature | Microsoft Purview | OvalEdge |
|---|---|---|
| Vendor and focus | Microsoft. One family for data governance (Unified Catalog and Data Map) and data security and compliance (sensitivity labels, data loss prevention) | Independent vendor focused on data catalogue and governance across any technology |
| Best-covered sources | Azure, Microsoft Fabric, Power BI and Microsoft 365, plus scanning of many others, including Snowflake, Databricks, Oracle, SAP, Teradata, Google BigQuery and Amazon S3 | 170+ pre-built connectors across databases, ETL tools, BI tools and business applications, whatever the vendor |
| Data lineage | Automatic for Azure Data Factory, Synapse, Fabric, Power BI and Databricks. Limited or not available for some other sources, such as Tableau and Salesforce | Column-level lineage across databases, ETL and BI tools, including non-Microsoft BI |
| Catalogue and glossary | Unified Catalog with governance domains, data products, glossary terms and critical data elements | Data catalogue and business glossary, with stewardship workflows |
| Data quality | Data quality rules and health controls in Unified Catalog | Data quality rules and scorecards built into the platform |
| Sensitive data and access | Automatic classification and sensitivity labels, plus Microsoft 365 data security and data access policies for some sources | Personal data discovery and tagging for privacy compliance, and data access request workflows |
| AI features | Data Security Posture Management for AI helps govern how Copilot and other AI apps use your data | askEdgi lets people ask questions of governed data in plain language, and governance agents automate tasks such as tagging |
| Pricing model | Pay as you go in Azure: per governed asset per day, plus processing for data quality. Data security features are licensed through Microsoft 365 | Licensed, not metered: by connectors, add-on capabilities and author users, with read-only users included |
| Getting started | Already part of your Microsoft environment, so it's natural to start with Azure, Fabric and Power BI | A separate platform to set up and connect, with broad connector coverage for mixed estates |
Which Tool Should You Choose?
Choose Microsoft Purview if…
- Most of your data lives in Azure, Microsoft Fabric, Power BI and Microsoft 365
- You also need data security and compliance, such as sensitivity labels and data loss prevention
- You prefer pay-as-you-go pricing that grows with what you govern
- Your IT team wants governance inside the Microsoft tools it already manages
Choose OvalEdge if…
- Your data estate mixes vendors: Snowflake, Oracle, SAP, Tableau, Qlik, Salesforce and more
- You need column-level lineage across non-Microsoft ETL and BI tools
- You want a licence that doesn't rise as you catalogue more data
- Business users need one simple place to find, request and trust data
Can You Use Both?
Yes, and many organisations do. A common pattern is Purview for Microsoft 365 data security and compliance, such as sensitivity labels and data loss prevention, with OvalEdge as the catalogue and governance layer across every platform. The key is to decide which tool owns the business glossary and data ownership, so definitions aren't maintained in two places.
Whichever you choose, governance succeeds when people use it: clear owners, agreed definitions and a small first step. Learn more about our data governance services and our OvalEdge partnership, or read data governance essentials.
Not sure which fits your organisation?
We'll look at your data platforms, compliance needs and budget, and give you a straight recommendation, even when it's “not yet”.
Frequently Asked Questions
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