

Microsoft Purview Data Governance and MANTA Flow compete in data governance and lineage. Microsoft Purview leads in pricing and support satisfaction, while MANTA Flow offers superior features.
Features: Microsoft Purview Data Governance provides a centralized platform for managing data assets, ensuring compliance, and implementing access policies. It emphasizes integration with Azure services. MANTA Flow offers comprehensive data lineage visualization, automatic impact analysis, and compatibility with multiple data environments.
Ease of Deployment and Customer Service: Microsoft Purview's deployment is streamlined within Azure environments, supported by robust service. MANTA Flow offers a flexible deployment model, supporting on-premises and cloud integrations, although it may be more complex to set up.
Pricing and ROI: Microsoft Purview Data Governance is cost-effective for enterprises with investments in Microsoft technologies, providing good returns due to ecosystem integration. MANTA Flow, with potentially higher initial setup costs, delivers significant ROI through detailed lineage and impact analysis, beneficial for complex data environments.
| Product | Mindshare (%) |
|---|---|
| Microsoft Purview Data Governance | 9.5% |
| MANTA Flow | 0.8% |
| Other | 89.7% |

| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 13 |
| Large Enterprise | 32 |
MANTA Flow is a data lineage platform designed to deliver insights into the data pipeline, enhancing transparency and improving decision-making for data-heavy organizations.
It efficiently maps out and visualizes data flow across complex environments, allowing companies to trace data origin, transformation, and destination. With its robust analytical capabilities, MANTA Flow significantly streamlines data governance and compliance efforts, offering a detailed overview of all dependencies and potential risk factors within the data landscape.
What are the most essential features of MANTA Flow?MANTA Flow is implemented across sectors including finance and healthcare, where tracking data lineage is crucial for meeting compliance standards. It provides tailored solutions adapting to unique industry requirements, ensuring data processing transparency and accuracy in high-stakes environments.
Microsoft Purview Data Governance provides comprehensive data cataloging, lineage, and classification across multi-cloud environments, integrating seamlessly with Azure to enhance data management and compliance with flexible APIs.
Microsoft Purview Data Governance is designed to streamline data management processes through effective data cataloging, lineage tracking, and classification, all within multi-cloud environments. It supports seamless integration with Azure, enabling metadata consolidation and flexible API data exchange, which contributes to enhanced governance. The platform emphasizes critical compliance and security by offering real-time compliance visibility. Automation features, role-based security, and native app connectivity are included to optimize time and resource expenditure. Users appreciate AI-driven risk detection and customizable classifications, effectively managing sensitive information. However, areas for improvement include data quality features, better integration with non-Microsoft products, and enhancing its interface intuitiveness. Improvements are also sought for role management, compliance reporting, support for diverse data sources, efficient lineage tracking, DLP capabilities, documentation, integration with external cloud platforms, and training resources. Real-time notifications and enhanced scanning are highlighted for better data management.
What are the essential features?Industries implement Microsoft Purview Data Governance to leverage its data cataloging, lineage, and loss prevention capabilities. The tool assists in scanning and documentation of data sources, aiding in data classification, governance, and compliance. Integration with tools like Synapse and Power Platform enables streamlined data management and improved data security across cloud-based and on-premises environments.
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