# Collate vs. Microsoft Purview Purpose-built data governance vs. a compliance add-on Collate's Semantic Context Platform was designed from day one to power AI agents, data governance, discovery, quality, observability, and lineage. Purview is a compliance product with governance features added, and the differences matter. [Get Collate Free](/pricing)[Book a Demo](/book-demo) Trusted by 3,000+ enterprise deployments worldwide ![FreeNow](/images/brands/freenow.png)![Gorgias](/images/brands/gorgias.png)![Orsted](/images/brands/orsted.png)![inDrive](/images/brands/inDrive.png)![Thndr](/images/brands/thndr.png)![Mango](/images/brands/mango.png)![Carrefour](/images/brands/carrefour-black.png)![Loggi](/images/brands/loggi.png)![FreeNow](/images/brands/freenow.png)![Gorgias](/images/brands/gorgias.png)![Orsted](/images/brands/orsted.png)![inDrive](/images/brands/inDrive.png)![Thndr](/images/brands/thndr.png)![Mango](/images/brands/mango.png)![Carrefour](/images/brands/carrefour-black.png)![Loggi](/images/brands/loggi.png) ## Why data teams choose Collate over Purview ![](/images/competitive/graph.svg) ### Shared understanding, faster insights Shared meaning across people and AI so every team finds, interprets, and uses data the same way. Collate's semantic context graph transforms metadata into shared meaning, while AskCollate and specialized AI agents automate the manual work that slows data teams down. Purview's AI focuses on governing Microsoft's own AI products. It doesn't document assets, classify tiers, or generate quality tests for your data team. ![](/images/competitive/gear.svg) ### One platform, total trust Integrated discovery, lineage, quality, observability in a single architecture. Collate connects 120+ sources across AWS, Azure, GCP, and on-premises with equal governance depth everywhere, using API-first ingestion that runs 5-6x faster than Kafka-heavy alternatives. Purview offers 46 connectors with deep Azure integration, but non-Azure sources lack policy enforcement, label write-back, and live view. ![](/images/competitive/star.svg) ### Activate AI with confidence Automated documentation, governance, classification, plus data contracts ensure compliance at scale. Collate uses JSON Schema and RDF/DCAT to make your metadata LLM-ready and portable from day one. Purview stores metadata in a proprietary format with no knowledge graph, no open export, and no versioning control. Your metadata requires transformation before any LLM can use it. ## See your entire data estate in one place Collate's Semantic Context Platform gives data teams a single view of every asset across 120+ sources. Discover, govern, and monitor data quality from one unified interface that works the same way across AWS, Azure, GCP, and on-premises environments. ![See your entire data estate in one place](/images/competitive/collate-product.webp)![See your entire data estate in one place](/images/competitive/collate-product-mobile.webp) ## How Collate and Microsoft Purview compare Capability Collate Purview AI agent platform ✓7 specialized agents (Ingestion, Lineage, Documentation, Classification, Tiering, Quality, SQL) ✗No data governance agents; AI features focused on governing Microsoft Copilot, not automating data management Conversational AI ✓AskCollate — native, built on Semantic Context Graph ◐Security Copilot integration (preview, separate SCU license); catalog search only AI analytics ✓Natural language to charts, dashboards, and analytical insights ✗No native AI analytics (Microsoft Fabric, not Purview) AI studio ✓UI to build and deploy agents grounded in semantic context, no prompt engineering ✗No equivalent agent-building environment AI SDK ✓Invoke Collate's agents and embed semantic context into external applications ✗No equivalent AI SDK MCP server ✓Enterprise MCP with full governance layer enforced on every call ✗No MCP server Semantic context layer ✓RDF/DCAT for portable, AI-ready semantics; formal ontologies for business concept mapping ✗No knowledge graph; no open metadata export Metadata standards ✓JSON Schema, RDF/DCAT, Open Data Contracts, Open Data Lineage ✗Proprietary Apache Atlas-based metadata store; no versioning or open export Data quality & observability ✓25+ test types, DQ as Code, anomaly detection, incident management — included ◐Custom SQL rules GA, but DGPU consumption charges, no incident management Data contracts ✓GA — UI-driven with enforcement and ODCS v3.1.0 ✗No data contracts Data lineage ✓Column and table-level lineage from source to dashboard with impact analysis ◐Lineage available but limited to scanned sources; no cross-cloud lineage stitching Data product marketplace ✓Build and publish via Open Data Product Standard; Domains with access control ✗No data product marketplace Multi-cloud connectors ✓120+ cloud-agnostic with equal depth ◐46 connectors, Azure-first; non-Azure sources lack policy enforcement Incremental extraction ✓Only syncs what changed ✗Full scans on every run Deployment flexibility ✓Self-hosted, SaaS, BYOC ◐Azure SaaS only Pricing model ✓Predictable package — all features included ◐Consumption-based with multiple meters Collate Purview Capability AI agent platform ✓7 specialized agents (Ingestion, Lineage, Documentation, Classification, Tiering, Quality, SQL) ✗No data governance agents; AI features focused on governing Microsoft Copilot, not automating data management Conversational AI ✓AskCollate — native, built on Semantic Context Graph ◐Security Copilot integration (preview, separate SCU license); catalog search only AI analytics ✓Natural language to charts, dashboards, and analytical insights ✗No native AI analytics (Microsoft Fabric, not Purview) AI studio ✓UI to build and deploy agents grounded in semantic context, no prompt engineering ✗No equivalent agent-building environment AI SDK ✓Invoke Collate's agents and embed semantic context into external applications ✗No equivalent AI SDK MCP server ✓Enterprise MCP with full governance layer enforced on every call ✗No MCP server Semantic context layer ✓RDF/DCAT for portable, AI-ready semantics; formal ontologies for business concept mapping ✗No knowledge graph; no open metadata export Metadata standards ✓JSON Schema, RDF/DCAT, Open Data Contracts, Open Data Lineage ✗Proprietary Apache Atlas-based metadata store; no versioning or open export Data quality & observability ✓25+ test types, DQ as Code, anomaly detection, incident management — included ◐Custom SQL rules GA, but DGPU consumption charges, no incident management Data contracts ✓GA — UI-driven with enforcement and ODCS v3.1.0 ✗No data contracts Data lineage ✓Column and table-level lineage from source to dashboard with impact analysis ◐Lineage available but limited to scanned sources; no cross-cloud lineage stitching Data product marketplace ✓Build and publish via Open Data Product Standard; Domains with access control ✗No data product marketplace Multi-cloud connectors ✓120+ cloud-agnostic with equal depth ◐46 connectors, Azure-first; non-Azure sources lack policy enforcement Incremental extraction ✓Only syncs what changed ✗Full scans on every run Deployment flexibility ✓Self-hosted, SaaS, BYOC ◐Azure SaaS only Pricing model ✓Predictable package — all features included ◐Consumption-based with multiple meters ## What data leaders say about Collate ![Wix](/images/testimonials/wix.png) “OpenMetadata gives us a trusted foundation for AI-driven decision-making, letting our teams innovate faster and more confidently across the business.” Website Builder Company ![Mango](/images/brands/Mango-3.svg) “Collate has transformed the way Mango manages its data assets and how its data users work together, unlocking new opportunities for collaboration, growth, and innovation.” Global Fashion Retailer ![RATP](/images/brands/ratp-colored.svg) “Collate provides all the capabilities in one platform that allow us to carry out our metadata management activities efficiently to ensure consistent data usage and trust.” Public Transport Operator for Paris ## About the Platforms ![Collate](/images/collate-logo.svg) Collate is the Semantic Intelligence Platform and the company behind the OpenMetadata project. It turns metadata into shared meaning so people and AI can work from the same understanding of data. Collate applies that semantic foundation across discovery, lineage, quality, observability, and governance to enable trusted analytics, explainable AI, and automated governance at enterprise scale. Global 2000 companies and innovative startups rely on Collate to accelerate insights and build AI-ready data foundations. Headquartered in Silicon Valley, Collate is backed by world-class investors including Venrock, Unusual Ventures, and Karman Ventures. ![Microsoft Purview](/images/competitive/logo/purview.svg) Microsoft Purview is a data governance and compliance platform that combines the former Azure Purview (launched September 2021) with Microsoft 365 compliance tools (merged April 2022). Purview offers strong capabilities for M365 compliance, including DLP, eDiscovery, sensitivity labeling, and Copilot governance across the Microsoft ecosystem. ## FAQs Collate vs. Microsoft Purview Expand All Is Microsoft Purview included with my E5 license?+ Partially. Your E5 license covers Purview's compliance features (DLP, eDiscovery, audit, Compliance Manager). However, the data governance catalog, data quality, and lineage features are billed separately through Azure consumption at $0.50 per governed asset per month. How do Collate and Purview compare on data quality?+ Collate has offered native, comprehensive data quality since day one, with 25+ built-in test types, DQ as Code, anomaly detection, incident management, and DataDiff — all included at no extra cost. Purview's data quality capabilities are improving, but DQ is still billed per Data Governance Processing Unit (DGPU) and does not support CSV/TSV files, cross-table validation, incident management, or anomaly detection. Can Purview govern data outside of Azure?+ Purview can scan and catalog data across AWS, GCP, and on-premises sources using 46 connectors. However, governance capabilities like policy enforcement, sensitivity label write-back, and live view are largely limited to Azure-native sources. Collate provides equal governance depth across all cloud providers with 120+ connectors. Does Purview have AI agents for data governance?+ Purview integrates with Microsoft Security Copilot for natural-language catalog search (currently in preview, separate license). However, Purview does not offer autonomous agents that perform governance tasks like automated documentation, PII classification, tier assignment, or quality test generation. Collate offers AskCollate plus 5 specialized agents that automate metadata management workflows. What does Purview cost at scale?+ Purview uses consumption-based pricing. The catalog costs $0.50 per governed asset per month — $60,000/year at 10,000 assets, $300,000 at 50,000 assets. Data quality adds DGPU charges. AI features require a separate Security Copilot license. Collate includes all core capabilities in one predictable package. Can I deploy Collate in my own infrastructure?+ Yes. Collate offers three deployment options: self-hosted, managed SaaS (Collate Cloud), and BYOC (runs in your AWS, Azure, or GCP account). Purview is available only as a cloud SaaS service on Azure. How do Collate and Purview handle metadata standards?+ Collate uses JSON Schema for strongly typed, LLM-ready metadata, plus RDF/DCAT for semantic richness, Open Data Lineage, and the Open Data Contract Standard for portable data contracts. Purview uses a proprietary Apache Atlas-based metadata store with no open export format and no versioning control. Is Collate built on open source?+ Yes. Collate is built on OpenMetadata, an open-source project with 13,000+ community members. Your metadata stays portable and you avoid vendor lock-in. Purview's metadata lives in a proprietary managed store on Azure with no open export path. ## Ready to see the difference? See how 3,000+ organizations use Collate to govern data across every cloud with predictable pricing and AI-powered automation. [Get Collate Free](/pricing)[Book a Demo](/book-demo) [Explore Documentation](https://docs.getcollate.io)|[Read Case Studies](/case-studies) 4,000+ Enterprise Deployments 13,500+ Open Source Members 130+ Connectors 450+ Code Contributors